1. Ryan P, Welebob E, Hartzema AG, Stang P, Overhage JM. Surveying US observational data sources and characteristics for drug safety needs. Pharmaceutical Medicine. 2010;24(4):231-8. Active Surveillance

2. Stang PE, Ryan PB, Racoosin JA, Overhage JM, Hartzema AG, Reich C, Welebob E, Scarnecchia T, Woodcock J. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership. Ann Intern Med. 2010;153(9):600-6. Epub 2010/11/03. doi: 10.7326/0003-4819-153-9-201011020-00010. PubMed PMID: 21041580. Foundation

3. Madigan D, Ryan P. What can we really learn from observational studies? The need for empirical assessment of methodology for active drug safety surveillance and comparative effectiveness research. Epidemiology. 2011;22(5):629-31. Epub 2011/08/04. doi: 10.1097/EDE.0b013e318228ca1d. PubMed PMID: 21811110. Opinion

4. Schuemie MJ. Methods for drug safety signal detection in longitudinal observational databases: LGPS and LEOPARD. Pharmacoepidemiol Drug Saf. 2011;20(3):292-9. Epub 2010/10/15. doi: 10.1002/pds.2051. PubMed PMID: 20945505. Estimation Methods

5. Overhage JM, Ryan PB, Reich CG, Hartzema AG, Stang PE. Validation of a common data model for active safety surveillance research. J Am Med Inform Assoc. 2012;19(1):54-60. Epub 2011/11/01. doi: amiajnl-2011-000376 [pii] 10.1136/amiajnl-2011-000376. PubMed PMID: 22037893; PubMed Central PMCID: PMC3240764. Active Surveillance

6. Schuemie MJ, Coloma PM, Straatman H, Herings RM, Trifirò G, Matthews JN, Prieto-Merino D, Molokhia M, Pedersen L, Gini R. Using electronic health care records for drug safety signal detection: a comparative evaluation of statistical methods. Medical care. 2012;50(10):890-7. Estimation Methods; Active Surveillance

7. Kahn MG, Raebel MA, Glanz JM, Riedlinger K, Steiner JF. A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. Medical care. 2012;50. Data Quality

8. Carnahan RM, Moores KG. Mini-Sentinel’s systematic reviews of validated methods for identifying health outcomes using administrative and claims data: methods and lessons learned. Pharmacoepidemiol Drug Saf. 2012;21 Suppl 1:82-9. Epub 2012/01/25. doi: 10.1002/pds.2321. PubMed PMID: 22262596. Phenotyping

9. Stang PE, Ryan PB, Dusetzina SB, Hartzema AG, Reich C, Overhage JM, Racoosin JA. Health outcomes of interest in observational data: issues in identifying definitions in the literature. Health Outcomes Research in Medicine. 2012;3(1):e37-e44. Phenotyping

10. Reich C, Ryan PB, Stang PE, Rocca M. Evaluation of alternative standardized terminologies for medical conditions within a network of observational healthcare databases. J Biomed Inform. 2012;45(4):689-96. Epub 2012/06/12. doi: S1532-0464(12)00069-X [pii] 10.1016/j.jbi.2012.05.002. PubMed PMID: 22683994. Vocabulary

11. Ryan PB, Madigan D, Stang PE, Overhage JM, Racoosin JA, Hartzema AG. Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership. Stat Med. 2012;31(30):4401-15. Epub 2012/09/28. doi: 10.1002/sim.5620. PubMed PMID: 23015364. Estimation Methods

12. Kahn MG, Batson D, Schilling LM. Data model considerations for clinical effectiveness researchers. Medical care. 2012;50. ETL

13. Stang PE, Ryan PB, Overhage JM, Schuemie MJ, Hartzema AG, Welebob E. Variation in choice of study design: findings from the Epidemiology Design Decision Inventory and Evaluation (EDDIE) survey. Drug Saf. 2013;36 Suppl 1:S15-25. Epub 2013/11/06. doi: 10.1007/s40264-013-0103-1. PubMed PMID: 24166220. Estimation Methods

14. Li X, Hui S, Ryan P, Rosenman M, Overhage M. Statistical visualization for assessing performance of methods for safety surveillance using electronic databases. Pharmacoepidemiol Drug Saf. 2013;22(5):503-9. Epub 2013/02/15. doi: 10.1002/pds.3419. PubMed PMID: 23408560. Active Surveillance

15. Schilling LM, Kwan BM, Drolshagen CT, Hosokawa PW, Brandt E, Pace WD, Uhrich C, Kamerick M, Bunting A, Payne PR. Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) technology infrastructure for a distributed data network. Egems. 2013;1(1). ETL

16. Schuemie MJ, Gini R, Coloma PM, Straatman H, Herings RM, Pedersen L, Innocenti F, Mazzaglia G, Picelli G, van der Lei J, Sturkenboom MC. Replication of the OMOP experiment in Europe: evaluating methods for risk identification in electronic health record databases. Drug Saf. 2013;36 Suppl 1:S159-69. Epub 2013/11/06. doi: 10.1007/s40264-013-0109-8. PubMed PMID: 24166232. Foundation

17. Harpaz R, DuMouchel W, LePendu P, Bauer-Mehren A, Ryan P, Shah NH. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. Clin Pharmacol Ther. 2013;93(6):539-46. Epub 2013/04/11. doi: clpt201324 [pii] 10.1038/clpt.2013.24. PubMed PMID: 23571771; PubMed Central PMCID: PMC3857139. Estimation Methods

18. Simpson SE, Madigan D, Zorych I, Schuemie MJ, Ryan PB, Suchard MA. Multiple self-controlled case series for large-scale longitudinal observational databases. Biometrics. 2013;69(4):893-902. Epub 2013/10/15. doi: 10.1111/biom.12078. PubMed PMID: 24117144. Estimation Methods

19. Ryan PB, Madigan D, Stang PE, Schuemie MJ, Hripcsak G. Medication-wide association studies. CPT Pharmacometrics Syst Pharmacol. 2013;2(9):e76. Epub 2014/01/23. doi: 10.1038/psp.2013.52. PubMed PMID: 24448022; PubMed Central PMCID: PMCPMC4026636. Estimation Methods

20. Suchard MA, Simpson SE, Zorych I, Ryan P, Madigan D. Massive parallelization of serial inference algorithms for a complex generalized linear model. ACM Trans Model Comput Simul. 2013;23(1). Epub 2013/01/01. doi: 10.1145/2414416.2414791. PubMed PMID: 25328363; PubMed Central PMCID: PMCPMC4201181. Foundation

21. Hartzema AG, Reich CG, Ryan PB, Stang PE, Madigan D, Welebob E, Overhage JM. Managing data quality for a drug safety surveillance system. Drug Saf. 2013;36 Suppl 1:S49-58. Epub 2013/11/06. doi: 10.1007/s40264-013-0098-7. PubMed PMID: 24166223. Data Quality

22. Ryan P, Suchard MA, Schuemie M, Madigan D. Learning from epidemiology: interpreting observational database studies for the effects of medical products. Statistics in Biopharmaceutical Research. 2013;5(3):170-9. Estimation Methods

23. Reich CG, Ryan PB, Suchard MA. The impact of drug and outcome prevalence on the feasibility and performance of analytical methods for a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S195-204. Epub 2013/11/06. doi: 10.1007/s40264-013-0112-0. PubMed PMID: 24166235. Foundation

24. Ogunyemi OI, Meeker D, Kim HE, Ashish N, Farzaneh S, Boxwala A. Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems. Med Care. 2013;51(8 Suppl 3):S45-52. Epub 2013/06/19. doi: 10.1097/MLR.0b013e31829b1e0b. PubMed PMID: 23774519. Vocabulary

25. Hansen RA, Gray MD, Fox BI, Hollingsworth JC, Gao J, Zeng P. How well do various health outcome definitions identify appropriate cases in observational studies? Drug safety. 2013;36(1):27-32. Phenotyping

26. Zhou X, Murugesan S, Bhullar H, Liu Q, Cai B, Wentworth C, Bate A. An evaluation of the THIN database in the OMOP Common Data Model for active drug safety surveillance. Drug Saf. 2013;36(2):119-34. Epub 2013/01/19. doi: 10.1007/s40264-012-0009-3. PubMed PMID: 23329543. Active Surveillance, ETL

27. DuMouchel W, Ryan PB, Schuemie MJ, Madigan D. Evaluation of disproportionality safety signaling applied to healthcare databases. Drug Saf. 2013;36 Suppl 1:S123-32. Epub 2013/11/06. doi: 10.1007/s40264-013-0106-y. PubMed PMID: 24166229. Estimation Methods

28. Madigan D, Ryan PB, Schuemie M, Stang PE, Overhage JM, Hartzema AG, Suchard MA, DuMouchel W, Berlin JA. Evaluating the impact of database heterogeneity on observational study results. Am J Epidemiol. 2013;178(4):645-51. Epub 2013/05/08. doi: 10.1093/aje/kwt010. PubMed PMID: 23648805; PubMed Central PMCID: PMCPMC3736754. Estimation Methods

29. Ryan PB, Schuemie MJ. Evaluating performance of risk identification methods through a large-scale simulation of observational data. Drug Saf. 2013;36 Suppl 1:S171-80. Epub 2013/11/06. doi: 10.1007/s40264-013-0110-2. PubMed PMID: 24166233. Estimation Methods

30. Suchard MA, Zorych I, Simpson SE, Schuemie MJ, Ryan PB, Madigan D. Empirical performance of the self-controlled case series design: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S83-93. Epub 2013/11/06. doi: 10.1007/s40264-013-0100-4. PubMed PMID: 24166226. Estimation Methods

31. Madigan D, Schuemie MJ, Ryan PB. Empirical performance of the case-control method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S73-82. Epub 2013/11/06. doi: 10.1007/s40264-013-0105-z. PubMed PMID: 24166225. Estimation Methods

32. Norén GN, Bergvall T, Ryan PB, Juhlin K, Schuemie MJ, Madigan D. Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S107-21. Epub 2013/11/06. doi: 10.1007/s40264-013-0095-x. PubMed PMID: 24166228. Estimation Methods

33. Schuemie MJ, Madigan D, Ryan PB. Empirical performance of LGPS and LEOPARD: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S133-42. Epub 2013/11/06. doi: 10.1007/s40264-013-0107-x. PubMed PMID: 24166230. Estimation Methods

34. Ryan PB, Schuemie MJ, Madigan D. Empirical performance of a self-controlled cohort method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S95-106. Epub 2013/11/06. doi: 10.1007/s40264-013-0101-3. PubMed PMID: 24166227. Estimation Methods

35. Ryan PB, Schuemie MJ, Gruber S, Zorych I, Madigan D. Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S59-72. Epub 2013/11/06. doi: 10.1007/s40264-013-0099-6. PubMed PMID: 24166224. Estimation Methods

36. Madigan D, Ryan PB, Schuemie M. Does design matter? Systematic evaluation of the impact of analytical choices on effect estimates in observational studies. Ther Adv Drug Saf. 2013;4(2):53-62. Epub 2013/04/01. doi: 10.1177/2042098613477445. PubMed PMID: 25083251; PubMed Central PMCID: PMCPMC4110833. Estimation Methods

37. Zorych I, Madigan D, Ryan P, Bate A. Disproportionality methods for pharmacovigilance in longitudinal observational databases. Stat Methods Med Res. 2013;22(1):39-56. Epub 2011/09/01. doi: 10.1177/0962280211403602. PubMed PMID: 21878461. Estimation Methods

38. Overhage JM, Ryan PB, Schuemie MJ, Stang PE. Desideratum for evidence based epidemiology. Drug Saf. 2013;36 Suppl 1:S5-14. Epub 2013/11/06. doi: 10.1007/s40264-013-0102-2. PubMed PMID: 24166219. Foundation

39. Huser V, Cimino JJ. Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories. AMIA Annu Symp Proc. 2013;2013:648-56. Epub 2014/02/20. PubMed PMID: 24551366; PubMed Central PMCID: PMC3900207. Vocabulary. ETL

40. Ryan PB, Schuemie MJ, Welebob E, Duke J, Valentine S, Hartzema AG. Defining a reference set to support methodological research in drug safety. Drug Saf. 2013;36 Suppl 1:S33-47. Epub 2013/11/06. v. PubMed PMID: 24166222. Foundation

41. Brown J, Kahn M, Toh S. Data quality assessment for comparative effectiveness research in distributed data networks. Medical care. 2013;51(8 0 3):S22. Data Quality

42. Ryan PB, Stang PE, Overhage JM, Suchard MA, Hartzema AG, DuMouchel W, Reich CG, Schuemie MJ, Madigan D. A comparison of the empirical performance of methods for a risk identification system. Drug Saf. 2013;36 Suppl 1:S143-58. Epub 2013/11/06. doi: 10.1007/s40264-013-0108-9. PubMed PMID: 24166231. Estimation Methods

43. Gini R, Ryan PB, Brown JS, Vacchi E, Coppola M, Cazzola W, Coloma PM, Berni R, Diallo G, Avillach P. Comparison Among EU-ADR, OMOP, Mini-Sentinel And MATRICE Strategies For Data Extraction And Management. Pharmacoepidemiology and Drug Safety. 2013;22:07030-5774. ETL

44. Katz AJ, Ryan PB, Racoosin JA, Stang PE. Assessment of case definitions for identifying acute liver injury in large observational databases. Drug Saf. 2013;36(8):651-61. Epub 2013/05/15. doi: 10.1007/s40264-013-0060-8. PubMed PMID: 23670723. Phenotyping

45. Defalco FJ, Ryan PB, Soledad Cepeda M. Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure. Health Serv Outcomes Res Methodol. 2013;13(1):58-67. Epub 2013/02/12. doi: 10.1007/s10742-012-0102-1 102 [pii]. PubMed PMID: 23396660; PubMed Central PMCID: PMC3566397. Vocabulary, Estimation Study

46. Reich CG, Ryan PB, Schuemie MJ. Alternative outcome definitions and their effect on the performance of methods for observational outcome studies. Drug Saf. 2013;36 Suppl 1:S181-93. Epub 2013/11/06. doi: 10.1007/s40264-013-0111-1. PubMed PMID: 24166234. Phenotyping; Estimation Methods

47. Lian Duan L, Khoshneshin M, Street WN, Liu M. Adverse drug effect detection. IEEE J Biomed Health Inform. 2013;17(2):305-11. Epub 2013/11/16. doi: 10.1109/TITB.2012.2227272. PubMed PMID: 24235108. Estimation Methods

48. Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D. Interpreting observational studies: why empirical calibration is needed to correct p-values. Stat Med. 2014;33(2):209-18. Epub 2013/08/01. doi: 10.1002/sim.5925. PubMed PMID: 23900808; PubMed Central PMCID: PMCPMC4285234. Foundation; Estimation Methods

49. Makadia R, Ryan PB. Transforming the Premier Perspective Hospital Database into the Observational Medical Outcomes Partnership (OMOP) Common Data Model. EGEMS (Wash DC). 2014;2(1):1110. Epub 2014/01/01. doi: 10.13063/2327-9214.1110 egems1110 [pii]. PubMed PMID: 25848597; PubMed Central PMCID: PMC4371500. ETL

50. Vilar S, Ryan PB, Madigan D, Stang PE, Schuemie MJ, Friedman C, Tatonetti NP, Hripcsak G. Similarity-based modeling applied to signal detection in pharmacovigilance. CPT Pharmacometrics Syst Pharmacol. 2014;3:e137. Epub 2014/09/25. doi: psp201435 [pii] 10.1038/psp.2014.35. PubMed PMID: 25250527; PubMed Central PMCID: PMC4211266. Estimation Methods

51. Ohno-Machado L, Agha Z, Bell DS, Dahm L, Day ME, Doctor JN, Gabriel D, Kahlon MK, Kim KK, Hogarth M. pSCANNER: patient-centered scalable national network for effectiveness research. Journal of the American Medical Informatics Association. 2014;21(4):621-6. ETL

52. Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, Milov DE, Vieland VJ, Wolf BA, Yu FB. PEDSnet: a national pediatric learning health system. Journal of the American Medical Informatics Association. 2014;21(4):602-6. ETL

53. Matcho A, Ryan P, Fife D, Reich C. Fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model. Drug Saf. 2014;37(11):945-59. Epub 2014/09/05. doi: 10.1007/s40264-014-0214-3. PubMed PMID: 25187016; PubMed Central PMCID: PMC4206771. ETL

54. Fife D, Zhu V, Voss E, Levy-Clarke G, Ryan P. Exposure to oral fluoroquinolones and the risk of retinal detachment: retrospective analyses of two large healthcare databases. Drug Saf. 2014;37(3):171-82. Epub 2014/02/15. doi: 10.1007/s40264-014-0138-y. PubMed PMID: 24526267; PubMed Central PMCID: PMCPMC3936132. Estimation Methods

55. Hansen RA, Zeng P, Ryan P, Gao J, Sonawane K, Teeter B, Westrich K, Dubois RW. Exploration of heterogeneity in distributed research network drug safety analyses. Res Synth Methods. 2014;5(4):352-70. Epub 2015/06/09. doi: 10.1002/jrsm.1121. PubMed PMID: 26052957. Estimation Methods

56. Stang P, Ryan P, Hartzema AG, Madigan D, Marc Overhage J, Welebob E, Reich CG, Scarnecchia T. Development and evaluation of infrastructure and analytic methods for systematic drug safety surveillance: lessons and resources from the observational medical outcomes partnership. Mann’s Pharmacovigilance. 2014:453-61. Active Surveillance

57. Pace WD, Fox CH, Turner White DG, Schilling LM, West DR. The DARTNet Institute: seeking a sustainable support mechanism for electronic data enabled research networks. Egems. 2014;2(2). ETL

58. Rijnbeek PR. Converting to a common data model: what is lost in translation?: Commentary on “fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model”. Drug Saf. 2014;37(11):893-6. Epub 2014/09/05. doi: 10.1007/s40264-014-0221-4. PubMed PMID: 25187018. ETL

59. Trifiro G, Coloma PM, Rijnbeek PR, Romio S, Mosseveld B, Weibel D, Bonhoeffer J, Schuemie M, van der Lei J, Sturkenboom M. Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how? J Intern Med. 2014;275(6):551-61. Epub 2014/03/19. doi: 10.1111/joim.12159. PubMed PMID: 24635221. ETL

60. Boyce RD, Ryan PB, Noren GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifiro G, Harpaz R, Overhage JM, Hartzema AG, Khayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014;37(8):557-67. Epub 2014/07/06. doi: 10.1007/s40264-014-0189-0. PubMed PMID: 24985530; PubMed Central PMCID: PMC4134480. Methods Other

61. McCormick TH, Ferrell R, Karr AF, Ryan PB. Big data, big results: Knowledge discovery in output from large-scale analytics. Statistical Analysis and Data Mining: the ASA Data Science Journal. 2014;7(5):404-12. Estimation Methods

62. Kahn MG, Brown JS, Chun AT, Davidson BN, Meeker D, Ryan PB, Schilling LM, Weiskopf NG, Williams AE, Zozus MN. Transparent reporting of data quality in distributed data networks. EGEMS (Wash DC). 2015;3(1):1052. Epub 2015/05/21. doi: 10.13063/2327-9214.1052. PubMed PMID: 25992385; PubMed Central PMCID: PMCPMC4434997. Data Quality

63. Voss EA, Ryan PB, Stang PE, Hough D, Alphs L. Switching from risperidone long-acting injectable to paliperidone long-acting injectable or oral antipsychotics: analysis of a Medicaid claims database. Int Clin Psychopharmacol. 2015;30(3):151-7. Epub 2015/03/03. doi: 10.1097/yic.0000000000000068. PubMed PMID: 25730525; PubMed Central PMCID: PMCPMC4383368. Estimation Study

64. Ling W. Study on application of data organization and common data model of the observational medical outcomes partnership in US. Chinese Journal of Pharmacovigilance. 2015;12(6):341. ETL (no link)

65. Sun H, Depraetere K, De Roo J, Mels G, De Vloed B, Twagirumukiza M, Colaert D. Semantic processing of EHR data for clinical research. J Biomed Inform. 2015;58:247-59. Epub 2015/10/31. doi: S1532-0464(15)00231-2 [pii] 10.1016/j.jbi.2015.10.009. PubMed PMID: 26515501. Referring to

66. Shahn Z, Ryan P, Madigan D. Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests. Statistical Analysis and Data Mining: the ASA Data Science Journal. 2015;8(2):128-36. Prediction Methods

67. Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, van der Lei J, Pratt N, Noren GN, Li YC, Stang PE, Madigan D, Ryan PB. Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. Stud Health Technol Inform. 2015;216:574-8. Epub 2015/08/12. PubMed PMID: 26262116; PubMed Central PMCID: PMC4815923. Foundation

68. Li Y, Ryan PB, Wei Y, Friedman C. A Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions. Drug Saf. 2015;38(10):895-908. Epub 2015/07/15. doi: 10.1007/s40264-015-0314-8 10.1007/s40264-015-0314-8 [pii]. PubMed PMID: 26153397; PubMed Central PMCID: PMC4579260. Estimation Methods

69. Vilar S, Lorberbaum T, Hripcsak G, Tatonetti NP. Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling. PLoS One. 2015;10(6):e0129974. Epub 2015/06/13. doi: 10.1371/journal.pone.0129974 PONE-D-15-04363 [pii]. PubMed PMID: 26068584; PubMed Central PMCID: PMC4466327. Estimation Methods

70. Voss EA, Ma Q, Ryan PB. The impact of standardizing the definition of visits on the consistency of multi-database observational health research. BMC Med Res Methodol. 2015;15:13. Epub 2015/04/19. doi: 10.1186/s12874-015-0001-6 10.1186/s12874-015-0001-6 [pii]. PubMed PMID: 25887092; PubMed Central PMCID: PMC4369827. Vocabulary

71. Voss EA, Makadia R, Matcho A, Ma Q, Knoll C, Schuemie M, DeFalco FJ, Londhe A, Zhu V, Ryan PB. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases. J Am Med Inform Assoc. 2015;22(3):553-64. Epub 2015/02/12. doi: ocu023 [pii] 10.1093/jamia/ocu023. PubMed PMID: 25670757; PubMed Central PMCID: PMC4457111. Foundation

72. Boland MR, Tatonetti NP, Hripcsak G. Development and validation of a classification approach for extracting severity automatically from electronic health records. J Biomed Semantics. 2015;6:14. Epub 2015/04/08. doi: 10.1186/s13326-015-0010-8 10 [pii]. PubMed PMID: 25848530; PubMed Central PMCID: PMC4386082. Prediction Study

73. FitzHenry F, Resnic FS, Robbins SL, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny ME. Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Appl Clin Inform. 2015;6(3):536-47. Epub 2015/10/09. doi: 10.4338/ACI-2014-12-CR-0121. PubMed PMID: 26448797; PubMed Central PMCID: PMC4586341. ETL

74. Xu Y, Zhou X, Suehs BT, Hartzema AG, Kahn MG, Moride Y, Sauer BC, Liu Q, Moll K, Pasquale MK, Nair VP, Bate A. A Comparative Assessment of Observational Medical Outcomes Partnership and Mini-Sentinel Common Data Models and Analytics: Implications for Active Drug Safety Surveillance. Drug Saf. 2015;38(8):749-65. Epub 2015/06/10. doi: 10.1007/s40264-015-0297-5 [pii]. PubMed PMID: 26055920. Foundation, Active Surveillance

75. Khalilia M, Choi M, Henderson A, Iyengar S, Braunstein M, Sun J. Clinical Predictive Modeling Development and Deployment through FHIR Web Services. AMIA Annu Symp Proc. 2015;2015:717-26. Epub 2015/01/01. PubMed PMID: 26958207; PubMed Central PMCID: PMC4765683. FHIR

76. Boland MR, Shahn Z, Madigan D, Hripcsak G, Tatonetti NP. Birth month affects lifetime disease risk: a phenome-wide method. J Am Med Inform Assoc. 2015;22(5):1042-53. Epub 2015/06/05. doi: ocv046 [pii] 10.1093/jamia/ocv046. PubMed PMID: 26041386; PubMed Central PMCID: PMC4986668. Estimation Study

77. Garbe E, Pigeot I. [Benefits of large healthcare databases for drug risk research] Der Nutzen grosser Gesundheitsdatenbanken fur die Arzneimittelrisikoforschung. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015;58(8):829-37. Epub 2015/06/21. doi: 10.1007/s00103-015-2185-7 [pii]. PubMed PMID: 26092163. Referring to

78. Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. Wiley Interdiscip Rev Syst Biol Med. 2016;8(2):104-22. Epub 2015/11/13. doi: 10.1002/wsbm.1323. PubMed PMID: 26559926; PubMed Central PMCID: PMC4760887. Estimation Methods

79. Weinstein RB, Schuemie MJ, Ryan PB, Stang PE. Seasonality in acute liver injury? Findings in two health care claims databases. Drug Healthc Patient Saf. 2016;8:39-48. Epub 2016/04/22. doi: 10.2147/dhps.S95399. PubMed PMID: 27099532; PubMed Central PMCID: PMCPMC4824282. Characterization Study

80. Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Robust empirical calibration of p-values using observational data. Stat Med. 2016;35(22):3883-8. Epub 2016/09/07. doi: 10.1002/sim.6977. PubMed PMID: 27592566; PubMed Central PMCID: PMC5108459. Estimation Methods

81. Boyce RD, Handler SM, Karp JF, Perera S, Reynolds CF, 3rd. Preparing Nursing Home Data from Multiple Sites for Clinical Research – A Case Study Using Observational Health Data Sciences and Informatics. EGEMS (Wash DC). 2016;4(1):1252. Epub 2016/11/29. doi: 10.13063/2327-9214.1252 egems1252 [pii]. PubMed PMID: 27891528; PubMed Central PMCID: PMC5108634. ETL

82. Huser V, DeFalco FJ, Schuemie M, Ryan PB, Shang N, Velez M, Park RW, Boyce RD, Duke J, Khare R, Utidjian L, Bailey C. Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets. EGEMS (Wash DC). 2016;4(1):1239. Epub 2017/02/06. doi: 10.13063/2327-9214.1239 egems1239 [pii]. PubMed PMID: 28154833; PubMed Central PMCID: PMC5226382. Data Quality

83. Gruber S, Tchetgen Tchetgen E. Limitations of empirical calibration of p-values using observational data. Stat Med. 2016;35(22):3869-82. Epub 2016/03/13. doi: 10.1002/sim.6936. PubMed PMID: 26970249; PubMed Central PMCID: PMC5012943. Estimation Methods

84. Agarwal V, Podchiyska T, Banda JM, Goel V, Leung TI, Minty EP, Sweeney TE, Gyang E, Shah NH. Learning statistical models of phenotypes using noisy labeled training data. Journal of the American Medical Informatics Association. 2016;23(6):1166-73. Phenotyping

85. Samwald M, Xu H, Blagec K, Empey PE, Malone DC, Ahmed SM, Ryan P, Hofer S, Boyce RD. Incidence of Exposure of Patients in the United States to Multiple Drugs for Which Pharmacogenomic Guidelines Are Available. PLoS One. 2016;11(10):e0164972. Epub 2016/10/21. doi: 10.1371/journal.pone.0164972. PubMed PMID: 27764192; PubMed Central PMCID: PMCPMC5072717 adherence to PLOS ONE policies on sharing data and materials. Characterization Study

86. Lambert CG, Mazurie AJ, Lauve NR, Hurwitz NG, Young SS, Obenchain RL, Hengartner NW, Perkins DJ, Tohen M, Kerner B. Hypothyroidism risk compared among nine common bipolar disorder therapies in a large US cohort. Bipolar disorders. 2016;18(3):247-60. Estimation Study

87. Shaddox TR, Ryan PB, Schuemie MJ, Madigan D, Suchard MA. Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare Databases. Stat Anal Data Min. 2016;9(4):260-8. Epub 2017/05/16. doi: 10.1002/sam.11324. PubMed PMID: 28503249; PubMed Central PMCID: PMCPMC5423675. Estimation Methods

88. Kahn MG, Callahan TJ, Barnard J, Bauck AE, Brown J, Davidson BN, Estiri H, Goerg C, Holve E, Johnson SG. A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data. Egems. 2016;4(1). Data Quality

89. Sen A, Chakrabarti S, Goldstein A, Wang S, Ryan PB, Weng C. GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. J Biomed Inform. 2016;63:325-36. Epub 2016/10/25. doi: S1532-0464(16)30115-0 [pii] 10.1016/j.jbi.2016.09.003. PubMed PMID: 27600407; PubMed Central PMCID: PMC5077682. Estimation Methods

90. Kim H, Choi J, Jang I, Quach J, Ohno-Machado L. Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model. AMIA Annu Symp Proc. 2016;2016:715-23. Epub 2017/03/09. PubMed PMID: 28269868; PubMed Central PMCID: PMC5333244. Vocabulary

91. Hauben M, Aronson JK, Ferner RE. Evidence of Misclassification of Drug-Event Associations Classified as Gold Standard ‘Negative Controls’ by the Observational Medical Outcomes Partnership (OMOP). Drug Saf. 2016;39(5):421-32. Epub 2016/02/18. doi: 10.1007/s40264-016-0392-2 [pii]. PubMed PMID: 26879560. Estimation Methods

92. Garza M, Del Fiol G, Tenenbaum J, Walden A, Zozus MN. Evaluating common data models for use with a longitudinal community registry. J Biomed Inform. 2016;64:333-41. Epub 2016/12/19. doi: S1532-0464(16)30153-8 [pii] 10.1016/j.jbi.2016.10.016. PubMed PMID: 27989817; PubMed Central PMCID: PMC6810649. Vocabulary

93. Schuemie MJ, Trifirò G, Coloma PM, Ryan PB, Madigan D. Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case series. Stat Methods Med Res. 2016;25(6):2577-92. Epub 2014/04/02. doi: 10.1177/0962280214527531. PubMed PMID: 24685766. Estimation Methods

94. Gruber S, Chakravarty A, Heckbert SR, Levenson M, Martin D, Nelson JC, Psaty BM, Pinheiro S, Reich CG, Toh S, Walker AM. Design and analysis choices for safety surveillance evaluations need to be tuned to the specifics of the hypothesized drug-outcome association. Pharmacoepidemiol Drug Saf. 2016;25(9):973-81. Epub 2016/07/16. doi: 10.1002/pds.4065. PubMed PMID: 27418432. Estimation Methods

95. Gini R, Schuemie M, Brown J, Ryan P, Vacchi E, Coppola M, Cazzola W, Coloma P, Berni R, Diallo G, Oliveira JL, Avillach P, Trifiro G, Rijnbeek P, Bellentani M, van Der Lei J, Klazinga N, Sturkenboom M. Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies. EGEMS (Wash DC). 2016;4(1):1189. Epub 2016/03/26. doi: 10.13063/2327-9214.1189 egems1189 [pii]. PubMed PMID: 27014709; PubMed Central PMCID: PMC4780748. Referring to

96. Banda JM, Evans L, Vanguri RS, Tatonetti NP, Ryan PB, Shah NH. A curated and standardized adverse drug event resource to accelerate drug safety research. Sci Data. 2016;3:160026. Epub 2016/05/20. doi: 10.1038/sdata.2016.26. PubMed PMID: 27193236; PubMed Central PMCID: PMCPMC4872271. ETL; NLP

97. Yoon D, Ahn EK, Park MY, Cho SY, Ryan P, Schuemie MJ, Shin D, Park H, Park RW. Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research. Healthc Inform Res. 2016;22(1):54-8. Epub 2016/02/20. doi: 10.4258/hir.2016.22.1.54. PubMed PMID: 26893951; PubMed Central PMCID: PMC4756059. ETL, Data Quality

98. Hripcsak G, Ryan PB, Duke JD, Shah NH, Park RW, Huser V, Suchard MA, Schuemie MJ, DeFalco FJ, Perotte A, Banda JM, Reich CG, Schilling LM, Matheny ME, Meeker D, Pratt N, Madigan D. Characterizing treatment pathways at scale using the OHDSI network. Proc Natl Acad Sci U S A. 2016;113(27):7329-36. Epub 2016/06/09. doi: 1510502113 [pii] 10.1073/pnas.1510502113. PubMed PMID: 27274072; PubMed Central PMCID: PMC4941483. Characterization Methods

99. Gini R, Schuemie MJ, Mazzaglia G, Lapi F, Francesconi P, Pasqua A, Bianchini E, Montalbano C, Roberto G, Barletta V, Cricelli I, Cricelli C, Dal Co G, Bellentani M, Sturkenboom M, Klazinga N. Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners’ electronic medical records: a validation study. BMJ open. 2016;6(12):e012413. Epub 2016/12/13. doi: bmjopen-2016-012413 [pii] 10.1136/bmjopen-2016-012413. PubMed PMID: 27940627; PubMed Central PMCID: PMC5168667. Referring to

100. Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R. Toward multimodal signal detection of adverse drug reactions. Journal of biomedical informatics. 2017;76:41-9. Active Surveillance

101. Park RW. Sharing clinical big data while protecting confidentiality and security: observational health data sciences and informatics. Healthcare informatics research. 2017;23(1):1-3. ETL

102. Reisinger S, McDonald L, Carroll R, O’Hara D, Anstatt D, Ramagopalan S. A Robust, Reproducible Method For Evaluating The Suitability of Disparate Observational Databases for Pooled Analysis, Using The Omop Common Data Model. Value in Health. 2017;20(9):A776. Characterization Methods

103. Yuan Z, Voss EA, DeFalco FJ, Pan G, Ryan PB, Yannicelli D, Nessel C. Risk Prediction for Ischemic Stroke and Transient Ischemic Attack in Patients Without Atrial Fibrillation: A Retrospective Cohort Study. J Stroke Cerebrovasc Dis. 2017;26(8):1721-31. Epub 2017/04/11. doi: 10.1016/j.jstrokecerebrovasdis.2017.03.036. PubMed PMID: 28392100. Prediction Study

104. Duke JD, Ryan PB, Suchard MA, Hripcsak G, Jin P, Reich C, Schwalm MS, Khoma Y, Wu Y, Xu H, Shah NH, Banda JM, Schuemie MJ. Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network. Epilepsia. 2017;58(8):e101-e6. Epub 2017/07/07. doi: 10.1111/epi.13828. PubMed PMID: 28681416; PubMed Central PMCID: PMC6632067. Estimation Study

105. Rosenbloom ST, Carroll RJ, Warner JL, Matheny ME, Denny JC. Representing Knowledge Consistently Across Health Systems. Yearb Med Inform. 2017;26(1):139-47. Epub 2017/10/25. doi: 10.15265/IY-2017-018. PubMed PMID: 29063555; PubMed Central PMCID: PMC6239235. Referring to

106. Callahan T, Barnard J, Helmkamp L, Maertens J, Kahn M. Reporting data quality assessment results: identifying individual and organizational barriers and solutions. Egems. 2017;5(1). Data Quality

107. Ceusters W, Blaisure J. A Realism-Based View on Counts in OMOP’s Common Data Model. Stud Health Technol Inform. 2017;237:55-62. Epub 2017/05/10. PubMed PMID: 28479543. Data Quality

108. Moskovitch R, Polubriaginof F, Weiss A, Ryan P, Tatonetti N. Procedure prediction from symbolic Electronic Health Records via time intervals analytics. J Biomed Inform. 2017;75:70-82. Epub 2017/08/22. doi: S1532-0464(17)30178-8 [pii] 10.1016/j.jbi.2017.07.018. PubMed PMID: 28823923. Prediction Methods

109. Si Y, Weng C. An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria. Stud Health Technol Inform. 2017;245:950-4. Epub 2018/01/04. PubMed PMID: 29295240; PubMed Central PMCID: PMC5893219. NLP, Trial

110. Gini R, Schuemie MJ, Pasqua A, Carlini E, Profili F, Cricelli I, Dazzi P, Barletta V, Francesconi P, Lapi F, Donatini A, Dal Co G, Visca M, Bellentani M, Sturkenboom M, Klazinga N. Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations. PLoS One. 2017;12(12):e0188377. Epub 2017/12/13. doi: 10.1371/journal.pone.0188377 PONE-D-16-51291 [pii]. PubMed PMID: 29232365; PubMed Central PMCID: PMC5726627. Estimation Study

111. Dixon BE, Duke J, Grannis S. Measuring and Improving the Quality of Data Used for Syndromic Surveillance. Online Journal of Public Health Informatics. 2017;9 (1). Data Quality

112. Khare R, Utidjian L, Ruth BJ, Kahn MG, Burrows E, Marsolo K, Patibandla N, Razzaghi H, Colvin R, Ranade D. A longitudinal analysis of data quality in a large pediatric data research network. Journal of the American Medical Informatics Association. 2017;24(6):1072-9. Data Quality

113. Knowledge Base workgroup of the Observational Health Data S, Informatics c. Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. J Biomed Semantics. 2017;8(1):11. Epub 2017/03/09. doi: 10.1186/s13326-017-0115-3 [pii]. PubMed PMID: 28270198; PubMed Central PMCID: PMC5341176. Estimation Methods

114. Chakrabarti S, Sen A, Huser V, Hruby GW, Rusanov A, Albers DJ, Weng C. An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0. J Healthc Inform Res. 2017;1(1):1-18. Epub 2017/08/05. doi: 10.1007/s41666-017-0005-6. PubMed PMID: 28776047; PubMed Central PMCID: PMC5536903. Phenotyping

115. Wang Y, Desai M, Ryan PB, DeFalco FJ, Schuemie MJ, Stang PE, Berlin JA, Yuan Z. Incidence of diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors and other antihyperglycemic agents. Diabetes Res Clin Pract. 2017;128:83-90. Epub 2017/04/28. doi: 10.1016/j.diabres.2017.04.004. PubMed PMID: 28448895. Estimation Study

116. Kang T, Zhang S, Tang Y, Hruby GW, Rusanov A, Elhadad N, Weng C. EliIE: An open-source information extraction system for clinical trial eligibility criteria. J Am Med Inform Assoc. 2017;24(6):1062-71. Epub 2017/04/06. doi: 3098256 [pii] 10.1093/jamia/ocx019. PubMed PMID: 28379377; PubMed Central PMCID: PMC6259668. Trial

117. Banda JM, Halpern Y, Sontag D, Shah NH. Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. AMIA Jt Summits Transl Sci Proc. 2017;2017:48-57. Epub 2017/08/18. PubMed PMID: 28815104; PubMed Central PMCID: PMC5543379. Phenotyping

118. Ong TC, Kahn MG, Kwan BM, Yamashita T, Brandt E, Hosokawa P, Uhrich C, Schilling LM. Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading. BMC Med Inform Decis Mak. 2017;17(1):134. Epub 2017/09/15. doi: 10.1186/s12911-017-0532-3 [pii]. PubMed PMID: 28903729; PubMed Central PMCID: PMC5598056. ETL

119. You SC, Lee S, Cho SY, Park H, Jung S, Cho J, Yoon D, Park RW. Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). Stud Health Technol Inform. 2017;245:467-70. Epub 2018/01/04. PubMed PMID: 29295138. ETL

120. Schwalm M, Raoul T, Chu D, Shah U, Potdar M, Van Zandt M, Coffin G, Jouaville S. Conversion of a French Electronic Medical Record (Emr) Database into the Observational Medical Outcomes Partnership Common Data Model. Value in Health. 2017;20(9):A741. ETL

121. Jiang G, Kiefer RC, Sharma DK, Prud’hommeaux E, Solbrig HR. A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR. Stud Health Technol Inform. 2017;245:887-91. Epub 2018/01/04. PubMed PMID: 29295227; PubMed Central PMCID: PMC5939955. FHIR

122. Callahan TJ, Bauck AE, Bertoch D, Brown J, Khare R, Ryan PB, Staab J, Zozus MN, Kahn MG. A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks. EGEMS (Wash DC). 2017;5(1):8. Epub 2018/06/09. doi: 10.5334/egems.223. PubMed PMID: 29881733; PubMed Central PMCID: PMCPMC5982846. Data Quality

123. Weinstein RB, Ryan P, Berlin JA, Matcho A, Schuemie M, Swerdel J, Patel K, Fife D. Channeling in the Use of Nonprescription Paracetamol and Ibuprofen in an Electronic Medical Records Database: Evidence and Implications. Drug Saf. 2017;40(12):1279-92. Epub 2017/08/07. doi: 10.1007/s40264-017-0581-7. PubMed PMID: 28780741; PubMed Central PMCID: PMCPMC5688206. Estimation Methods

124. Jiang G, Kiefer R, Prud’hommeaux E, Solbrig HR. Building Interoperable FHIR-Based Vocabulary Mapping Services: A Case Study of OHDSI Vocabularies and Mappings. Stud Health Technol Inform. 2017;245:1327. Epub 2018/01/04. PubMed PMID: 29295408; PubMed Central PMCID: PMC5939959. FHIR

125. Ryan PB, Schuemie MJ, Ramcharran D, Stang PE. Atypical Antipsychotics and the Risks of Acute Kidney Injury and Related Outcomes Among Older Adults: A Replication Analysis and an Evaluation of Adapted Confounding Control Strategies. Drugs Aging. 2017;34(3):211-9. Epub 2017/01/27. doi: 10.1007/s40266-016-0430-x. PubMed PMID: 28124262. Estimation Study

126. Ramcharran D, Qiu H, Schuemie MJ, Ryan PB. Atypical Antipsychotics and the Risk of Falls and Fractures Among Older Adults: An Emulation Analysis and an Evaluation of Additional Confounding Control Strategies. J Clin Psychopharmacol. 2017;37(2):162-8. Epub 2017/02/23. doi: 10.1097/jcp.0000000000000647. PubMed PMID: 28225746. Estimation Study

127. Voss EA, Boyce RD, Ryan PB, van der Lei J, Rijnbeek PR, Schuemie MJ. Accuracy of an automated knowledge base for identifying drug adverse reactions. J Biomed Inform. 2017;66:72-81. Epub 2016/12/21. doi: S1532-0464(16)30179-4 [pii] 10.1016 j.jbi.2016.12.005. PubMed PMID: 27993747; PubMed Central PMCID: PMC5316295. Estimation Methods

128. Klann JG, Phillips LC, Herrick C, Joss MAH, Wagholikar KB, Murphy SN. Web services for data warehouses: OMOP and PCORnet on i2b2. J Am Med Inform Assoc. 2018;25(10):1331-8. Epub 2018/08/08. doi: 5061849 [pii] 10.1093/jamia/ocy093. PubMed PMID: 30085008; PubMed Central PMCID: PMC6188504. ETL

129. Boland MR, Parhi P, Li L, Miotto R, Carroll R, Iqbal U, Nguyen PA, Schuemie M, You SC, Smith D, Mooney S, Ryan P, Li YJ, Park RW, Denny J, Dudley JT, Hripcsak G, Gentine P, Tatonetti NP. Uncovering exposures responsible for birth season – disease effects: a global study. J Am Med Inform Assoc. 2018;25(3):275-88. Epub 2017/10/17. doi: 10.1093/jamia/ocx105. PubMed PMID: 29036387; PubMed Central PMCID: PMCPMC7282503. Characterization Study

130. Maier C, Lang L, Storf H, Vormstein P, Bieber R, Bernarding J, Herrmann T, Haverkamp C, Horki P, Laufer J, Berger F, Honing G, Fritsch HW, Schuttler J, Ganslandt T, Prokosch HU, Sedlmayr M. Towards Implementation of OMOP in a German University Hospital Consortium. Appl Clin Inform. 2018;9(1):54-61. Epub 2018/01/25. doi: 10.1055/s-0037-1617452. PubMed PMID: 29365340; PubMed Central PMCID: PMC5801887. ETL

131. Pacaci A, Gonul S, Sinaci AA, Yuksel M, Laleci Erturkmen GB. A Semantic Transformation Methodology for the Secondary Use of Observational Healthcare Data in Postmarketing Safety Studies. Front Pharmacol. 2018;9:435. Epub 2018/05/16. doi: 10.3389/fphar.2018.00435. PubMed PMID: 29760661; PubMed Central PMCID: PMC5937227. ETL

132. Yuan Z, DeFalco FJ, Ryan PB, Schuemie MJ, Stang PE, Berlin JA, Desai M, Rosenthal N. Risk of lower extremity amputations in people with type 2 diabetes mellitus treated with sodium-glucose co-transporter-2 inhibitors in the USA: A retrospective cohort study. Diabetes Obes Metab. 2018;20(3):582-9. Epub 2017/09/13. doi: 10.1111/dom.13115. PubMed PMID: 28898514; PubMed Central PMCID: PMCPMC5836890. Estimation Study

133. Hong N, Zhang N, Wu H, Lu S, Yu Y, Hou L, Lu Y, Liu H, Jiang G. Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma. BMC Med Inform Decis Mak. 2018;18(Suppl 5):116. Epub 2018/12/12. doi: 10.1186/s12911-018-0686-7 [pii]. PubMed PMID: 30526572; PubMed Central PMCID: PMC6284277. Estimation Study

134. Kubota K, Kamijima Y, Kao Yang YH, Kimura S, Chia-Cheng Lai E, Man KKC, Ryan P, Schuemie M, Stang P, Su CC, Wong ICK, Zhang Y, Setoguchi S. Penetration of new antidiabetic medications in East Asian countries and the United States: A cross-national comparative study. PLoS One. 2018;13(12):e0208796. Epub 2018/12/13. doi: 10.1371/journal.pone.0208796. PubMed PMID: 30540837; PubMed Central PMCID: PMCPMC6291148. Characterization Study

135. Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Honing G, Neumaier M, Marquardt K, Renz H, Rothkotter HJ, Schade-Brittinger C, Schmucker P, Schuttler J, Sedlmayr M, Serve H, Sohrabi K, Storf H. MIRACUM: Medical Informatics in Research and Care in University Medicine. Methods Inf Med. 2018;57(S 01):e82-e91. Epub 2018/07/18. doi: 10.3414/ME17-02-0025. PubMed PMID: 30016814; PubMed Central PMCID: PMC6178200. Referring to

136. Huser V, Kahn MG, Brown JS, Gouripeddi R. Methods for examining data quality in healthcare integrated data repositories. Pac Symp Biocomput. 2018;23:628-33. Epub 2017/12/09. doi: 9789813235533_0059 [pii]. PubMed PMID: 29218922. Data Quality

137. Levine ME, Albers DJ, Hripcsak G. Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J Biomed Inform. 2018;86:149-59. Epub 2018/09/03. doi: S1532-0464(18)30173-4 [pii] 10.1016/j.jbi.2018.08.014. PubMed PMID: 30172760; PubMed Central PMCID: PMC6207533. Estimation Methods

138. Mower J, Subramanian D, Cohen T. Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications. J Am Med Inform Assoc. 2018;25(10):1339-50. Epub 2018/07/17. doi: 5052182 [pii] 10.1093/jamia/ocy077. PubMed PMID: 30010902; PubMed Central PMCID: PMC6454491. Prediction Methods

139. Matcho A, Ryan P, Fife D, Gifkins D, Knoll C, Friedman A. Inferring pregnancy episodes and outcomes within a network of observational databases. PLoS One. 2018;13(2):e0192033. Epub 2018/02/02. doi: 10.1371/journal.pone.0192033. PubMed PMID: 29389968; PubMed Central PMCID: PMCPMC5794136. Phenotyping

140. Schuemie MJ, Ryan PB, Hripcsak G, Madigan D, Suchard MA. Improving reproducibility by using high-throughput observational studies with empirical calibration. Philos Trans A Math Phys Eng Sci. 2018;376(2128). Epub 2018/08/08. doi: rsta.2017.0356 [pii] 10.1098/rsta.2017.0356. PubMed PMID: 30082302; PubMed Central PMCID: PMC6107542. Foundation

141. Seneviratne MG, Banda JM, Brooks JD, Shah NH, Hernandez-Boussard TM. Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records. AMIA Annu Symp Proc. 2018;2018:1498-504. Epub 2019/03/01. PubMed PMID: 30815195; PubMed Central PMCID: PMC6371284. Prediction Study

142. Hripcsak G, Albers DJ. High-fidelity phenotyping: richness and freedom from bias. Journal of the American Medical Informatics Association. 2018;25(3):289-94. Phenotyping

143. Cepeda MS, Reps J, Ryan P. Finding factors that predict treatment-resistant depression: Results of a cohort study. Depress Anxiety. 2018;35(7):668-73. Epub 2018/05/23. doi: 10.1002/da.22774. PubMed PMID: 29786922; PubMed Central PMCID: PMCPMC6055726. Prediction Study

144. Cho S, Mohan S, Husain SA, Natarajan K. Expanding transplant outcomes research opportunities through the use of a common data model. American Journal of Transplantation. 2018;18(6):1321-7. ETL

145. Yang Y, Zhou X, Gao S, Lin H, Xie Y, Feng Y, Huang K, Zhan S. Evaluation of Electronic Healthcare Databases for Post-Marketing Drug Safety Surveillance and Pharmacoepidemiology in China. Drug Saf. 2018;41(1):125-37. Epub 2017/08/18. doi: 10.1007/s40264-017-0589-z 10.1007/s40264-017-0589-z [pii]. PubMed PMID: 28815480. Vocabulary

146. Tian Y, Schuemie MJ, Suchard MA. Evaluating large-scale propensity score performance through real-world and synthetic data experiments. International journal of epidemiology. 2018;47(6):2005-14. Estimation Methods

147. Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data. Proc Natl Acad Sci U S A. 2018;115(11):2571-7. Epub 2018/03/14. doi: 1708282114 [pii] 10.1073/pnas.1708282114. PubMed PMID: 29531023; PubMed Central PMCID: PMC5856503. Estimation Methods

148. Hripcsak G, Levine ME, Shang N, Ryan PB. Effect of vocabulary mapping for conditions on phenotype cohorts. J Am Med Inform Assoc. 2018;25(12):1618-25. Epub 2018/11/06. doi: 5159502 [pii] 10.1093/jamia/ocy124. PubMed PMID: 30395248; PubMed Central PMCID: PMC6289550. Phenotyping

149. Polubriaginof FCG, Vanguri R, Quinnies K, Belbin GM, Yahi A, Salmasian H, Lorberbaum T, Nwankwo V, Li L, Shervey MM, Glowe P, Ionita-Laza I, Simmerling M, Hripcsak G, Bakken S, Goldstein D, Kiryluk K, Kenny EE, Dudley J, Vawdrey DK, Tatonetti NP. Disease Heritability Inferred from Familial Relationships Reported in Medical Records. Cell. 2018;173(7):1692-704 e11. Epub 2018/05/22. doi: S0092-8674(18)30525-7 [pii] 10.1016/j.cell.2018.04.032. PubMed PMID: 29779949; PubMed Central PMCID: PMC6015747. Characterization Study, Phenotyping

150. Reps J, Hsiao C, Johnston S. Development and Validation of a Model to Predict Cessation of Antihyperglycemic Medication after Laparoscopic Bariatric Surgery Among Patients with Type 2 Diabetes. Value in Health. 2018;21:S249-S50. Prediction Study

151. Reps JM, Schuemie MJ, Suchard MA, Ryan PB, Rijnbeek PR. Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data. J Am Med Inform Assoc. 2018;25(8):969-75. Epub 2018/05/03. doi: 10.1093/jamia/ocy032. PubMed PMID: 29718407; PubMed Central PMCID: PMCPMC6077830. Foundation; Prediction Methods; Prediction Study

152. Sun YX, Pei ZC, Zhan SY. [Data harmonization and sharing in study cohorts of respiratory diseases]. Zhonghua Liu Xing Bing Xue Za Zhi. 2018;39(2):233-9. Epub 2018/03/02. doi: 10.3760 cma.j.issn.0254-6450.2018.02.019. PubMed PMID: 29495212. Vocabulary

153. Butler A, Wei W, Yuan C, Kang T, Si Y, Weng C. The Data Gap in the EHR for Clinical Research Eligibility Screening. AMIA Jt Summits Transl Sci Proc. 2018;2017:320-9. Epub 2018/06/12. PubMed PMID: 29888090; PubMed Central PMCID: PMC5961795. NLP, Vocabulary

154. Nestsiarovich A, Mazurie AJ, Hurwitz NG, Kerner B, Nelson SJ, Crisanti AS, Tohen M, Krall RL, Perkins DJ, Lambert CG. Comprehensive comparison of monotherapies for psychiatric hospitalization risk in bipolar disorders. Bipolar disorders. 2018;20(8):761-71. Estimation Study

155. Ryan PB, Buse JB, Schuemie MJ, DeFalco F, Yuan Z, Stang PE, Berlin JA, Rosenthal N. Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non-SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real-world meta-analysis of 4 observational databases (OBSERVE-4D). Diabetes Obes Metab. 2018;20(11):2585-97. Epub 2018/06/26. doi: 10.1111/dom.13424. PubMed PMID: 29938883; PubMed Central PMCID: PMCPMC6220807. Estimation Study

156. Liyanage H, Liaw ST, Jonnagaddala J, Hinton W, de Lusignan S. Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. Stud Health Technol Inform. 2018;255:60-4. Epub 2018/10/12. PubMed PMID: 30306907. Referring to

157. Ta CN, Dumontier M, Hripcsak G, Tatonetti NP, Weng C. Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records. Sci Data. 2018;5:180273. Epub 2018/11/28. doi: sdata2018273 [pii] 10.1038/sdata.2018.273. PubMed PMID: 30480666; PubMed Central PMCID: PMC6257042. ETL

158. Rinner C, Gezgin D, Wendl C, Gall W. A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data. Stud Health Technol Inform. 2018;248:94-9. Epub 2018/05/05. PubMed PMID: 29726424. ETL

159. Elkin PL, Mullin S, Sakilay S. Biomedical Informatics Investigator. Stud Health Technol Inform. 2018;255:195-9. Epub 2018/10/12. PubMed PMID: 30306935; PubMed Central PMCID: PMC7847179. Vocabulary

160. Vashisht R, Jung K, Schuler A, Banda JM, Park RW, Jin S, Li L, Dudley JT, Johnson KW, Shervey MM, Xu H, Wu Y, Natrajan K, Hripcsak G, Jin P, Van Zandt M, Reckard A, Reich CG, Weaver J, Schuemie MJ, Ryan PB, Callahan A, Shah NH. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative. JAMA Netw Open. 2018;1(4):e181755. Epub 2019/01/16. doi: 2698083 [pii] 10.1001/jamanetworkopen.2018.1755. PubMed PMID: 30646124; PubMed Central PMCID: PMC6324274. Estimation Study

161. Lai EC, Ryan P, Zhang Y, Schuemie M, Hardy NC, Kamijima Y, Kimura S, Kubota K, Man KK, Cho SY, Park RW, Stang P, Su CC, Wong IC, Kao YY, Setoguchi S. Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges. Clin Epidemiol. 2018;10:875-85. Epub 2018/08/14. doi: 10.2147/clep.S149961. PubMed PMID: 30100761; PubMed Central PMCID: PMCPMC6067778. ETL; Data Quality

162. Zhang X, Wang L, Miao S, Xu H, Yin Y, Zhu Y, Dai Z, Shan T, Jing S, Wang J, Zhang X, Huang Z, Wang Z, Guo J, Liu Y. Analysis of treatment pathways for three chronic diseases using OMOP CDM. J Med Syst. 2018;42(12):260. Epub 2018/11/14. doi: 10.1007/s10916-018-1076-5 [pii]. PubMed PMID: 30421323; PubMed Central PMCID: PMC6244882. Characterization Study

163. Dixon BE, Wen C, French T, Williams J, Grannis SJ. Advanced Visualization and Analysis of Data Quality for Syndromic Surveillance Systems. Online Journal of Public Health Informatics. 2018;10(1). Data Quality

164. Johnston SS, Morton JM, Kalsekar I, Ammann EM, Hsiao C-W, Reps J. Using machine learning applied to real-world healthcare data for predictive analytics: an applied example in bariatric surgery. Value in Health. 2019;22(5):580-6. Prediction Study

165. Lima DM, Rodrigues-Jr JF, Traina AJM, Pires FA, Gutierrez MA. Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. Stud Health Technol Inform. 2019;264:233-7. Epub 2019/08/24. doi: SHTI190218 [pii] 10.3233/SHTI190218. PubMed PMID: 31437920. ETL

166. Reps JM, Rijnbeek PR, Ryan PB. Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status. J Biomed Inform. 2019;97:103264. Epub 2019/08/07. doi: S1532-0464(19)30183-2 [pii] 10.1016/j.jbi.2019.103264. PubMed PMID: 31386904. Phenotyping, Prediction Study

167. Haberson A, Rinner C, Gall W. Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study. Stud Health Technol Inform. 2019;258:151-2. Epub 2019/04/04. PubMed PMID: 30942734. ETL

168. Belenkaya R, Gurley M, Dymshyts D, Araujo S, Williams A, Chen R, Reich C. Standardized Observational Cancer Research Using the OMOP CDM Oncology Module. Stud Health Technol Inform. 2019;264:1831-2. Epub 2019/08/24. doi: SHTI190670 [pii] 10.3233/SHTI190670. PubMed PMID: 31438365. ETL, Vocabulary

169. Glicksberg BS, Oskotsky B, Giangreco N, Thangaraj PM, Rudrapatna V, Datta D, Frazier R, Lee N, Larsen R, Tatonetti NP, Butte AJ. ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. JAMIA open. 2019;2(1):10-4. Epub 2019/10/22. doi: 10.1093/jamiaopen/ooy059. PubMed PMID: 31633087; PubMed Central PMCID: PMC6800657. Methods Other

170. Ross EG, Jung K, Dudley JT, Li L, Leeper NJ, Shah NH. Predicting future cardiovascular events in patients with peripheral artery disease using electronic health record data. Circulation: Cardiovascular Quality and Outcomes. 2019;12(3):e004741. Prediction Study

171. Schuemie MJ, Ryan PB, Man KKC, Wong ICK, Suchard MA, Hripcsak G. A plea to stop using the case-control design in retrospective database studies. Stat Med. 2019;38(22):4199-208. Epub 2019/08/23. doi: 10.1002/sim.8215. PubMed PMID: 31436848; PubMed Central PMCID: PMCPMC6771795. Estimation Methods, Position

172. Swerdel JN, Hripcsak G, Ryan PB. PheValuator: Development and evaluation of a phenotype algorithm evaluator. J Biomed Inform. 2019;97:103258. Epub 2019/08/02. doi: S1532-0464(19)30177-7 [pii] 10.1016/j.jbi.2019.103258. PubMed PMID: 31369862; PubMed Central PMCID: PMC7736922. Phenotyping

173. Glicksberg BS, Oskotsky B, Thangaraj PM, Giangreco N, Badgeley MA, Johnson KW, Datta D, Rudrapatna VA, Rappoport N, Shervey MM, Miotto R, Goldstein TC, Rutenberg E, Frazier R, Lee N, Israni S, Larsen R, Percha B, Li L, Dudley JT, Tatonetti NP, Butte AJ. PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinformatics. 2019;35(21):4515-8. Epub 2019/06/20. doi: 5520433 [pii] 10.1093/bioinformatics/btz409. PubMed PMID: 31214700; PubMed Central PMCID: PMC6821222. Phenotyping

174. Kwong M, Gardner HL, Dieterle N, Rentko V. Optimization of Electronic Medical Records for Data Mining Using a Common Data Model. Top Companion Anim Med. 2019;37:100364. Epub 2019/12/16. doi: S1938-9736(19)30101-1 [pii] 10.1016/j.tcam.2019.100364. PubMed PMID: 31837755; PubMed Central PMCID: PMC7874511. ETL

175. Burn E, Weaver J, Morales D, Prats-Uribe A, Delmestri A, Strauss VY, He Y, Robinson DE, Pinedo-Villanueva R, Kolovos S, Duarte-Salles T, Sproviero W, Yu D, Van Speybroeck M, Williams R, John LH, Hughes N, Sena AG, Costello R, Birlie B, Culliford D, O’Leary C, Morgan H, Burkard T, Prieto-Alhambra D, Ryan P. Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study. The Lancet Rheumatology. 2019;1(4):e229-e36. doi: S2665-9913(19)30075-X. Estimation Study

176. Kapsner LA, Kampf MO, Seuchter SA, Kamdje-Wabo G, Gradinger T, Ganslandt T, Mate S, Gruendner J, Kraska D, Prokosch H-U. Moving towards an EHR data quality framework: the MIRACUM approach. German Medical Data Sciences: Shaping Change–Creative Solutions for Innovative Medicine: IOS Press; 2019. p. 247-53. Data Quality

177. Shang N, Liu C, Rasmussen LV, Ta CN, Caroll RJ, Benoit B, Lingren T, Dikilitas O, Mentch FD, Carrell DS, Wei WQ, Luo Y, Gainer VS, Kullo IJ, Pacheco JA, Hakonarson H, Walunas TL, Denny JC, Wiley K, Murphy SN, Hripcsak G, Weng C. Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. J Biomed Inform. 2019;99:103293. Epub 2019/09/23. doi: S1532-0464(19)30212-6 [pii]10.1016/j.jbi.2019.103293. PubMed PMID: 31542521; PubMed Central PMCID: PMC6894517. Phenotyping

178. Weeks J, Pardee R. Learning to Share Health Care Data: A Brief Timeline of Influential Common Data Models and Distributed Health Data Networks in U.S. Health Care Research. EGEMS (Wash DC). 2019;7(1):4. Epub 2019/04/03. doi: 10.5334/egems.279. PubMed PMID: 30937326; PubMed Central PMCID: PMC6437693. Referring to

179. Gruendner J, Schwachhofer T, Sippl P, Wolf N, Erpenbeck M, Gulden C, Kapsner LA, Zierk J, Mate S, Sturzl M, Croner R, Prokosch HU, Toddenroth D. KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLoS One. 2019;14(10):e0223010. Epub 2019/10/04. doi: 10.1371/journal.pone.0223010 PONE-D-19-12555 [pii]. PubMed PMID: 31581246; PubMed Central PMCID: PMC6776354. Prediction Methods, FHIR

180. Chandran U, Reps J, Stang PE, Ryan PB. Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases. PLoS One. 2019;14(12):e0226255. Epub 2019/12/19. doi: 10.1371/journal.pone.0226255. PubMed PMID: 31851711; PubMed Central PMCID: PMCPMC6919633. Prediction Study

181. Lynch KE, Deppen SA, DuVall SL, Viernes B, Cao A, Park D, Hanchrow E, Hewa K, Greaves P, Matheny ME. Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach. Appl Clin Inform. 2019;10(5):794-803. Epub 2019/10/24. doi: 10.1055/s-0039-1697598. PubMed PMID: 31645076; PubMed Central PMCID: PMC6811349. Data Quality

182. Reps JM, Rijnbeek PR, Ryan PB. Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data. Drug Saf. 2019;42(11):1377-86. Epub 2019/05/06. doi: 10.1007/s40264-019-00827-0 10.1007/s40264-019-00827-0 [pii]. PubMed PMID: 31054141; PubMed Central PMCID: PMC6834730. Prediction Study

183. Warner JL, Dymshyts D, Reich CG, Gurley MJ, Hochheiser H, Moldwin ZH, Belenkaya R, Williams AE, Yang PC. HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model. J Biomed Inform. 2019;96:103239. Epub 2019/06/27. doi: S1532-0464(19)30158-3 [pii] 10.1016/j.jbi.2019.103239. PubMed PMID: 31238109; PubMed Central PMCID: PMC6697579. Vocabulary

184. Shin SJ, You SC, Park YR, Roh J, Kim JH, Haam S, Reich CG, Blacketer C, Son DS, Oh S, Park RW. Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study. J Med Internet Res. 2019;21(3):e13249. Epub 2019/03/27. doi: v21i3e13249 [pii] 10.2196/13249. PubMed PMID: 30912749; PubMed Central PMCID: PMC6454347. Vocabulary

185. Shin SJ, You SC, Roh J, Park YR, Park RW. Genomic Common Data Model for Biomedical Data in Clinical Practice. Stud Health Technol Inform. 2019;264:1843-4. Epub 2019/08/24. doi: SHTI190676 [pii] 10.3233/SHTI190676. PubMed PMID: 31438371. Vocabulary

186. Banda JM. Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data. Genomics Inform. 2019;17(2):e13. Epub 2019/07/16. doi: GI.2019.17.2.e13 [pii] 10.5808/GI.2019.17.2.e13. PubMed PMID: 31307128; PubMed Central PMCID: PMC6808628. Vocabulary

187. Banda JM, Sarraju A, Abbasi F, Parizo J, Pariani M, Ison H, Briskin E, Wand H, Dubois S, Jung K. Finding missed cases of familial hypercholesterolemia in health systems using machine learning. NPJ digital medicine. 2019;2(1):1-8. Phenotyping

188. Bartlett VL, Dhruva SS, Shah ND, Ryan P, Ross JS. Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence. JAMA Netw Open. 2019;2(10):e1912869. Epub 2019/10/10. doi: 2752575 [pii] 10.1001/jamanetworkopen.2019.12869. PubMed PMID: 31596493; PubMed Central PMCID: PMC6802419. Estimation Methods

189. Haberson A, Rinner C, Schoberl A, Gall W. Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model. J Med Syst. 2019;43(10):314. Epub 2019/09/09. doi: 10.1007/s10916-019-1436-9 10.1007/s10916-019-1436-9 [pii]. PubMed PMID: 31494719; PubMed Central PMCID: PMC6732152. ETL

190. Hripcsak G, Shang N, Peissig PL, Rasmussen LV, Liu C, Benoit B, Carroll RJ, Carrell DS, Denny JC, Dikilitas O, Gainer VS, Howell KM, Klann JG, Kullo IJ, Lingren T, Mentch FD, Murphy SN, Natarajan K, Pacheco JA, Wei WQ, Wiley K, Weng C. Facilitating phenotype transfer using a common data model. J Biomed Inform. 2019;96:103253. Epub 2019/07/22. doi: S1532-0464(19)30172-8 [pii] 10.1016/j.jbi.2019.103253. PubMed PMID: 31325501; PubMed Central PMCID: PMC6697565. Phenotyping

191. Wang L, Voss EA, Weaver J, Hester L, Yuan Z, DeFalco F, Schuemie MJ, Ryan PB, Sun D, Freedman A, Alba M, Lind J, Meininger G, Berlin JA, Rosenthal N. Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co-transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases. Pharmacoepidemiol Drug Saf. 2019;28(12):1620-8. Epub 2019/08/29. doi: 10.1002/pds.4887. PubMed PMID: 31456304; PubMed Central PMCID: PMCPMC6916409. Estimation Study

192. Sharma H, Mao C, Zhang Y, Vatani H, Yao L, Zhong Y, Rasmussen L, Jiang G, Pathak J, Luo Y. Developing a portable natural language processing based phenotyping system. BMC Med Inform Decis Mak. 2019;19(Suppl 3):78. Epub 2019/04/05. doi: 10.1186/s12911-019-0786-z 10.1186/s12911-019-0786-z [pii]. PubMed PMID: 30943974; PubMed Central PMCID: PMC6448187. NLP, Phenotyping

193. Ta CN, Weng C. Detecting systemic data quality issues in electronic health records. Studies in health technology and informatics. 2019;264:383. Data Quality

194. Klann JG, Joss MAH, Embree K, Murphy SN. Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model. PLoS One. 2019;14(2):e0212463. Epub 2019/02/20. doi: 10.1371/journal.pone.0212463 PONE-D-18-34751 [pii]. PubMed PMID: 30779778; PubMed Central PMCID: PMC6380544. ETL

195. Rogers JR, Callahan TJ, Kang T, Bauck A, Khare R, Brown JS, Kahn MG, Weng C. A Data Element-Function Conceptual Model for Data Quality Checks. EGEMS (Wash DC). 2019;7(1):17. Epub 2019/05/09. doi: 10.5334/egems.289. PubMed PMID: 31065558; PubMed Central PMCID: PMC6484368. Data Quality

196. Yuan C, Ryan PB, Ta C, Guo Y, Li Z, Hardin J, Makadia R, Jin P, Shang N, Kang T, Weng C. Criteria2Query: a natural language interface to clinical databases for cohort definition. J Am Med Inform Assoc. 2019;26(4):294-305. Epub 2019/02/13. doi: 5308980 [pii] 10.1093/jamia/ocy178. PubMed PMID: 30753493; PubMed Central PMCID: PMC6402359. Methods Other

197. Rasmussen LV, Brandt PS, Jiang G, Kiefer RC, Pacheco JA, Adekkanattu P, Ancker JS, Wang F, Xu Z, Pathak J, Luo Y. Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA Annu Symp Proc. 2019;2019:755-64. Epub 2020/04/21. PubMed PMID: 32308871; PubMed Central PMCID: PMC7153055. Phenotyping

198. Suchard MA, Schuemie MJ, Krumholz HM, You SC, Chen R, Pratt N, Reich CG, Duke J, Madigan D, Hripcsak G, Ryan PB. Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis. Lancet. 2019;394(10211):1816-26. Epub 2019/11/02. doi: 10.1016/s0140-6736(19)32317-7. PubMed PMID: 31668726; PubMed Central PMCID: PMCPMC6924620. Estimation Study

199. Guo GN, Jonnagaddala J, Farshid S, Huser V, Reich C, Liaw ST. Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings. J Am Med Inform Assoc. 2019;26(11):1237-46. Epub 2019/09/24. doi: 5572827 [pii] 10.1093/jamia/ocz143. PubMed PMID: 31545380; PubMed Central PMCID: PMC7647230. ETL

200. Schuemie MJ, Madigan D, Ryan PB, Reich C, Suchard MA, Berlin JA, Hripcsak G. Comment on “How pharmacoepidemiology networks can manage distributed analyses to improve replicability and transparency and minimize bias”. Pharmacoepidemiol Drug Saf. 2019;28(7):1032-3. Epub 2019/05/09. doi: 10.1002/pds.4798. PubMed PMID: 31066478. Position

201. Viernes B, Lynch KE, South B, Coronado G, DuVall SL. Characterizing VA Users with the OMOP Common Data Model. Stud Health Technol Inform. 2019;264:1614-5. Epub 2019/08/24. doi: SHTI190561 [pii] 10.3233/SHTI190561. PubMed PMID: 31438258. Characterization Study

202. Polubriaginof FCG, Ryan P, Salmasian H, Shapiro AW, Perotte A, Safford MM, Hripcsak G, Smith S, Tatonetti NP, Vawdrey DK. Challenges with quality of race and ethnicity data in observational databases. J Am Med Inform Assoc. 2019;26(8-9):730-6. Epub 2019/08/01. doi: 10.1093/jamia/ocz113. PubMed PMID: 31365089; PubMed Central PMCID: PMCPMC6696496. Characterization Study

203. Meystre SM, Heider PM, Kim Y, Aruch DB, Britten CD. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019;129:13-9. Epub 2019/08/25. doi: S1386-5056(18)31052-9 [pii] 10.1016/j.ijmedinf.2019.05.018. PubMed PMID: 31445247; PubMed Central PMCID: PMC6717538. Trial

204. Jiang G, Yu Y, Kingsbury PR, Shah N. Augmenting Medical Device Evaluation Using a Reusable Unique Device Identifier Interoperability Solution Based on the OHDSI Common Data Model. Stud Health Technol Inform. 2019;264:1502-3. Epub 2019/08/24. doi: SHTI190505 [pii] 10.3233/SHTI190505. PubMed PMID: 31438202. Vocabulary

205. Yu Y, Ruddy KJ, Hong N, Tsuji S, Wen A, Shah ND, Jiang G. ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model. J Biomed Inform. 2019;91:103119. Epub 2019/02/11. doi: S1532-0464(19)30037-1 [pii] 10.1016/j.jbi.2019.103119. PubMed PMID: 30738946; PubMed Central PMCID: PMC6432939. ETL

206. Reps JM, Cepeda MS, Ryan PB. Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data. PLoS One. 2020;15(2):e0228632. Epub 2020/02/14. doi: 10.1371/journal.pone.0228632. PubMed PMID: 32053653; PubMed Central PMCID: PMCPMC7017997. Prediction Study

207. Chen R, Ryan P, Natarajan K, Falconer T, Crew KD, Reich CG, Vashisht R, Randhawa G, Shah NH, Hripcsak G. Treatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data Network. JCO Clin Cancer Inform. 2020;4:171-83. Epub 2020/03/07. doi: 10.1200/cci.19.00107. PubMed PMID: 32134687; PubMed Central PMCID: PMCPMC7113074. Characterization Study

208. Kern DM, Cepeda MS, Defalco F, Etropolski M. Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019. BMC psychiatry. 2020;20(1):1-10. Characterization Study

209. Kern DM, Cepeda MS. Treatment patterns and comorbid burden of patients newly diagnosed with multiple sclerosis in the United States. BMC neurology. 2020;20(1):1-8. Characterization Study

210. Averitt AJ, Weng C, Ryan P, Perotte A. Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. NPJ Digit Med. 2020;3:67. Epub 2020/05/16. doi: 10.1038/s41746-020-0277-8. PubMed PMID: 32411828; PubMed Central PMCID: PMCPMC7214444. Estimation Methods, Trial

211. Lamer A, Depas N, Doutreligne M, Parrot A, Verloop D, Defebvre MM, Ficheur G, Chazard E, Beuscart JB. Transforming French Electronic Health Records into the Observational Medical Outcome Partnership’s Common Data Model: A Feasibility Study. Appl Clin Inform. 2020;11(1):13-22. Epub 2020/01/09. doi: 10.1055/s-0039-3402754. PubMed PMID: 31914471; PubMed Central PMCID: PMC6949163. ETL

212. Ryu B, Yoon E, Kim S, Lee S, Baek H, Yi S, Na HY, Kim JW, Baek RM, Hwang H, Yoo S. Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer. J Med Internet Res. 2020;22(12):e18526. Epub 2020/12/10. doi: v22i12e18526 [pii] 10.2196/18526. PubMed PMID: 33295294; PubMed Central PMCID: PMC7758167. ETL, NLP

213. Brandt PS, Kiefer RC, Pacheco JA, Adekkanattu P, Sholle ET, Ahmad FS, Xu J, Xu Z, Ancker JS, Wang F, Luo Y, Jiang G, Pathak J, Rasmussen LV. Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language. Learn Health Syst. 2020;4(4):e10233. Epub 2020/10/22. doi: 10.1002/lrh2.10233 LRH210233 [pii]. PubMed PMID: 33083538; PubMed Central PMCID: PMC7556419. Phenotyping

214. Syed S, Baghal A, Prior F, Zozus M, Al-Shukri S, Syeda HB, Garza M, Begum S, Gates K, Syed M, Sexton KW. Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models. Healthc Inform Res. 2020;26(3):193-200. Epub 2020/08/21. doi: hir.2020.26.3.193 [pii] 10.4258/hir.2020.26.3.193. PubMed PMID: 32819037; PubMed Central PMCID: PMC7438698. ETL, Phenotyping

215. Gruhl M, Reinecke I, Sedlmayr M. Specification and Distribution of Vocabularies Among Consortial Partners. Stud Health Technol Inform. 2020;270:1393-4. Epub 2020/06/24. doi: SHTI200458 [pii] 10.3233/SHTI200458. PubMed PMID: 32570675. Vocabulary

216. Stephens KA, West II, Hallgren KA, Mollis B, Ma K, Donovan DM, Stuvek B, Baldwin L-M. Service utilization and chronic condition outcomes among primary care patients with substance use disorders and co-occurring chronic conditions. Journal of substance abuse treatment. 2020;112:49-55. Characterization Study

217. Tong J, Duan R, Li R, Scheuemie MJ, Moore JH, Chen Y. Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data. Pac Symp Biocomput. 2020;25:695-706. Epub 2019/12/05. doi: 9789811215636_0061 [pii]. PubMed PMID: 31797639; PubMed Central PMCID: PMC6905508. Prediction Methods

218. Lee DY, Cho J, You SC, Park RW, Kim CS, Lee EY, Aizenstein H, Andreescu C, Karim H, Hong CH. Risk of mortality in elderly coronavirus disease 2019 patients with mental health disorders: a nationwide retrospective study in South Korea. The American Journal of Geriatric Psychiatry. 2020;28(12):1308-16. Characterization Study

219. Lane JCE, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Biedermann P, Banda JM, Burn E, Casajust P, Conover MM, Culhane AC, Davydov A, DuVall SL, Dymshyts D, Fernandez-Bertolin S, Fister K, Hardin J, Hester L, Hripcsak G, Kaas-Hansen BS, Kent S, Khosla S, Kolovos S, Lambert CG, van der Lei J, Lynch KE, Makadia R, Margulis AV, Matheny ME, Mehta P, Morales DR, Morgan-Stewart H, Mosseveld M, Newby D, Nyberg F, Ostropolets A, Park RW, Prats-Uribe A, Rao GA, Reich C, Reps J, Rijnbeek P, Sathappan SMK, Schuemie M, Seager S, Sena AG, Shoaibi A, Spotnitz M, Suchard MA, Torre CO, Vizcaya D, Wen H, de Wilde M, Xie J, You SC, Zhang L, Zhuk O, Ryan P, Prieto-Alhambra D, consortium O-C-. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study. Lancet Rheumatol. 2020;2(11):e698-e711. Epub 2020/08/31. doi: 10.1016/S2665-9913(20)30276-9 [pii]. PubMed PMID: 32864627; PubMed Central PMCID: PMC7442425. Estimation Study

220. Lane JCE, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Areia C, Biedermann P, Banda JM, Burn E, Casajust P, Fister K, Hardin J, Hester L, Hripcsak G, Kaas-Hansen BS, Khosla S, Kolovos S, Lynch KE, Makadia R, Mehta PP, Morales DR, Morgan-Stewart H, Mosseveld M, Newby D, Nyberg F, Ostropolets A, Woong Park R, Prats-Uribe A, Rao GA, Reich C, Rijnbeek P, Sena AG, Shoaibi A, Spotnitz M, Vignesh S, Suchard MA, Vizcaya D, Wen H, de Wilde M, Xie J, You SC, Zhang L, Lovestone S, Ryan P, Prieto-Alhambra D, consortium O-C-. Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study. Rheumatology (Oxford). 2020. Epub 2020/12/29. doi: 6048420 [pii] 10.1093/rheumatology/keaa771. PubMed PMID: 33367863; PubMed Central PMCID: PMC7798671. Estimation Study

221. Callahan A, Shah NH, Chen JH. Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data. Ann Intern Med. 2020;172(11 Suppl):S79-s84. Epub 2020/06/02. doi: 10.7326/m19-0873. PubMed PMID: 32479175; PubMed Central PMCID: PMCPMC7413106. Phenotyping

222. Spotnitz ME, Natarajan K, Ryan PB, Westhoff CL. Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel-Releasing Intrauterine System Users. Obstet Gynecol. 2020;135(2):319-27. Epub 2020/01/11. doi: 10.1097/aog.0000000000003656. PubMed PMID: 31923062; PubMed Central PMCID: PMCPMC7012337. Estimation Study

223. Alnofal FA, Alrwisan AA, Alshammari TM. Real-world data in Saudi Arabia: Current situation and challenges for regulatory decision-making. Pharmacoepidemiology and Drug Safety. 2020;29(10):1303-6. ETL

224. Kim HI, Yoon JY, Kwak MS, Cha JM. Real-World Use of Colonoscopy in an Older Population: A Nationwide Standard Cohort Study Using a Common Data Model. Digestive Diseases and Sciences. 2020:1-8. Characterization Study

225. Jeon S, Seo J, Kim S, Lee J, Kim JH, Sohn JW, Moon J, Joo HJ. Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models. J Med Internet Res. 2020;22(11):e19597. Epub 2020/11/13. doi: v22i11e19597 [pii] 10.2196/19597. PubMed PMID: 33177037; PubMed Central PMCID: PMC7728527. Methods Other

226. Schuemie MJ, Ryan PB, Pratt N, Chen R, You SC, Krumholz HM, Madigan D, Hripcsak G, Suchard MA. Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J Am Med Inform Assoc. 2020;27(8):1331-7. Epub 2020/09/11. doi: 10.1093/jamia/ocaa103. PubMed PMID: 32909033; PubMed Central PMCID: PMC7481029. Estimation Methods

227. Jin S, Kostka K, Posada JD, Kim Y, Seo SI, Lee DY, Shah NH, Roh S, Lim Y-H, Chae SG. Prediction of major depressive disorder following beta-blocker therapy in patients with cardiovascular diseases. Journal of personalized medicine. 2020;10(4):288. Prediction Study

228. Zuo X, Li J, Zhao B, Zhou Y, Dong X, Duke J, Natarajan K, Hripcsak G, Shah N, Banda JM, Reeves R, Miller T, Xu H. Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA Annu Symp Proc. 2020;2020:1441-50. Epub 2021/05/04. doi: 181_3416722 [pii]. PubMed PMID: 33936520; PubMed Central PMCID: PMC8075502. Referring to, NLP

229. Chandler RE. Nintedanib and ischemic colitis: Signal assessment with the integrated use of two types of real-world evidence, spontaneous reports of suspected adverse drug reactions, and observational data from large health-care databases. Pharmacoepidemiol Drug Saf. 2020;29(8):951-7. Epub 2020/05/14. doi: 10.1002/pds.5022. PubMed PMID: 32399991; PubMed Central PMCID: PMC7496543. Estimation Study

230. Michael CL, Sholle ET, Wulff RT, Roboz GJ, Campion TR, Jr. Mapping Local Biospecimen Records to the OMOP Common Data Model. AMIA Jt Summits Transl Sci Proc. 2020;2020:422-9. Epub 2020/06/02. PubMed PMID: 32477663; PubMed Central PMCID: PMC7233045. ETL, Vocabulary

231. Fishbein HA, Birch RJ, Mathew SM, Sawyer HL, Pulver G, Poling J, Kaelber D, Mardon R, Johnson MC, Pace W, editors. The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort. Healthcare; 2020: Elsevier. ETL

232. Duan R, Luo C, Schuemie MJ, Tong J, Liang CJ, Chang HH, Boland MR, Bian J, Xu H, Holmes JH. Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 2020;27(7):1028-36. Estimation Methods

233. Schuemie MJ, Ryan PB, Pratt N, Chen R, You SC, Krumholz HM, Madigan D, Hripcsak G, Suchard MA. Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J Am Med Inform Assoc. 2020;27(8):1268-77. Epub 2020/08/23. doi: 10.1093/jamia/ocaa124. PubMed PMID: 32827027; PubMed Central PMCID: PMCPMC7481033. Estimation Study

234. Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020;3:109. Epub 2020/08/31. doi: 10.1038/s41746-020-00308-0 308 [pii]. PubMed PMID: 32864472; PubMed Central PMCID: PMC7438496. Characterization Study, Trial

235. Burn E, You SC, Sena AG, Kostka K, Abedtash H, Abrahão MTF, Alberga A, Alghoul H, Alser O, Alshammari TM, Aragon M, Areia C, Banda JM, Cho J, Culhane AC, Davydov A, DeFalco FJ, Duarte-Salles T, DuVall S, Falconer T, Fernandez-Bertolin S, Gao W, Golozar A, Hardin J, Hripcsak G, Huser V, Jeon H, Jing Y, Jung CY, Kaas-Hansen BS, Kaduk D, Kent S, Kim Y, Kolovos S, Lane JCE, Lee H, Lynch KE, Makadia R, Matheny ME, Mehta PP, Morales DR, Natarajan K, Nyberg F, Ostropolets A, Park RW, Park J, Posada JD, Prats-Uribe A, Rao G, Reich C, Rho Y, Rijnbeek P, Schilling LM, Schuemie M, Shah NH, Shoaibi A, Song S, Spotnitz M, Suchard MA, Swerdel JN, Vizcaya D, Volpe S, Wen H, Williams AE, Yimer BB, Zhang L, Zhuk O, Prieto-Alhambra D, Ryan P. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. Nat Commun. 2020;11(1):5009. Epub 2020/10/08. doi: 10.1038/s41467-020-18849-z. PubMed PMID: 33024121; PubMed Central PMCID: PMCPMC7538555. Characterization Study

236. Yu Y, Ruddy KJ, Wen A, Zong N, Tsuji S, Chen J, Shah ND, Jiang G. Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse Events. AMIA Jt Summits Transl Sci Proc. 2020;2020:710-9. Epub 2020/06/02. PubMed PMID: 32477694; PubMed Central PMCID: PMC7233056. ETL

237. Su CC, Chia-Cheng Lai E, Kao Yang YH, Man KKC, Kubota K, Stang P, Schuemie M, Ryan P, Hardy C, Zhang Y, Kimura S, Kamijima Y, Wong ICK, Setoguchi S. Incidence, prevalence and prescription patterns of antipsychotic medications use in Asia and US: A cross-nation comparison with common data model. J Psychiatr Res. 2020;131:77-84. Epub 2020/09/19. doi: 10.1016/j.jpsychires.2020.08.025. PubMed PMID: 32947205. Characterization Study

238. Kumar P, Nestsiarovich A, Nelson SJ, Kerner B, Perkins DJ, Lambert CG. Imputation and characterization of uncoded self-harm in major mental illness using machine learning. J Am Med Inform Assoc. 2020;27(1):136-46. Epub 2019/10/28. doi: 10.1093/jamia/ocz173. PubMed PMID: 31651956; PubMed Central PMCID: PMCPMC7647246. Characterization Study

239. Liu S, Wang Y, Wen A, Wang L, Hong N, Shen F, Bedrick S, Hersh W, Liu H. Implementation of a cohort retrieval system for clinical data repositories using the observational medical outcomes partnership common data model: Proof-of-concept system validation. JMIR medical informatics. 2020;8(10):e17376. NLP

240. Schuemie MJ, Cepeda MS, Suchard MA, Yang J, Tian Y, Schuler A, Ryan PB, Madigan D, Hripcsak G. How Confident Are We about Observational Findings in Healthcare: A Benchmark Study. Harv Data Sci Rev. 2020;2(1). Epub 2020/12/29. doi: 10.1162/99608f92.147cc28e. PubMed PMID: 33367288; PubMed Central PMCID: PMC7755157. Estimation Methods

241. Reps JM, Williams RD, You SC, Falconer T, Minty E, Callahan A, Ryan PB, Park RW, Lim HS, Rijnbeek P. Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Med Res Methodol. 2020;20(1):102. Epub 2020/05/08. doi: 10.1186/s12874-020-00991-3 [pii]. PubMed PMID: 32375693; PubMed Central PMCID: PMC7201646. Prediction Study

242. Dixon BE, Wen C, French T, Williams JL, Duke JD, Grannis SJ. Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI). BMJ Health Care Inform. 2020;27(1). Epub 2020/04/02. doi: bmjhci-2019-100054 [pii] 10.1136/bmjhci-2019-100054. PubMed PMID: 32229499; PubMed Central PMCID: PMC7254131. Methods Other, Data Quality

243. Lovestone S. The European medical information framework: A novel ecosystem for sharing healthcare data across Europe. Learn Health Syst. 2020;4(2):e10214. Epub 2020/04/22. doi: 10.1002/lrh2.10214. PubMed PMID: 32313838; PubMed Central PMCID: PMCPMC7156868. Referring to

244. Tian Y, Chen W, Zhou T, Li J, Ding K, Li J. Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study. Int J Med Inform. 2020;141:104173. Epub 2020/06/13. doi: S1386-5056(20)30136-2 [pii] 10.1016/j.ijmedinf.2020.104173. PubMed PMID: 32531725. Prediction Methods

245. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for identification of drugs associated with upper gastrointestinal bleeding in the French National Healthcare System database (SNDS). Pharmacoepidemiol Drug Saf. 2020;29(8):890-903. Epub 2020/06/12. doi: 10.1002/pds.5038. PubMed PMID: 32524701. Estimation Study

246. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for drug safety alert identification in the French National Healthcare System database (SNDS): Methodology of the ALCAPONE project. Pharmacoepidemiol Drug Saf. 2020;29(9):993-1000. Epub 2020/03/07. doi: 10.1002/pds.4983. PubMed PMID: 32133717. Estimation Methods

247. Unberath P, Prokosch HU, Grundner J, Erpenbeck M, Maier C, Christoph J. EHR-Independent Predictive Decision Support Architecture Based on OMOP. Appl Clin Inform. 2020;11(3):399-404. Epub 2020/06/04. doi: 10.1055/s-0040-1710393. PubMed PMID: 32492716; PubMed Central PMCID: PMC7269719. Prediction Methods

248. Choi YI, Kim YJ, Chung JW, Kim KO, Kim H, Park RW, Park DK. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Med Inform. 2020;8(4):e15124. Epub 2020/04/16. doi: v8i4e15124 [pii] 10.2196/15124. PubMed PMID: 32293578; PubMed Central PMCID: PMC7191339. Referring to, Estimation Study

249. Kashyap M, Seneviratne M, Banda JM, Falconer T, Ryu B, Yoo S, Hripcsak G, Shah NH. Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J Am Med Inform Assoc. 2020;27(6):877-83. Epub 2020/05/07. doi: 5831103 [pii] 10.1093/jamia/ocaa032. PubMed PMID: 32374408; PubMed Central PMCID: PMC7309227. Phenotyping

250. Wang Q, Reps JM, Kostka KF, Ryan PB, Zou Y, Voss EA, Rijnbeek PR, Chen R, Rao GA, Morgan Stewart H, Williams AE, Williams RD, Van Zandt M, Falconer T, Fernandez-Chas M, Vashisht R, Pfohl SR, Shah NH, Kasthurirathne SN, You SC, Jiang Q, Reich C, Zhou Y. Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network. PLoS One. 2020;15(1):e0226718. Epub 2020/01/08. doi: 10.1371/journal.pone.0226718 PONE-D-19-25005 [pii]. PubMed PMID: 31910437; PubMed Central PMCID: PMC6946584 Development. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Prediction Study

251. Swerdel JN, Reps JM, Fife D, Ryan PB. Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative Datasets. Drug Saf. 2020;43(5):447-55. Epub 2020/01/16. doi: 10.1007/s40264-020-00906-7 [pii]. PubMed PMID: 31939079; PubMed Central PMCID: PMC7165142. Prediction Study

252. Yu Y, Ruddy K, Mansfield A, Zong N, Wen A, Tsuji S, Huang M, Liu H, Shah N, Jiang G. Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study. JMIR Med Inform. 2020;8(6):e17353. Epub 2020/06/13. doi: v8i6e17353 [pii] 10.2196/17353. PubMed PMID: 32530430; PubMed Central PMCID: PMC7320306. NLP

253. Reinecke I, Gulden C, Kummel M, Nassirian A, Blasini R, Sedlmayr M. Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. Stud Health Technol Inform. 2020;270:158-62. Epub 2020/06/24. doi: SHTI200142 [pii] 10.3233/SHTI200142. PubMed PMID: 32570366. Phenotyping, FHIR, Trial

254. Weng C, Shah NH, Hripcsak G. Deep phenotyping: Embracing complexity and temporality-Towards scalability, portability, and interoperability. J Biomed Inform. 2020;105:103433. Epub 2020/04/27. doi: 10.1016/j.jbi.2020.103433. PubMed PMID: 32335224; PubMed Central PMCID: PMCPMC7179504. Phenotyping

255. Bompelli A, Li J, Xu Y, Wang N, Wang Y, Adam T, He Z, Zhang R. Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA Annu Symp Proc. 2020;2020:243-52. Epub 2021/05/04. doi: 056_3415023 [pii]. PubMed PMID: 33936396; PubMed Central PMCID: PMC8075443. NLP

256. Fischer P, Stohr MR, Gall H, Michel-Backofen A, Majeed RW. Data Integration into OMOP CDM for Heterogeneous Clinical Data Collections via HL7 FHIR Bundles and XSLT. Stud Health Technol Inform. 2020;270:138-42. Epub 2020/06/24. doi: SHTI200138 [pii] 10.3233/SHTI200138. PubMed PMID: 32570362. ETL, FHIR

257. Averitt AJ, Vanitchanant N, Ranganath R, Perotte AJ. The Counterfactual χ-GAN: Finding comparable cohorts in observational health data. J Biomed Inform. 2020;109:103515. Epub 2020/08/11. doi: 10.1016/j.jbi.2020.103515. PubMed PMID: 32771540. Estimation Methods

258. Ji H, Kim S, Yi S, Hwang H, Kim JW, Yoo S. Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM. J Biomed Inform. 2020;107:103459. Epub 2020/05/30. doi: S1532-0464(20)30087-3 [pii] 10.1016/j.jbi.2020.103459. PubMed PMID: 32470694. ETL, NLP

259. Cho S, Sin M, Tsapepas D, Dale LA, Husain SA, Mohan S, Natarajan K. Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis. Appl Clin Inform. 2020;11(4):650-8. Epub 2020/10/08. doi: 10.1055/s-0040-1716528. PubMed PMID: 33027834; PubMed Central PMCID: PMC7557323 Kidney International Reports, outside the submitted work. ETL, Vocabulary

260. You SC, Jung S, Swerdel JN, Ryan PB, Schuemie MJ, Suchard MA, Lee S, Cho J, Hripcsak G, Park RW, Park S. Comparison of First-Line Dual Combination Treatments in Hypertension: Real-World Evidence from Multinational Heterogeneous Cohorts. Korean Circ J. 2020;50(1):52-68. Epub 2019/10/24. doi: 10.4070/kcj.2019.0173. PubMed PMID: 31642211; PubMed Central PMCID: PMCPMC6923236. Estimation Study

261. Hripcsak G, Suchard MA, Shea S, Chen R, You SC, Pratt N, Madigan D, Krumholz HM, Ryan PB, Schuemie MJ. Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension. JAMA Intern Med. 2020;180(4):542-51. Epub 2020/02/18. doi: 10.1001/jamainternmed.2019.7454. PubMed PMID: 32065600; PubMed Central PMCID: PMCPMC7042845. Estimation Study

262. Kim Y, Tian Y, Yang J, Huser V, Jin P, Lambert CG, Park H, You SC, Park RW, Rijnbeek PR, Van Zandt M, Reich C, Vashisht R, Wu Y, Duke J, Hripcsak G, Madigan D, Shah NH, Ryan PB, Schuemie MJ, Suchard MA. Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis. Sci Rep. 2020;10(1):11115. Epub 2020/07/08. doi: 10.1038/s41598-020-68037-8 10.1038/s41598-020-68037-8 [pii]. PubMed PMID: 32632237; PubMed Central PMCID: PMC7338498. Estimation Study

263. Seo SI, You SC, Park CH, Kim TJ, Ko YS, Kim Y, Yoo JJ, Kim J, Shin WG. Comparative risk of Clostridium difficile infection between proton pump inhibitors and histamine-2 receptor antagonists: A 15-year hospital cohort study using a common data model. Journal of gastroenterology and hepatology. 2020;35(8):1325-30. Estimation Study

264. Davidson L, Boland MR. Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm. AMIA Jt Summits Transl Sci Proc. 2020;2020:126-35. Epub 2020/06/02. PubMed PMID: 32477631; PubMed Central PMCID: PMCPMC7233099. ETL

265. Ostropolets A, Reich C, Ryan P, Weng C, Molinaro A, DeFalco F, Jonnagaddala J, Liaw ST, Jeon H, Park RW, Spotnitz ME, Natarajan K, Argyriou G, Kostka K, Miller R, Williams A, Minty E, Posada J, Hripcsak G. Characterizing database granularity using SNOMED-CT hierarchy. AMIA Annu Symp Proc. 2020;2020:983-92. Epub 2021/05/04. doi: 134_3416797 [pii]. PubMed PMID: 33936474; PubMed Central PMCID: PMC8075504. Characterization Methods, Vocabulary

266. Kim H, Yoo S, Jeon Y, Yi S, Kim S, Choi SA, Hwang H, Kim KJ. Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model. Front Neurol. 2020;11:409. Epub 2020/06/02. doi: 10.3389/fneur.2020.00409. PubMed PMID: 32477256; PubMed Central PMCID: PMC7235379. Characterization Study

267. Weinstein RB, Ryan PB, Berlin JA, Schuemie MJ, Swerdel J, Fife D. Channeling Bias in the Analysis of Risk of Myocardial Infarction, Stroke, Gastrointestinal Bleeding, and Acute Renal Failure with the Use of Paracetamol Compared with Ibuprofen. Drug Saf. 2020;43(9):927-42. Epub 2020/06/06. doi: 10.1007/s40264-020-00950-3. PubMed PMID: 32500272; PubMed Central PMCID: PMCPMC7434801. Estimation Study

268. Candore G, Hedenmalm K, Slattery J, Cave A, Kurz X, Arlett P. Can We Rely on Results From IQVIA Medical Research Data UK Converted to the Observational Medical Outcome Partnership Common Data Model?: A Validation Study Based on Prescribing Codeine in Children. Clin Pharmacol Ther. 2020;107(4):915-25. Epub 2020/01/21. doi: 10.1002/cpt.1785. PubMed PMID: 31956997; PubMed Central PMCID: PMC7158210. Characterization Study, Position

269. You SC, Rho Y, Bikdeli B, Kim J, Siapos A, Weaver J, Londhe A, Cho J, Park J, Schuemie M, Suchard MA, Madigan D, Hripcsak G, Gupta A, Reich CG, Ryan PB, Park RW, Krumholz HM. Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention. Jama. 2020;324(16):1640-50. Epub 2020/10/28. doi: 10.1001/jama.2020.16167. PubMed PMID: 33107944; PubMed Central PMCID: PMCPMC7592033. Estimation Study

270. Lee SM, Kim K, Yoon J, Park SK, Moon S, Lee SE, Oh J, Yoo S, Kim K-I, Yoon H-J. Association between use of hydrochlorothiazide and nonmelanoma skin cancer: Common data model cohort study in Asian population. Journal of clinical medicine. 2020;9(9):2910. Estimation Study

271. Cho J, You SC, Lee S, Park D, Park B, Hripcsak G, Park RW. Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model. Int J Environ Res Public Health. 2020;17(21). Epub 2020/10/30. doi: ijerph17217824 [pii] 10.3390/ijerph17217824. PubMed PMID: 33114631; PubMed Central PMCID: PMC7663469. Methods Other

272. Brauer R, Wong ICK, Man KK, Pratt NL, Park RW, Cho SY, Li YJ, Iqbal U, Nguyen PA, Schuemie M. Application of a Common Data Model (CDM) to rank the paediatric user and prescription prevalence of 15 different drug classes in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, descriptive study. BMJ open. 2020;10(1):e032426. Epub 2020/01/16. doi: 10.1136/bmjopen-2019-032426. PubMed PMID: 31937652; PubMed Central PMCID: PMCPMC7044847. Characterization Study

273. Choi SA, Kim H, Kim S, Yoo S, Yi S, Jeon Y, Hwang H, Kim KJ. Analysis of antiseizure drug-related adverse reactions from the electronic health record using the common data model. Epilepsia. 2020;61(4):610-6. Characterization Study

274. Ostropolets A, Reich C, Ryan P, Shang N, Hripcsak G, Weng C. Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. J Biomed Inform. 2020;102:103363. Epub 2019/12/24. doi: S1532-0464(19)30283-7 [pii] 10.1016/j.jbi.2019.103363. PubMed PMID: 31866433; PubMed Central PMCID: PMC7390483. Phenotyping

275. Yuan Z, DeFalco F, Wang L, Hester L, Weaver J, Swerdel JN, Freedman A, Ryan P, Schuemie M, Qiu R, Yee J, Meininger G, Berlin JA, Rosenthal N. Acute pancreatitis risk in type 2 diabetes patients treated with canagliflozin versus other antihyperglycemic agents: an observational claims database study. Curr Med Res Opin. 2020;36(7):1117-24. Epub 2020/04/28. doi: 10.1080/03007995.2020.1761312. PubMed PMID: 32338068. Estimation Study

276. Bhuyan P, Medin J, da Silva HG, Yadavalli M, Shankar NK, Mullerova H, Arnold M, Nord M. Very rare thrombosis with thrombocytopenia after second AZD1222 dose: a global safety database analysis. The Lancet. 2021. doi: 10.1016/S0140-6736(21)01693-7. Active Surveillance, Characterization Study

277. Prats-Uribe A, Sena AG, Lai LYH, Ahmed WU, Alghoul H, Alser O, Alshammari TM, Areia C, Carter W, Casajust P, Dawoud D, Golozar A, Jonnagaddala J, Mehta PP, Gong M, Morales DR, Nyberg F, Posada JD, Recalde M, Roel E, Shah K, Shah NH, Schilling LM, Subbian V, Vizcaya D, Zhang L, Zhang Y, Zhu H, Liu L, Cho J, Lynch KE, Matheny ME, You SC, Rijnbeek PR, Hripcsak G, Lane JC, Burn E, Reich C, Suchard MA, Duarte-Salles T, Kostka K, Ryan PB, Prieto-Alhambra D. Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study. bmj. 2021;373:n1038. Epub 2021/05/13. doi: 10.1136/bmj.n1038. PubMed PMID: 33975825; PubMed Central PMCID: PMC8111167. Characterization Study

278. Wang Y, Makadia R, Knoll C, Hardin J, Voss EA, Fife D, Davis K, Sloan S. Understanding patient journey in ulcerative colitis prior to biologic initiation: a 5-year exploration. BMC gastroenterology. 2021;21(1):1-8. Characterization Study

279. Almeida JR, Silva JF, Matos S, Oliveira JL. A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases. J Biomed Inform. 2021;120:103849. Epub 2021/07/03. doi: 10.1016/j.jbi.2021.103849. PubMed PMID: 34214696. ETL, NLP

280. Kim JW, Kim S, Ryu B, Song W, Lee HY, Yoo S. Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership’s Common Data Model: a pilot feasibility study. Sci Rep. 2021;11(1):7013. Epub 2021/03/31. doi: 10.1038/s41598-021-86564-w 10.1038/s41598-021-86564-w [pii]. PubMed PMID: 33782494; PubMed Central PMCID: PMC8007756. ETL, Vocabulary

281. Kim JH, Ta CN, Liu C, Sung C, Butler AM, Stewart LA, Ena L, Rogers JR, Lee J, Ostropolets A, Ryan PB, Liu H, Lee SM, Elkind MSV, Weng C. Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. J Am Med Inform Assoc. 2021;28(1):14-22. Epub 2020/12/02. doi: 10.1093/jamia/ocaa276. PubMed PMID: 33260201; PubMed Central PMCID: PMCPMC7798960. Trial Feasibility

282. Fife D, Blacketer C, Knight RK, Weaver J. Stroke risk among elderly users of haloperidol and typical antipsychotics versus atypical antipsychotics: a real-world study from a US health insurance claims database. The American Journal of Geriatric Psychiatry. 2021;29(5):499-510. Estimation Study

283. Yoon JY, Cha JM, Kim HI, Kwak MS. Seasonal variation of peptic ulcer disease, peptic ulcer bleeding, and acute pancreatitis: A nationwide population-based study using a common data model. Medicine. 2021;100(21). Characterization Study

284. Kim GL, Yi YH, Hwang HR, Kim J, Park Y, Kim YJ, Lee JG, Tak YJ, Lee SH, Lee SY, Cho YH, Park EJ, Lee Y. The Risk of Osteoporosis and Osteoporotic Fracture Following the Use of Irritable Bowel Syndrome Medical Treatment: An Analysis Using the OMOP CDM Database. J Clin Med. 2021;10(9). Epub 2021/06/03. doi: jcm10092044 [pii] 10.3390/jcm10092044. PubMed PMID: 34068814; PubMed Central PMCID: PMC8126251. Estimation Study, Characterization Study

285. Lane JC, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Areia C, Biedermann P. Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study. Rheumatology. 2021;60(7):3222-34. Characterization Study

286. Morales DR, Conover MM, You SC, Pratt N, Kostka K, Duarte-Salles T, Fernandez-Bertolin S, Aragon M, DuVall SL, Lynch K, Falconer T, van Bochove K, Sung C, Matheny ME, Lambert CG, Nyberg F, Alshammari TM, Williams AE, Park RW, Weaver J, Sena AG, Schuemie MJ, Rijnbeek PR, Williams RD, Lane JCE, Prats-Uribe A, Zhang L, Areia C, Krumholz HM, Prieto-Alhambra D, Ryan PB, Hripcsak G, Suchard MA. Renin-angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis. Lancet Digit Health. 2021;3(2):e98-e114. Epub 2020/12/22. doi: S2589-7500(20)30289-2 [pii] 10.1016/S2589-7500(20)30289-2. PubMed PMID: 33342753; PubMed Central PMCID: PMC7834915. Estimation Study

287. Schuemie MJ, Weinstein R, Ryan PB, Berlin JA. Quantifying bias in epidemiologic studies evaluating the association between acetaminophen use and cancer. Regul Toxicol Pharmacol. 2021;120:104866. Epub 2021/01/18. doi: 10.1016/j.yrtph.2021.104866. PubMed PMID: 33454352. Estimation Methods

288. Vogelsang RP, Bojesen RD, Hoelmich ER, Orhan A, Buzquurz F, Cai L, Grube C, Zahid JA, Allakhverdiiev E, Raskov HH, Drakos I, Derian N, Ryan PB, Rijnbeek PR, Gögenur I. Prediction of 90-day mortality after surgery for colorectal cancer using standardized nationwide quality-assurance data. BJS Open. 2021;5(3). Epub 2021/05/09. doi: 10.1093/bjsopen/zrab023. PubMed PMID: 33963368; PubMed Central PMCID: PMCPMC8105588. Prediction Study

289. Chen Z, Liu H, Butler A, Ostropolets A, Weng C. Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping. Stud Health Technol Inform. 2021;281:148-52. Epub 2021/05/28. doi: SHTI210138 [pii] 10.3233/SHTI210138. PubMed PMID: 34042723. Methods Other, Trial

290. Dimitriadis VK, Gavriilidis GI, Natsiavas P. Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data. Stud Health Technol Inform. 2021;281:555-9. Epub 2021/05/28. doi: SHTI210232 [pii] 10.3233/SHTI210232. PubMed PMID: 34042637. ETL, Active Surveillance

291. Maier C, Kapsner LA, Mate S, Prokosch HU, Kraus S. Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model. Appl Clin Inform. 2021;12(1):57-64. Epub 2021/01/29. doi: 10.1055/s-0040-1721481. PubMed PMID: 33506478; PubMed Central PMCID: PMC7840432. Methods Other

292. Ge J, Pletcher MJ, Lai JC. Outcomes of SARS-CoV-2 Infection in Patients with Chronic Liver Disease and Cirrhosis: a N3C Study. Gastroenterology. 2021. Epub 2021/07/21. doi: 10.1053/j.gastro.2021.07.010. PubMed PMID: 34284037; PubMed Central PMCID: PMCPMC8286237. Characterization Study

293. Sharafeldin N, Bates B, Song Q, Madhira V, Yan Y, Dong S, Lee E, Kuhrt N, Shao YR, Liu F, Bergquist T, Guinney J, Su J, Topaloglu U. Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C). J Clin Oncol. 2021;39(20):2232-46. Epub 2021/06/05. doi: 10.1200/jco.21.01074. PubMed PMID: 34085538; PubMed Central PMCID: PMCPMC8260918. Characterization Study

294. Shin H, Lee S. An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources. BMC Med Inform Decis Mak. 2021;21(1):159. Epub 2021/05/19. doi: 10.1186/s12911-021-01520-y 10.1186/s12911-021-01520-y [pii]. PubMed PMID: 34001114; PubMed Central PMCID: PMC8130307. Active Surveillance, Methods Other

295. Burn E, Tebé C, Fernandez-Bertolin S, Aragon M, Recalde M, Roel E, Prats-Uribe A, Prieto-Alhambra D, Duarte-Salles T. The natural history of symptomatic COVID-19 during the first wave in Catalonia. Nature communications. 2021;12(1):1-12. Characterization Study

296. Gaudet-Blavignac C, Raisaro JL, Touré V, Österle S, Crameri K, Lovis C. A National, Semantic-Driven, Three-Pillar Strategy to Enable Health Data Secondary Usage Interoperability for Research Within the Swiss Personalized Health Network: Methodological Study. JMIR Med Inform. 2021;9(6):e27591. Epub 2021/06/30. doi: 10.2196/27591. PubMed PMID: 34185008; PubMed Central PMCID: PMCPMC8277320. Characterization Methods, Methods Other

297. Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PR, Pfaff ER, Robinson PN, Saltz JH. The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment. Journal of the American Medical Informatics Association. 2021;28(3):427-43. ETL

298. Kim C, You SC, Reps JM, Cheong JY, Park RW. Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. Journal of the American Medical Informatics Association. 2021;28(6):1098-107. Prediction Methods

299. Liu H, Chi Y, Butler A, Sun Y, Weng C. A knowledge base of clinical trial eligibility criteria. J Biomed Inform. 2021;117:103771. Epub 2021/04/05. doi: S1532-0464(21)00100-3 [pii] 10.1016/j.jbi.2021.103771. PubMed PMID: 33813032. Methods Other, Trial

300. Blacketer C, Defalco FJ, Ryan PB, Rijnbeek PR. Increasing trust in real-world evidence through evaluation of observational data quality. J Am Med Inform Assoc. 2021. Epub 2021/07/28. doi: 10.1093/jamia/ocab132. PubMed PMID: 34313749. Data Quality

301. Seong Y, You SC, Ostropolets A, Rho Y, Park J, Cho J, Dymshyts D, Reich CG, Heo Y, Park RW. Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary. Healthc Inform Res. 2021;27(1):29-38. Epub 2021/02/22. doi: hir.2021.27.1.29 [pii] 10.4258/hir.2021.27.1.29. PubMed PMID: 33611874; PubMed Central PMCID: PMC7921574. Vocabulary, ETL

301. Wang L, Swerdel JN, Weaver J, Weiss B, Pan G, Yuan Z, DiBattiste PM. Incidence rate of hospitalization and mortality in the first year following initial diagnosis of cardiac amyloidosis in the US claims databases. Current Medical Research and Opinion. 2021:1-11. Characterization Study

302. Reps JM, Kim C, Williams RD, Markus AF, Yang C, Duarte-Salles T, Falconer T, Jonnagaddala J, Williams A, Fernández-Bertolín S, DuVall SL, Kostka K, Rao G, Shoaibi A, Ostropolets A, Spotnitz ME, Zhang L, Casajust P, Steyerberg EW, Nyberg F, Kaas-Hansen BS, Choi YH, Morales D, Liaw ST, Abrahão MTF, Areia C, Matheny ME, Lynch KE, Aragón M, Park RW, Hripcsak G, Reich CG, Suchard MA, You SC, Ryan PB, Prieto-Alhambra D, Rijnbeek PR. Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study. JMIR Med Inform. 2021;9(4):e21547. Epub 2021/03/05. doi: 10.2196/21547. PubMed PMID: 33661754; PubMed Central PMCID: PMCPMC8023380. Prediction Study

303. Majeed RW, Stohr MR, Gunther A. HIStream-Import: A Generic. ETL Framework for Processing Arbitrary Patient Data Collections or Hospital Information Systems into HL7 FHIR Bundles. Stud Health Technol Inform. 2021;278:75-9. Epub 2021/05/28. doi: SHTI210053 [pii] 10.3233/SHTI210053. PubMed PMID: 34042878. ETL, FHIR

304. Kim HI, Yoon JY, Kwak MS, Cha JM. Gastrointestinal and Nongastrointestinal Complications of Esophagogastroduodenoscopy and Colonoscopy in the Real World: A Nationwide Standard Cohort Using the Common Data Model Database. Gut and Liver. 2021. Characterization Study

305. Rinaldi E, Thun S. From OpenEHR to FHIR and OMOP Data Model for Microbiology Findings. Stud Health Technol Inform. 2021;281:402-6. Epub 2021/05/28. doi: SHTI210189 [pii] 10.3233/SHTI210189. PubMed PMID: 34042774. ETL, FHIR

306. Park J, You SC, Jeong E, Weng C, Park D, Roh J, Lee DY, Cheong JY, Choi JW, Kang M, Park RW. A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study. JMIR Med Inform. 2021;9(3):e23983. Epub 2021/03/31. doi: v9i3e23983 [pii] 10.2196/23983. PubMed PMID: 33783361; PubMed Central PMCID: PMC8044740. ETL, NLP

307. Belenkaya R, Gurley MJ, Golozar A, Dymshyts D, Miller RT, Williams AE, Ratwani S, Siapos A, Korsik V, Warner J, Campbell WS, Rivera D, Banokina T, Modina E, Bethusamy S, Stewart HM, Patel M, Chen R, Falconer T, Park RW, You SC, Jeon H, Shin SJ, Reich C. Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research. JCO Clin Cancer Inform. 2021;5:12-20. Epub 2021/01/08. doi: 10.1200/CCI.20.00079. PubMed PMID: 33411620; PubMed Central PMCID: PMC8140810. ETL, Vocabulary

308. Schüttler C, Prokosch HU, Sedlmayr M, Sedlmayr B. Evaluation of Three Feasibility Tools for Identifying Patient Data and Biospecimen Availability: Comparative Usability Study. JMIR Med Inform. 2021;9(7):e25531. Epub 2021/07/22. doi: 10.2196/25531. PubMed PMID: 34287211. Characterization Methods

309. Oh S, Sung M, Rhee Y, Hong N, Park YR. Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study. JMIR Med Inform. 2021;9(5):e24940. Epub 2021/06/01. doi: v9i5e24940 [pii] 10.2196/24940. PubMed PMID: 34057426. Methods Other

310. Giangreco NP, Tatonetti NP. Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children. BioData Min. 2021;14(1):34. Epub 2021/07/24. doi: 10.1186/s13040-021-00264-9. PubMed PMID: 34294093. Methods Other

311. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for identification of drugs associated with acute liver injury in the French National Healthcare System database (SNDS). Pharmacoepidemiol Drug Saf. 2021;30(3):320-33. Epub 2020/10/26. doi: 10.1002/pds.5161. PubMed PMID: 33099844. Referring to, Estimation Study

312. Reps JM, Rijnbeek P, Cuthbert A, Ryan PB, Pratt N, Schuemie M. An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design. BMC Med Inform Decis Mak. 2021;21(1):43. Epub 2021/02/08. doi: 10.1186/s12911-021-01408-x. PubMed PMID: 33549087; PubMed Central PMCID: PMCPMC7866757. Prediction Methods, Prediction Study

313. Hripcsak G, Schuemie MJ, Madigan D, Ryan PB, Suchard MA. Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI. Yearb Med Inform. 2021. Epub 2021/04/22. doi: 10.1055/s-0041-1726481. PubMed PMID: 33882595. Position

314. Mamidi TKK, Tran-Nguyen TK, Melvin RL, Worthey EA. Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data. Front Big Data. 2021;4:675882. Epub 2021/06/22. doi: 10.3389/fdata.2021.675882. PubMed PMID: 34151259; PubMed Central PMCID: PMCPMC8211871. Prediction Study

315. Sivesind TE, Runion T, Branda M, Schilling LM, Dellavalle RP. Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network. Dermatology. 2021:1-9. Epub 2021/03/19. doi: 000514536 [pii] 10.1159/000514536. PubMed PMID: 33735862. Position

316. Kang B, Yoon J, Kim HY, Jo SJ, Lee Y, Kam HJ. Deep-learning-based automated terminology mapping in OMOP-CDM. J Am Med Inform Assoc. 2021. Epub 2021/05/15. doi: 6275415 [pii] 10.1093/jamia/ocab030. PubMed PMID: 33987667. ETL, Vocabulary

317. Ostropolets A, Zachariah P, Ryan P, Chen R, Hripcsak G. Data Consult Service: Can we use observational data to address immediate clinical needs? Journal of the American Medical Informatics Association. 2021. doi: 10.1093/jamia/ocab122. Estimation Study; Characterization Study

318. Wang J, Abu-El-Rub N, Gray J, Pham HA, Zhou Y, Manion FJ, Liu M, Song X, Xu H, Rouhizadeh M, Zhang Y. COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model. J Am Med Inform Assoc. 2021. Epub 2021/03/07. doi: 6155732 [pii] 10.1093/jamia/ocab015. PubMed PMID: 33674830; PubMed Central PMCID: PMC7989301. ETL, NLP

319. Tan EH, Sena AG, Prats-Uribe A, You SC, Ahmed WU, Kostka K, Reich C, Duvall SL, Lynch KE, Matheny ME, Duarte-Salles T, Bertolin SF, Hripcsak G, Natarajan K, Falconer T, Spotnitz M, Ostropolets A, Blacketer C, Alshammari TM, Alghoul H, Alser O, Lane JCE, Dawoud DM, Shah K, Yang Y, Zhang L, Areia C, Golozar A, Recalde M, Casajust P, Jonnagaddala J, Subbian V, Vizcaya D, Lai LYH, Nyberg F, Morales DR, Posada JD, Shah NH, Gong M, Vivekanantham A, Abend A, Minty EP, Suchard M, Rijnbeek P, Ryan PB, Prieto-Alhambra D. COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries. Rheumatology (Oxford). 2021. Epub 2021/03/17. doi: 6174122 [pii] 10.1093/rheumatology/keab250. PubMed PMID: 33725121; PubMed Central PMCID: PMC7989171. Characterization Study

320. Chan You S, Krumholz HM, Suchard MA, Schuemie MJ, Hripcsak G, Chen R, Shea S, Duke J, Pratt N, Reich CG, Madigan D, Ryan PB, Woong Park R, Park S. Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients: A Large-Scale Multicenter Observational Study. Hypertension. 2021;77(5):1528-38. Epub 2021/03/30. doi: 10.1161/hypertensionaha.120.16402. PubMed PMID: 33775125; PubMed Central PMCID: PMCPMC8035236. Estimation Study

321. Jensen ET, Dabelea DA, Praveen PA, Amutha A, Hockett CW, Isom SP, Ong TC, Mohan V, D’Agostino R, Jr., Kahn MG, Hamman RF, Wadwa P, Dolan L, Lawrence JM, Madhu SV, Chhokar R, Goel K, Tandon N, Mayer-Davis E. Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries. Pediatr Diabetes. 2021;22(1):8-14. Epub 2020/03/21. doi: 10.1111/pedi.13009. PubMed PMID: 32196874; PubMed Central PMCID: PMC7748376. Characterization Study

322. Cronin RM, Halvorson AE, Springer C, Feng X, Sulieman L, Loperena-Cortes R, Mayo K, Carroll RJ, Chen Q, Ahmedani BK. Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. Journal of the American Medical Informatics Association. 2021;28(4):695-703. ETL

323. Rogers JR, Liu C, Hripcsak G, Cheung YK, Weng C. Comparison of Clinical Characteristics Between Clinical Trial Participants and Nonparticipants Using Electronic Health Record Data. JAMA network open. 2021;4(4):e214732-e. Trial Feasibility

324. Chen R, Suchard MA, Krumholz HM, Schuemie MJ, Shea S, Duke J, Pratt N, Reich CG, Madigan D, You SC, Ryan PB, Hripcsak G. Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study. Hypertension. 2021:HYPERTENSIONAHA12016667. Epub 2021/07/27. doi: 10.1161/HYPERTENSIONAHA.120.16667. PubMed PMID: 34304580. Active Surveillance

325. Lee J, Liu C, Kim JH, Butler A, Shang N, Pang C, Natarajan K, Ryan P, Ta C, Weng C. Comparative effectiveness of medical concept embedding for feature engineering in phenotyping. JAMIA open. 2021;4(2):ooab028. Epub 2021/06/19. doi: 10.1093/jamiaopen/ooab028. PubMed PMID: 34142015; PubMed Central PMCID: PMCPMC8206403. Phenotyping

326. Shoaibi A, Fortin SP, Weinstein R, Berlin JA, Ryan P. Comparative Effectiveness of Famotidine in Hospitalized COVID-19 Patients. Am J Gastroenterol. 2021;116(4):692-9. Epub 2021/05/14. doi: 10.14309/ajg.0000000000001153. PubMed PMID: 33982938. Estimation Study

327. Kent S, Burn E, Dawoud D, Jonsson P, Ostby JT, Hughes N, Rijnbeek P, Bouvy JC. Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment. PharmacoEconomics. 2021;39(3):275-85. Epub 2020/12/19. doi: 10.1007/s40273-020-00981-9 10.1007/s40273-020-00981-9 [pii]. PubMed PMID: 33336320; PubMed Central PMCID: PMC7746423. Position

328. Bennett TD, Moffitt RA, Hajagos JG, Amor B, Anand A, Bissell MM, Bradwell KR, Bremer C, Byrd JB, Denham A, DeWitt PE, Gabriel D, Garibaldi BT, Girvin AT, Guinney J, Hill EL, Hong SS, Jimenez H, Kavuluru R, Kostka K, Lehmann HP, Levitt E, Mallipattu SK, Manna A, McMurry JA, Morris M, Muschelli J, Neumann AJ, Palchuk MB, Pfaff ER, Qian Z, Qureshi N, Russell S, Spratt H, Walden A, Williams AE, Wooldridge JT, Yoo YJ, Zhang XT, Zhu RL, Austin CP, Saltz JH, Gersing KR, Haendel MA, Chute CG, National CCCC. Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative. JAMA Netw Open. 2021;4(7):e2116901. Epub 2021/07/14. doi: 10.1001/jamanetworkopen.2021.16901. PubMed PMID: 34255046; PubMed Central PMCID: PMCPMC8278272. Characterization Study, Prediction Study

329. Jeon H, You SC, Kang SY, Seo SI, Warner JL, Belenkaya R, Park RW. Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study. JMIR Med Inform. 2021;9(4):e25035. Epub 2021/03/16. doi: v9i4e25035 [pii] 10.2196/25035. PubMed PMID: 33720842; PubMed Central PMCID: PMC8058693. Methods Other

330. Roel E, Pistillo A, Recalde M, Sena AG, Fernandez-Bertolin S, Aragon M, Puente D, Ahmed WU, Alghoul H, Alser O, Alshammari TM, Areia C, Blacketer C, Carter W, Casajust P, Culhane AC, Dawoud D, DeFalco F, DuVall SL, Falconer T, Golozar A, Gong M, Hester L, Hripcsak G, Tan EH, Jeon H, Jonnagaddala J, Lai LY, Lynch KE, Matheny ME, Morales DR, Natarajan K, Nyberg F, Ostropolets A, Posada JD, Prats-Uribe A, Reich CG, Rivera DR, Schilling LM, Soerjomataram I, Shah K, Shah NH, Shen Y, Spotnitz M, Subbian V, Suchard MA, Trama A, Zhang L, Zhang Y, Ryan PB, Prieto-Alhambra D, Kostka K, Duarte-Salles T. Characteristics and outcomes of over 300,000 COVID-19 individuals with history of cancer in the United States and Spain. Cancer Epidemiol Biomarkers Prev. 2021. Epub 2021/07/18. doi: 10.1158/1055-9965. EPI-21-0266. PubMed PMID: 34272262. Characterization Study

331. Recalde M, Roel E, Pistillo A, Sena AG, Prats-Uribe A, Ahmed WU, Alghoul H, Alshammari TM, Alser O, Areia C, Burn E, Casajust P, Dawoud D, DuVall SL, Falconer T, Fernández-Bertolín S, Golozar A, Gong M, Lai LYH, Lane JCE, Lynch KE, Matheny ME, Mehta PP, Morales DR, Natarjan K, Nyberg F, Posada JD, Reich CG, Rijnbeek PR, Schilling LM, Shah K, Shah NH, Subbian V, Zhang L, Zhu H, Ryan P, Prieto-Alhambra D, Kostka K, Duarte-Salles T. Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom. Int J Obes (Lond). 2021:1-11. Epub 2021/07/17. doi: 10.1038/s41366-021-00893-4. PubMed PMID: 34267326; PubMed Central PMCID: PMCPMC8281807. Characterization Study

332. Li X, Ostropolets A, Makadia R, Shoaibi A, Rao G, Sena AG, Martinez-Hernandez E, Delmestri A, Verhamme K, Rijnbeek PR, Duarte-Salles T, Suchard MA, Ryan PB, Hripcsak G, Prieto-Alhambra D. Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study. bmj. 2021;373:n1435. doi: 10.1136/bmj.n1435. Characterization Study, Estimation Study

333. Reps JM, Kim C, Williams RD, Markus AF, Yang C, Salles TD, Falconer T, Jonnagaddala J, Williams A, Fernández-Bertolín S. Can we trust the prediction model? Illustrating the importance of external validation by implementing the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets. JMIR medical informatics. 2021;9(4). Prediction Methods

334. Sun Y, Butler A, Stewart LA, Liu H, Yuan C, Southard CT, Kim JH, Weng C. Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. J Biomed Inform. 2021;118:103790. Epub 2021/04/23. doi: S1532-0464(21)00119-2 [pii] 10.1016/j.jbi.2021.103790. PubMed PMID: 33887457; PubMed Central PMCID: PMC8079156. Methods Other, Trial

335. Lenert LA, Ilatovskiy AV, Agnew J, Rudsill P, Jacobs J, Weatherston D, Deans K. Automated Production of Research Data Marts from a Canonical Fast Healthcare Interoperability Resource (FHIR) Data Repository: Applications to COVID-19 Research. J Am Med Inform Assoc. 2021. Epub 2021/05/17. doi: 6276433 [pii] 10.1093/jamia/ocab108. PubMed PMID: 33993254. ETL, FHIR

336. Boudis F, Clement G, Bruandet A, Lamer A. Automated Generation of Individual and Population Clinical Pathways with the OMOP Common Data Model. Stud Health Technol Inform. 2021;281:218-22. Epub 2021/05/28. doi: SHTI210152 [pii] 10.3233/SHTI210152. PubMed PMID: 34042737. Characterization Methods

337. Cepeda MS, Kern DM, Canuso CM. At baseline patients treated with esketamine have higher burden of disease than other patients with treatment resistant depression: Learnings from a population based study. Depression and anxiety. 2021;38(5):521-7. Characterization Study

338. Fortin SP, Johnston SS, Schuemie MJ. Applied comparison of large-scale propensity score matching and cardinality matching for causal inference in observational research. BMC medical research methodology. 2021;21(1):1-11. Estimation Methods

339. Zoch M, Gierschner C, Peng Y, Gruhl M, Leutner LA, Sedlmayr M, Bathelt F. Adaption of the OMOP CDM for Rare Diseases. Stud Health Technol Inform. 2021;281:138-42. Epub 2021/05/28. doi: SHTI210136 [pii] 10.3233/SHTI210136. PubMed PMID: 34042721. ETL, Vocabulary

340. Majeed RW, Fischer P, Gunther A. Accessing OMOP Common Data Model Repositories with the i2b2 Webclient – Algorithm for Automatic Query Translation. Stud Health Technol Inform. 2021;278:251-9. Epub 2021/05/28. doi: SHTI210077 [pii] 10.3233/SHTI210077. PubMed PMID: 34042902. Methods Other

341. Duarte-Salles T, Vizcaya D, Pistillo A, Casajust P, Sena AG, Lai LYH, Prats-Uribe A, Ahmed WU, Alshammari TM, Alghoul H, Alser O, Burn E, You SC, Areia C, Blacketer C, DuVall S, Falconer T, Fernandez-Bertolin S, Fortin S, Golozar A, Gong M, Tan EH, Huser V, Iveli P, Morales DR, Nyberg F, Posada JD, Recalde M, Roel E, Schilling LM, Shah NH, Shah K, Suchard MA, Zhang L, Zhang Y, Williams AE, Reich CG, Hripcsak G, Rijnbeek P, Ryan P, Kostka K, Prieto-Alhambra D. 30-Day Outcomes of Children and Adolescents With COVID-19: An International Experience. Pediatrics. 2021. Epub 2021/05/30. doi: 10.1542/peds.2020-042929. PubMed PMID: 34049958. Characterization Study

342. Reeves RM, Christensen L, Brown JR, Conway M, Levis M, Gobbel GT, Shah RU, Goodrich C, Ricket I, Minter F, Bohm A, Bray BE, Matheny ME, Chapman W. Adaptation of an NLP system to a new healthcare environment to identify social determinants of healthJ Biomed Inform. 2021 Aug;120:103851. doi: 10.1016/j.jbi.2021.103851. Epub 2021 Jun 24. PMID: 34174396 NLP

343. Reps, J.M., Ryan, P.B., Rijnbeek, P.R. et al. Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets. J Big Data 8, 108 (2021).

344. Hardin, J., Reps, J.M. Evaluating the impact of covariate lookback times on performance of patient-level prediction models. BMC Med Res Methodol 21, 180 (2021).

345. Sathappan SMK, Jeon YS, Dang TK, Lim SC, Shao YM, Tai ES, Feng M. Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset. Appl Clin Inform. 2021 Aug;12(4):757-767. doi: 10.1055/s-0041-1732301. Epub 2021 Aug 11. PMID: 34380168

346. Papez V, Moinat M, Payralbe S, Asselbergs FW, Lumbers RT, Hemingway H, Dobson R, Denaxas S. Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open. 2021 Feb 4;4(3):ooab001. doi: 10.1093/jamiaopen/ooab001. eCollection 2021 Jul. PMID: 34514354

347. Khalid S, Yang C, Blacketer C, Duarte-Salles T, Fernández-Bertolín S, Kim C, Park RW, Park J, Schuemie MJ, Sena AG, Suchard MA, You SC, Rijnbeek PR, Reps JM. A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Comput Methods Programs Biomed. 2021 Nov;211:106394. doi: 10.1016/j.cmpb.2021.106394. Epub 2021 Sep 6. PMID: 34560604

348. Peng Y, Nassirian A, Ahmadi N, Sedlmayr M, Bathelt F. Towards the Representation of Genomic Data in HL7 FHIR and OMOP CDM. Stud Health Technol Inform. 2021 Sep 21;283:86-94. doi: 10.3233/SHTI210545. PMID: 34545823. FHIR

349. Reinecke I, Zoch M, Reich C, Sedlmayr M, Bathelt F. The Usage of OHDSI OMOP – A Scoping Review. Stud Health Technol Inform. 2021 Sep 21;283:95-103. doi: 10.3233/SHTI210546. PMID: 34545824

350. Pfaff ER, Girvin AT, Gabriel DL, Kostka K, Morris M, Palchuk M, Lehmann HP, Amor B, Bissell M, Bradwell KR, Gold S, Hong SS, Loomba J, Manna A, McMurry J, Niehaus E, Quresh N, Walden A, Zhang XT, Zhu RL, Moffitt RA, Haendel MA, Chute CG; N3C Consortium. Synergies between Centralized and Federated Approaches to Data Quality: A Report from the National COVID Cohort Collaborative. J Am Med Inform Assoc. 2021 Sep 30:ocab217. doi: 10.1093/jamia/ocab217. Online ahead of print. PMID: 34590684 Data Quality

351. Lamer A, Abou-Arab O, Bourgeois A, Parrot A, Popoff B, Beuscart JB, Tavernier B, Moussa MD. Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study. J Med Internet Res. 2021 Oct 29;23(10):e29259. doi: 10.2196/29259. PMID: 34714250

352. Biedermann P, Ong R, Davydov A, Orlova A, Solovyev P, Sun H, Wetherill G, Brand M, Didden EM. Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases. BMC Med Res Methodol. 2021 Nov 2;21(1):238. doi: 10.1186/s12874-021-01434-3. PMID: 34727871

353. Mun Y, You SC, Lee DY, Kim S, Chung YR, Lee K, Song JH, Park YG, Park YH, Roh YJ, Woo SJ, Park KH, Park RW, Yoo S, Chang DJ, Park SJ. Real-world incidence of endophthalmitis after intravitreal anti-VEGF injection: Common Data Model in ophthalmology. Epidemiol Health. 2021 Nov 9:e2021097. doi: 10.4178/epih.e2021097. Online ahead of print. PMID: 34773936

354. Gabetta M, Alloni A, Polce F, Lanzola G, Parimbelli E, Barbarini N. Development of a FHIR Layer on Top of the OMOP Common Data Model for the CAPABLE Project. Stud Health Technol Inform. 2021 Nov 18;287:28-29. doi: 10.3233/SHTI210804. PMID: 34795073. FHIR

355. Kristine E Lynch, Jillian C Shipherd, Elise Gatsby, Benjamin Viernes, Scott L DuVall, John R Blosnich. Sexual orientation-related disparities in health conditions that elevate COVID-19 severity. Annals of Epidemiology. Volume 66. 2022. Pages 5-12. ISSN 1047-2797.

356. Girani E, Gabetta M, Alloni A, Stuppia M, Sacchi L, Barbarini N. Automatic Data Transfer from OMOP-CDM to REDCap: A Semantically-Enriched Framework. Stud Health Technol Inform. 2021 Nov 18;287:30-31. doi: 10.3233/SHTI210805. PMID: 34795074

357. Reinecke I, Zoch M, Wilhelm M, Sedlmayr M, Bathelt F. Transfer of Clinical Drug Data to a Research Infrastructure on OMOP – A FAIR Concept. Stud Health Technol Inform. 2021 Nov 18;287:63-67. doi: 10.3233/SHTI210815. PMID: 34795082

358. Pedrera M, Garcia N, Rubio P, Cruz JL, Bernal JL, Serrano P. Making EHRs Reusable: A Common Framework of Data Operations. Stud Health Technol Inform. 2021 Nov 18;287:129-133. doi: 10.3233/SHTI210831. PMID: 34795096

359. Reps JM, Ryan P, Rijnbeek P. Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data BMJ Open 2021; 11:e050146. doi: 10.1136/bmjopen-2021-050146

360. Williams RD, Reps JM; OHDSI/EHDEN Knee Arthroplasty Group, Rijnbeek PR, Ryan PB, Prieto-Alhambra D. 90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction model. Knee Surg Sports Traumatol Arthrosc. 2021 Dec 6. doi: 10.1007/s00167-021-06799-y. Online ahead of print. PMID: 34870731

361. Li Xintong, Lai Lana YH, Ostropolets Anna, Arshad Faaizah, Tan Eng Hooi, Casajust Paula, Alshammari Thamir M., Duarte-Salles Talita, Minty Evan P., Areia Carlos, Pratt Nicole, Ryan Patrick B., Hripcsak George, Suchard Marc A., Schuemie Martijn J., Prieto-Alhambra Daniel. Bias, Precision and Timeliness of Historical (Background) Rate Comparison Methods for Vaccine Safety Monitoring: An Empirical Multi-Database Analysis. Frontiers in Pharmacology. 2021. DOI=10.3389/fphar.2021.773875

362. Paris N, Lamer A, Parrot A. Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study. JMIR Med Inform. 2021 Dec 14;9(12):e30970. doi: 10.2196/30970. PMID: 34904958

363. Wood WA, Marks P, Plovnick RM, Hewitt K, Neuberg DS, Walters S, Dolan BK, Tucker EA, Abrams CS, Thompson AA, Anderson KC, Kluetz P, Farrell A, Rivera D, Gertzog M, Pappas G. ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology. Blood Adv. 2021 Dec 14;5(23):5429-5438. doi: 10.1182/bloodadvances.2021005902. PMID: 34673922

364. Choi S, Choi SJ, Kim JK, Nam KC, Lee S, Kim JH, Lee YK. Preliminary feasibility assessment of CDM-based active surveillance using current status of medical device data in medical records and OMOP-CDM. Sci Rep. 2021 Dec 15;11(1):24070. doi: 10.1038/s41598-021-03332-6. PMID: 34911976

365. Nestsiarovich A, Reps JM, Matheny ME, DuVall SL, Lynch KE, Beaton M, Jiang X, Spotnitz M, Pfohl SR, Shah NH, Torre CO, Reich CG, Lee DY, Son SJ, You SC, Park RW, Ryan PB, Lambert CG. Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Transl Psychiatry. 2021 Dec 20;11(1):642. doi: 10.1038/s41398-021-01760-6. PMID: 34930903

366. Reyes C, Pistillo A, Fernández-Bertolín S, Recalde M, Roel E, Puente D, Sena AG, Blacketer C, Lai L, Alshammari TM, Ahmed WU, Alser O, Alghoul H, Areia C, Dawoud D, Prats-Uribe A, Valveny N, de Maeztu G, Sorlí Redó L, Martinez Roldan J, Lopez Montesinos I, Schilling LM, Golozar A, Reich C, Posada JD, Shah N, You SC, Lynch KE, DuVall SL, Matheny ME, Nyberg F, Ostropolets A, Hripcsak G, Rijnbeek PR, Suchard MA, Ryan P, Kostka K, Duarte-Salles T. Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study. BMJ Open. 2021 Dec 22;11(12):e057632. doi: 10.1136/bmjopen-2021-057632. PMID: 34937726

367. Daniel Morales, Anna Ostropolets, Lana Lai, Anthony Sena, Scott Duvall, Marc Suchard, Katia Verhamme, Peter Rjinbeek, Joe Posada, Waheed Ahmed, Thamer Alshammary, Heba Alghoul, Osaid Alser, Carlos Areia, Clair Blacketer, Ed Burn, Paula Casajust, Seng You, Dalia Dawoud, Asieh Golozar, Menchung Gong, Jitendra Jonnagaddala, Kristine Lynch, Michael Matheny, Evan Minty, Fredrik Nyberg, Albert Uribe, Martina Recalde, Christian Reich, Martijn Scheumie, Karishma Shah, Nigam Shah, Lisa Schilling, David Vizcaya, Lin Zhang, George Hripcsak, Patrick Ryan, Daniel Prieto-Alhambra, Talita Durate-Salles & Kristin Kostka (2022). Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe, Journal of Asthma DOI: 10.1080/02770903.2021.2025392

368. Lee, S.-H.; Park, J.; Park, R.W.; Shin, S.J.; Kim, J.; Sung, J.D.; Kim, D.J.; Yang, K. Renin-Angiotensin-Aldosterone System Inhibitors and Risk of Cancer: A Population-Based Cohort Study Using a Common Data Model. Diagnostics 2022, 12, 263. DOI: 0.3390/diagnostics12020263

369. Park C, You SC, Jeon H, Jeong CW, Choi JW, Park RW. Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data. Yonsei Med J. 2022 Jan;63(Suppl):S74-S83. doi: 10.3349/ymj.2022.63.S74. PMID: 35040608

370. Ji X, Cui G, Xu C, Hou J, Zhang Y, Ren Y. Combining a Pharmacological Network Model with a Bayesian Signal Detection Algorithm to Improve the Detection of Adverse Drug Events. Front Pharmacol. 2022 Jan 3;12:773135. doi: 10.3389/fphar.2021.773135. eCollection 2021. PMID: 35046809

371. Yu Y, Zong N, Wen A, Liu S, Stone DJ, Knaack D, Chamberlain AM, Pfaff E, Gabriel D, Chute CG, Shah N, Jiang G. Developing an ETL Tool for Converting the PCORnet CDM into the OMOP CDM to Facilitate the COVID-19 Data Integration. J Biomed Inform. 2022 Jan 22:104002. doi: 10.1016/j.jbi.2022.104002. Online ahead of print. PMID: 35077901

372. Cynthia Yang, Jan A Kors, Solomon Ioannou, Luis H John, Aniek F Markus, Alexandros Rekkas, Maria A J de Ridder, Tom M Seinen, Ross D Williams, Peter R Rijnbeek, Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review, Journal of the American Medical Informatics Association, 2022;, ocac002,

373. Williams RD, Markus AF, Yang C, Duarte-Salles T, DuVall SL, Falconer T, Jonnagaddala J, Kim C, Rho Y, Williams AE, Machado AA, An MH, Aragón M, Areia C, Burn E, Choi YH, Drakos I, Abrahão MTF, Fernández-Bertolín S, Hripcsak G, Kaas-Hansen BS, Kandukuri PL, Kors JA, Kostka K, Liaw ST, Lynch KE, Machnicki G, Matheny ME, Morales D, Nyberg F, Park RW, Prats-Uribe A, Pratt N, Rao G, Reich CG, Rivera M, Seinen T, Shoaibi A, Spotnitz ME, Steyerberg EW, Suchard MA, You SC, Zhang L, Zhou L, Ryan PB, Prieto-Alhambra D, Reps JM, Rijnbeek PR. Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network. BMC Med Res Methodol. 2022 Jan 30;22(1):35. doi: 10.1186/s12874-022-01505-z. PMID: 35094685

374. Lavallee, M., Yu, T., Evans, L. et al. Evaluating the performance of temporal pattern discovery: new application using statins and rhabdomyolysis in OMOP databasesBMC Med Inform Decis Mak 22, 31 (2022).

375. Burn, E., Li, X., Kostka, K., Stewart, H.M., Reich, C., Seager, S., Duarte-Salles, T., Fernandez-Bertolin, S., Aragón, M., Reyes, C., Martinez-Hernandez, E., Marti, E., Delmestri, A., Verhamme, K., Rijnbeek, P., Horban, S., Morales, D.R. and Prieto-Alhambra, D. (2022), Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID-19 vaccine safety surveillance: incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries. Pharmacoepidemiol Drug Saf. Accepted Author Manuscript.

376. Pfaff, E., Haendel, M., Kostka, K., Lee, A., Niehaus, E., Palchuk, M., Walters, K., Chute, C. (2022). Ensuring a safe(r) harbor: Excising personally identifiable information from structured electronic health record data. Journal of Clinical and Translational Science, 6(1), E10. doi:10.1017/cts.2021.880

377. Matthew Spotnitz, Anna Ostropolets, Victor G. Castano, Karthik Natarajan, Genna J. Waldman, Michael Argenziano, Ruth Ottman, George Hripcsak, Hyunmi Choi, Brett E. Youngerman, Patient characteristics and antiseizure medication pathways in newly diagnosed epilepsy: Feasibility and pilot results using the common data model in a single-center electronic medical record database, Epilepsy & Behavior, Volume 129, 2022, 108630, ISSN 1525-5050,

378. JungHyun Byun, Dong Yun Lee, Chang-Won Jeong, Yerim Kim, Hak Young Rhee, Ki Won Moon, Jeongwon Heo, Yoonki Hong, Woo Jin Kim, Seung-Joo Nam, Hoon Sung Choi, Ji In Park, In Kook Chun, So Hyeon Bak, Kyoungyul Lee, Gi Hwan Byeon, Kyoung Lae Kim, Jeong-Ah Kim, Young Joo Park, Jeong Hyun Kim, Eun ju Lee, Sang-Ah Lee, Sung Ok Kwon, Sang-Won Park, Payam Hosseinzadeh Kasani, Jung-Kyeom Kim, Yeshin Kim, Seongheon Kim and Jae-Won Jang. Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM. Sci Rep 124451 (2022).

379. Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D. Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS. Clin Epidemiol. 2022;14:369-384.

380. Yuan Lu, Mui Van Zandt, Yun Liu, Jing Li, Xialin Wang, Yong Chen, Zhengfeng Chen, Jaehyeong Cho, Sreemanee Raaj Dorajoo, Mengling Feng, Min-Huei Hsu, Jason C. Hsu, Usman Iqbal, Jitendra Jonnagaddala, Yu-Chuan Li, Siaw-Teng Liaw, Hong-Seok Lim, Kee Yuan Ngiam, Phung-Anh Nguyen, Rae Woong Park, Nicole Pratt, Christian Reich, Sang Youl Rhee, Selva Muthu Kumaran Sathappan, Seo Jeong Shin, Hui Xing Tan, Seng Chan You, Xin Zhang, Harlan M. Krumholz, Marc A. Suchard, and Hua Xu. Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort. JAMA Netw Open. 2022;5(3):e223877. doi:10.1001/jamanetworkopen.2022.3877

381. Akihiko Nishimura and Marc A. Suchard (2022) Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in ‘large n & large p’ Bayesian sparse regression, Journal of the American Statistical Association, DOI: 10.1080/01621459.2022.2057859