Publications

These publications are updated through August, 2024, and profiled in the Our Journey. The next update will come when the 2025 Our Journey is published, which will be around the Global Symposium.

1. 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. doi: 10.7326/0003-4819-153-9-201011020-00010. PubMed PMID: 21041580.

2. Schuemie MJ. Methods for drug safety signal detection in longitudinal observational databases: LGPS and LEOPARD. Pharmacoepidemiol Drug Saf. 2011;20(3):292-9. Epub 20101013. doi: 10.1002/pds.2051. PubMed PMID: 20945505.

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. doi: 10.1097/EDE.0b013e318228ca1d. PubMed PMID: 21811110.

4. 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 20111028. doi: 10.1136/amiajnl-2011-000376. PubMed PMID: 22037893; PubMed Central PMCID: PMC3240764.

5. 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. doi: 10.1002/pds.2321. PubMed PMID: 22262596.

6. 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 20120607. doi: 10.1016/j.jbi.2012.05.002. PubMed PMID: 22683994.

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. Med Care. 2012;50 Suppl(0):S21-9. doi: 10.1097/MLR.0b013e318257dd67. PubMed PMID: 22692254; PubMed Central PMCID: PMC3833692.

8. Schuemie MJ, Coloma PM, Straatman H, Herings RM, Trifirò G, Matthews JN, Prieto-Merino D, Molokhia M, Pedersen L, Gini R, Innocenti F, Mazzaglia G, Picelli G, Scotti L, van der Lei J, Sturkenboom MC. Using electronic health care records for drug safety signal detection: a comparative evaluation of statistical methods. Med Care. 2012;50(10):890-7. doi: 10.1097/MLR.0b013e31825f63bf. PubMed PMID: 22929992.

9. 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 20120927. doi: 10.1002/sim.5620. PubMed PMID: 23015364.

10. 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 20110830. doi: 10.1177/0962280211403602. PubMed PMID: 21878461.

11. 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. doi: 10.1007/s40264-012-0009-3. PubMed PMID: 23329543.

12. 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 20121027. doi: 10.1007/s10742-012-0102-1. PubMed PMID: 23396660; PubMed Central PMCID: PMC3566397.

13. 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 20130214. doi: 10.1002/pds.3419. PubMed PMID: 23408560.

14. 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 20130211. doi: 10.1038/clpt.2013.24. PubMed PMID: 23571771; PubMed Central PMCID: PMC3857139.

15. 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 20130505. doi: 10.1093/aje/kwt010. PubMed PMID: 23648805; PubMed Central PMCID: PMC3736754.

16. 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. doi: 10.1007/s40264-013-0060-8. PubMed PMID: 23670723.

17. 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. doi: 10.1097/MLR.0b013e31829b1e0b. PubMed PMID: 23774519.

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 20131011. doi: 10.1111/biom.12078. PubMed PMID: 24117144.

19. 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. doi: 10.1007/s40264-013-0103-1. PubMed PMID: 24166220.

20. 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. doi: 10.1007/s40264-013-0097-8. PubMed PMID: 24166222.

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. doi: 10.1007/s40264-013-0098-7. PubMed PMID: 24166223.

22. 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. doi: 10.1007/s40264-013-0099-6. PubMed PMID: 24166224.

23. 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. doi: 10.1007/s40264-013-0105-z. PubMed PMID: 24166225.

24. 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. doi: 10.1007/s40264-013-0100-4. PubMed PMID: 24166226.

25. 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. doi: 10.1007/s40264-013-0101-3. PubMed PMID: 24166227.

26. 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. doi: 10.1007/s40264-013-0095-x. PubMed PMID: 24166228.

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. doi: 10.1007/s40264-013-0106-y. PubMed PMID: 24166229.

28. 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. doi: 10.1007/s40264-013-0107-x. PubMed PMID: 24166230.

29. 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. doi: 10.1007/s40264-013-0108-9. PubMed PMID: 24166231.

30. 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. doi: 10.1007/s40264-013-0109-8. PubMed PMID: 24166232.

31. 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. doi: 10.1007/s40264-013-0110-2. PubMed PMID: 24166233.

32. 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. doi: 10.1007/s40264-013-0111-1. PubMed PMID: 24166234.

33. 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. doi: 10.1007/s40264-013-0112-0. PubMed PMID: 24166235.

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

35. Ryan PB, Madigan D, Stang PE, Schuemie MJ, Hripcsak G. Medication-wide association studies. CPT Pharmacometrics Syst Pharmacol. 2013;2(9):e76. Epub 20130918. doi: 10.1038/psp.2013.52. PubMed PMID: 24448022; PubMed Central PMCID: PMC4026636.

36. 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 20131116. PubMed PMID: 24551366; PubMed Central PMCID: PMC3900207.

37. 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. doi: 10.1177/2042098613477445. PubMed PMID: 25083251; PubMed Central PMCID: PMC4110833.

38. 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). doi: 10.1145/2414416.2414791. PubMed PMID: 25328363; PubMed Central PMCID: PMC4201181.

39. 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 20130730. doi: 10.1002/sim.5925. PubMed PMID: 23900808; PubMed Central PMCID: PMC4285234.

40. Schuemie MJ, Ryan PB, Suchard MA, Shahn Z, Madigan D. Discussion: An estimate of the science-wise false discovery rate and application to the top medical literature. Biostatistics. 2014;15(1):36-9; discussion 9-45. Epub 20130925. doi: 10.1093/biostatistics/kxt037. PubMed PMID: 24068252; PubMed Central PMCID: PMC3862211.

41. 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. doi: 10.1007/s40264-014-0138-y. PubMed PMID: 24526267; PubMed Central PMCID: PMC3936132.

42. Trifirò 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. doi: 10.1111/joim.12159. PubMed PMID: 24635221.

43. White RW, Harpaz R, Shah NH, DuMouchel W, Horvitz E. Toward enhanced pharmacovigilance using patient-generated data on the internet. Clin Pharmacol Ther. 2014;96(2):239-46. Epub 20140408. doi: 10.1038/clpt.2014.77. PubMed PMID: 24713590; PubMed Central PMCID: PMC4111778.

44. Ohno-Machado L, Agha Z, Bell DS, Dahm L, Day ME, Doctor JN, Gabriel D, Kahlon MK, Kim KK, Hogarth M, Matheny ME, Meeker D, Nebeker JR. pSCANNER: patient-centered Scalable National Network for Effectiveness Research. J Am Med Inform Assoc. 2014;21(4):621-6. Epub 20140429. doi: 10.1136/amiajnl-2014-002751. PubMed PMID: 24780722; PubMed Central PMCID: PMC4078293.

45. Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, Milov DE, Vieland VJ, Wolf BA, Yu FB, Kahn MG. PEDSnet: a National Pediatric Learning Health System. J Am Med Inform Assoc. 2014;21(4):602-6. Epub 20140512. doi: 10.1136/amiajnl-2014-002743. PubMed PMID: 24821737; PubMed Central PMCID: PMC4078288.

46. Boyce RD, Ryan PB, Norén GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifirò 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. doi: 10.1007/s40264-014-0189-0. PubMed PMID: 24985530; PubMed Central PMCID: PMC4134480.

47. 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. doi: 10.1007/s40264-014-0214-3. PubMed PMID: 25187016; PubMed Central PMCID: PMC4206771.

48. 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. doi: 10.1007/s40264-014-0221-4. PubMed PMID: 25187018.

49. 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(9):e137. Epub 20140924. doi: 10.1038/psp.2014.35. PubMed PMID: 25250527; PubMed Central PMCID: PMC4211266.

50. 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 20141111. doi: 10.13063/2327-9214.1110. PubMed PMID: 25848597; PubMed Central PMCID: PMC4371500.

51. Pace WD, Fox CH, White T, Graham D, Schilling LM, West DR. The DARTNet Institute: Seeking a Sustainable Support Mechanism for Electronic Data Enabled Research Networks. EGEMS (Wash DC). 2014;2(2):1063. Epub 20140902. doi: 10.13063/2327-9214.1063. PubMed PMID: 25848603; PubMed Central PMCID: PMC4371434.

52. 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 20140526. doi: 10.1002/jrsm.1121. PubMed PMID: 26052957.

53. 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 20150210. doi: 10.1093/jamia/ocu023. PubMed PMID: 25670757; PubMed Central PMCID: PMC4457111.

54. 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. doi: 10.1097/yic.0000000000000068. PubMed PMID: 25730525; PubMed Central PMCID: PMC4383368.

55. 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 20150406. doi: 10.1186/s13326-015-0010-8. PubMed PMID: 25848530; PubMed Central PMCID: PMC4386082.

56. 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 20150308. doi: 10.1186/s12874-015-0001-6. PubMed PMID: 25887092; PubMed Central PMCID: PMC4369827.

57. 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 20150323. doi: 10.13063/2327-9214.1052. PubMed PMID: 25992385; PubMed Central PMCID: PMC4434997.

58. 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 20150602. doi: 10.1093/jamia/ocv046. PubMed PMID: 26041386; PubMed Central PMCID: PMC4986668.

59. 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. doi: 10.1007/s40264-015-0297-5. PubMed PMID: 26055920.

60. 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 20150612. doi: 10.1371/journal.pone.0129974. PubMed PMID: 26068584; PubMed Central PMCID: PMC4466327.

61. Garbe E, Pigeot I. [Benefits of large healthcare databases for drug risk research]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015;58(8):829-37. doi: 10.1007/s00103-015-2185-7. PubMed PMID: 26092163.

62. Reps JM, Garibaldi JM, Aickelin U, Gibson JE, Hubbard RB. A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations. J Biomed Inform. 2015;56:356-68. Epub 20150624. doi: 10.1016/j.jbi.2015.06.011. PubMed PMID: 26116429.

63. 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. doi: 10.1007/s40264-015-0314-8. PubMed PMID: 26153397; PubMed Central PMCID: PMC4579260.

64. 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, Norén 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. PubMed PMID: 26262116; PubMed Central PMCID: PMC4815923.

65. Boland MR, Tatonetti NP. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events. AMIA Jt Summits Transl Sci Proc. 2015;2015:196-200. Epub 20150323. PubMed PMID: 26306268; PubMed Central PMCID: PMC4525221.

66. 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 20150826. doi: 10.4338/aci-2014-12-cr-0121. PubMed PMID: 26448797; PubMed Central PMCID: PMC4586341.

67. 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 20151026. doi: 10.1016/j.jbi.2015.10.009. PubMed PMID: 26515501.

68. 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 20151105. PubMed PMID: 26958207; PubMed Central PMCID: PMC4765683.

69. 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 20140331. doi: 10.1177/0962280214527531. PubMed PMID: 24685766.

70. Yoon D, Schuemie MJ, Kim JH, Kim DK, Park MY, Ahn EK, Jung EY, Park DK, Cho SY, Shin D, Hwang Y, Park RW. A normalization method for combination of laboratory test results from different electronic healthcare databases in a distributed research network. Pharmacoepidemiol Drug Saf. 2016;25(3):307-16. Epub 20151103. doi: 10.1002/pds.3893. PubMed PMID: 26527579.

71. 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 20151112. doi: 10.1002/wsbm.1323. PubMed PMID: 26559926; PubMed Central PMCID: PMC4760887.

72. 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. doi: 10.1007/s40264-016-0392-2. PubMed PMID: 26879560.

73. 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 20160131. doi: 10.4258/hir.2016.22.1.54. PubMed PMID: 26893951; PubMed Central PMCID: PMC4756059.

74. Gruber S, Tchetgen Tchetgen E. Limitations of empirical calibration of p-values using observational data. Stat Med. 2016;35(22):3869-82. Epub 20160310. doi: 10.1002/sim.6936. PubMed PMID: 26970249; PubMed Central PMCID: PMC5012943.

75. Gini R, Schuemie M, Brown J, Ryan P, Vacchi E, Coppola M, Cazzola W, Coloma P, Berni R, Diallo G, Oliveira JL, Avillach P, Trifirò 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 20160208. doi: 10.13063/2327-9214.1189. PubMed PMID: 27014709; PubMed Central PMCID: PMC4780748.

76. Nissim N, Boland MR, Tatonetti NP, Elovici Y, Hripcsak G, Shahar Y, Moskovitch R. Improving condition severity classification with an efficient active learning based framework. J Biomed Inform. 2016;61:44-54. Epub 20160322. doi: 10.1016/j.jbi.2016.03.016. PubMed PMID: 27016383; PubMed Central PMCID: PMC5486916.

77. 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 20160331. doi: 10.2147/dhps.S95399. PubMed PMID: 27099532; PubMed Central PMCID: PMC4824282.

78. 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. J Am Med Inform Assoc. 2016;23(6):1166-73. Epub 20160512. doi: 10.1093/jamia/ocw028. PubMed PMID: 27174893; PubMed Central PMCID: PMC5070523.

79. 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 20160510. doi: 10.1038/sdata.2016.26. PubMed PMID: 27193236; PubMed Central PMCID: PMC4872271.

80. 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 Disord. 2016;18(3):247-60. doi: 10.1111/bdi.12391. PubMed PMID: 27226264; PubMed Central PMCID: PMC5089566.

81. 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 20160606. doi: 10.1073/pnas.1510502113. PubMed PMID: 27274072; PubMed Central PMCID: PMC4941483.

82. 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 20160714. doi: 10.1002/pds.4065. PubMed PMID: 27418432.

83. 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. doi: 10.1002/sim.6977. PubMed PMID: 27592566; PubMed Central PMCID: PMC5108459.

84. 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 20160904. doi: 10.1016/j.jbi.2016.09.003. PubMed PMID: 27600407; PubMed Central PMCID: PMC5077682.

85. Kahn MG, Callahan TJ, Barnard J, Bauck AE, Brown J, Davidson BN, Estiri H, Goerg C, Holve E, Johnson SG, Liaw ST, Hamilton-Lopez M, Meeker D, Ong TC, Ryan P, Shang N, Weiskopf NG, Weng C, Zozus MN, Schilling L. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data. EGEMS (Wash DC). 2016;4(1):1244. Epub 20160911. doi: 10.13063/2327-9214.1244. PubMed PMID: 27713905; PubMed Central PMCID: PMC5051581.

86. 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 20161020. doi: 10.1371/journal.pone.0164972. PubMed PMID: 27764192; PubMed Central PMCID: PMC5072717.

87. 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 20161026. doi: 10.13063/2327-9214.1252. PubMed PMID: 27891528; PubMed Central PMCID: PMC5108634.

88. 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 20161209. doi: 10.1136/bmjopen-2016-012413. PubMed PMID: 27940627; PubMed Central PMCID: PMC5168667.

89. 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 20161029. doi: 10.1016/j.jbi.2016.10.016. PubMed PMID: 27989817; PubMed Central PMCID: PMC6810649.

90. 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 20161130. doi: 10.13063/2327-9214.1239. PubMed PMID: 28154833; PubMed Central PMCID: PMC5226382.

91. 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 20170210. PubMed PMID: 28269868; PubMed Central PMCID: PMC5333244.

92. 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 20160717. doi: 10.1002/sam.11324. PubMed PMID: 28503249; PubMed Central PMCID: PMC5423675.

93. 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 20161216. doi: 10.1016/j.jbi.2016.12.005. PubMed PMID: 27993747; PubMed Central PMCID: PMC5316295.

94. Boland MR, Karczewski KJ, Tatonetti NP. Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. PLoS Comput Biol. 2017;13(1):e1005278. Epub 20170119. doi: 10.1371/journal.pcbi.1005278. PubMed PMID: 28103227; PubMed Central PMCID: PMC5245793.

95. 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. doi: 10.1007/s40266-016-0430-x. PubMed PMID: 28124262.

96. 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. doi: 10.1097/jcp.0000000000000647. PubMed PMID: 28225746.

97. Park RW. Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics. Healthc Inform Res. 2017;23(1):1-3. Epub 20170131. doi: 10.4258/hir.2017.23.1.1. PubMed PMID: 28261525; PubMed Central PMCID: PMC5334126.

98. 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 20170307. doi: 10.1186/s13326-017-0115-3. PubMed PMID: 28270198; PubMed Central PMCID: PMC5341176.

99. 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. doi: 10.1093/jamia/ocx019. PubMed PMID: 28379377; PubMed Central PMCID: PMC6259668.

100. 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 20170406. doi: 10.1016/j.jstrokecerebrovasdis.2017.03.036. PubMed PMID: 28392100.

101. Khare R, Utidjian L, Ruth BJ, Kahn MG, Burrows E, Marsolo K, Patibandla N, Razzaghi H, Colvin R, Ranade D, Kitzmiller M, Eckrich D, Bailey LC. A longitudinal analysis of data quality in a large pediatric data research network. J Am Med Inform Assoc. 2017;24(6):1072-9. doi: 10.1093/jamia/ocx033. PubMed PMID: 28398525; PubMed Central PMCID: PMC6259665.

102. 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 20170413. doi: 10.1016/j.diabres.2017.04.004. PubMed PMID: 28448895.

103. Nissim N, Shahar Y, Elovici Y, Hripcsak G, Moskovitch R. Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif Intell Med. 2017;81:12-32. Epub 20170427. doi: 10.1016/j.artmed.2017.03.003. PubMed PMID: 28456512; PubMed Central PMCID: PMC5937023.

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

105. 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 20170706. doi: 10.1111/epi.13828. PubMed PMID: 28681416; PubMed Central PMCID: PMC6632067.

106. 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 20170608. doi: 10.1007/s41666-017-0005-6. PubMed PMID: 28776047; PubMed Central PMCID: PMC5536903.

107. 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. doi: 10.1007/s40264-017-0581-7. PubMed PMID: 28780741; PubMed Central PMCID: PMC5688206.

108. 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 20170726. PubMed PMID: 28815104; PubMed Central PMCID: PMC5543379.

109. 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 20170817. doi: 10.1016/j.jbi.2017.07.018. PubMed PMID: 28823923.

110. 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 20170913. doi: 10.1186/s12911-017-0532-3. PubMed PMID: 28903729; PubMed Central PMCID: PMC5598056.

111. 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 20170911. doi: 10.15265/iy-2017-018. PubMed PMID: 29063555; PubMed Central PMCID: PMC6239235.

112. Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R, Shah NH. Toward multimodal signal detection of adverse drug reactions. J Biomed Inform. 2017;76:41-9. Epub 20171101. doi: 10.1016/j.jbi.2017.10.013. PubMed PMID: 29081385; PubMed Central PMCID: PMC8502488.

113. 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 20171212. doi: 10.1371/journal.pone.0188377. PubMed PMID: 29232365; PubMed Central PMCID: PMC5726627.

114. 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. PubMed PMID: 29295138.

115. 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. PubMed PMID: 29295227; PubMed Central PMCID: PMC5939955.

116. Si Y, Weng C. An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria. Stud Health Technol Inform. 2017;245:950-4. PubMed PMID: 29295240; PubMed Central PMCID: PMC5893219.

117. 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. PubMed PMID: 29295408; PubMed Central PMCID: PMC5939959.

118. Kuang Z, Peissig P, Costa VS, Maclin R, Page D. Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. Kdd. 2017;2017:1537-46. doi: 10.1145/3097983.3097998. PubMed PMID: 29755826; PubMed Central PMCID: PMC5945223.

119. Blaisure JC, Ceusters WM. Improving the ‘Fitness for Purpose’ of Common Data Models through Realism Based Ontology. AMIA Annu Symp Proc. 2017;2017:440-7. Epub 20180416. PubMed PMID: 29854108; PubMed Central PMCID: PMC5977618.

120. 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 20170612. doi: 10.5334/egems.223. PubMed PMID: 29881733; PubMed Central PMCID: PMC5982846.

121. Callahan T, Barnard J, Helmkamp L, Maertens J, Kahn M. Reporting Data Quality Assessment Results: Identifying Individual and Organizational Barriers and Solutions. EGEMS (Wash DC). 2017;5(1):16. Epub 20170904. doi: 10.5334/egems.214. PubMed PMID: 29881736; PubMed Central PMCID: PMC5982990.

122. 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. doi: 10.1007/s40264-017-0589-z. PubMed PMID: 28815480.

123. 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 20171011. doi: 10.1111/dom.13115. PubMed PMID: 28898514; PubMed Central PMCID: PMC5836890.

124. 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. doi: 10.1093/jamia/ocx105. PubMed PMID: 29036387; PubMed Central PMCID: PMC7282503.

125. Hripcsak G, Albers DJ. High-fidelity phenotyping: richness and freedom from bias. J Am Med Inform Assoc. 2018;25(3):289-94. doi: 10.1093/jamia/ocx110. PubMed PMID: 29040596; PubMed Central PMCID: PMC7282504.

126. Zhou X, Bao W, Gaffney M, Shen R, Young S, Bate A. Assessing performance of sequential analysis methods for active drug safety surveillance using observational data. J Biopharm Stat. 2018;28(4):668-81. Epub 20171120. doi: 10.1080/10543406.2017.1372776. PubMed PMID: 29157113.

127. 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. PubMed PMID: 29218922.

128. Maier C, Lang L, Storf H, Vormstein P, Bieber R, Bernarding J, Herrmann T, Haverkamp C, Horki P, Laufer J, Berger F, Höning G, Fritsch HW, Schüttler 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 20180124. doi: 10.1055/s-0037-1617452. PubMed PMID: 29365340; PubMed Central PMCID: PMC5801887.

129. 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 20180201. doi: 10.1371/journal.pone.0192033. PubMed PMID: 29389968; PubMed Central PMCID: PMC5794136.

130. Whalen E, Hauben M, Bate A. Time Series Disturbance Detection for Hypothesis-Free Signal Detection in Longitudinal Observational Databases. Drug Saf. 2018;41(6):565-77. doi: 10.1007/s40264-018-0640-8. PubMed PMID: 29468602.

131. 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. doi: 10.3760/cma.j.issn.0254-6450.2018.02.019. PubMed PMID: 29495212.

132. 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. doi: 10.1073/pnas.1708282114. PubMed PMID: 29531023; PubMed Central PMCID: PMC5856503.

133. Cho S, Mohan S, Husain SA, Natarajan K. Expanding transplant outcomes research opportunities through the use of a common data model. Am J Transplant. 2018;18(6):1321-7. Epub 20180522. doi: 10.1111/ajt.14892. PubMed PMID: 29687963; PubMed Central PMCID: PMC6070138.

134. 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. doi: 10.1093/jamia/ocy032. PubMed PMID: 29718407; PubMed Central PMCID: PMC6077830.

135. 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. PubMed PMID: 29726424.

136. Pembroke CA, Fortin B, Kopek N. Comparison of survival and prognostic factors in patients treated with stereotactic body radiotherapy for oligometastases or oligoprogression. Radiother Oncol. 2018;127(3):493-500. Epub 20180504. doi: 10.1016/j.radonc.2018.04.022. PubMed PMID: 29735409.

137. 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 20180430. doi: 10.3389/fphar.2018.00435. PubMed PMID: 29760661; PubMed Central PMCID: PMC5937227.

138. 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 20180517. doi: 10.1016/j.cell.2018.04.032. PubMed PMID: 29779949; PubMed Central PMCID: PMC6015747.

139. 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 20180522. doi: 10.1002/da.22774. PubMed PMID: 29786922; PubMed Central PMCID: PMC6055726.

140. 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 20180518. PubMed PMID: 29888090; PubMed Central PMCID: PMC5961795.

141. 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 Disord. 2018;20(8):761-71. Epub 20180619. doi: 10.1111/bdi.12665. PubMed PMID: 29920885; PubMed Central PMCID: PMC6586061.

142. 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 20180625. doi: 10.1111/dom.13424. PubMed PMID: 29938883; PubMed Central PMCID: PMC6220807.

143. Tian Y, Schuemie MJ, Suchard MA. Evaluating large-scale propensity score performance through real-world and synthetic data experiments. Int J Epidemiol. 2018;47(6):2005-14. doi: 10.1093/ije/dyy120. PubMed PMID: 29939268; PubMed Central PMCID: PMC6280944.

144. 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. doi: 10.1093/jamia/ocy077. PubMed PMID: 30010902; PubMed Central PMCID: PMC6454491.

145. Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Höning G, Neumaier M, Marquardt K, Renz H, Rothkötter HJ, Schade-Brittinger C, Schmücker P, Schüttler 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 20180717. doi: 10.3414/me17-02-0025. PubMed PMID: 30016814; PubMed Central PMCID: PMC6178200.

146. 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). doi: 10.1098/rsta.2017.0356. PubMed PMID: 30082302; PubMed Central PMCID: PMC6107542.

147. 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. doi: 10.1093/jamia/ocy093. PubMed PMID: 30085008; PubMed Central PMCID: PMC6188504.

148. 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 20180727. doi: 10.2147/clep.S149961. PubMed PMID: 30100761; PubMed Central PMCID: PMC6067778.

149. 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 20180830. doi: 10.1016/j.jbi.2018.08.014. PubMed PMID: 30172760; PubMed Central PMCID: PMC6207533.

150. 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. PubMed PMID: 30306907.

151. Elkin PL, Mullin S, Sakilay S. Biomedical Informatics Investigator. Stud Health Technol Inform. 2018;255:195-9. PubMed PMID: 30306935; PubMed Central PMCID: PMC7847179.

152. 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. doi: 10.1093/jamia/ocy124. PubMed PMID: 30395248; PubMed Central PMCID: PMC6289550.

153. 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 20181113. doi: 10.1007/s10916-018-1076-5. PubMed PMID: 30421323; PubMed Central PMCID: PMC6244882.

154. 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 20181127. doi: 10.1038/sdata.2018.273. PubMed PMID: 30480666; PubMed Central PMCID: PMC6257042.

155. 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 20181207. doi: 10.1186/s12911-018-0686-7. PubMed PMID: 30526572; PubMed Central PMCID: PMC6284277.

156. 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 20181212. doi: 10.1371/journal.pone.0208796. PubMed PMID: 30540837; PubMed Central PMCID: PMC6291148.

157. 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 20180803. doi: 10.1001/jamanetworkopen.2018.1755. PubMed PMID: 30646124; PubMed Central PMCID: PMC6324274.

158. Gold S, Batch A, McClure R, Jiang G, Kharrazi H, Saripalle R, Huser V, Weng C, Roderer N, Szarfman A, Elmqvist N, Gotz D. Clinical Concept Value Sets and Interoperability in Health Data Analytics. AMIA Annu Symp Proc. 2018;2018:480-9. Epub 20181205. PubMed PMID: 30815088; PubMed Central PMCID: PMC6371254.

159. 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 20181205. PubMed PMID: 30815195; PubMed Central PMCID: PMC6371284.

160. 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 20190207. doi: 10.1016/j.jbi.2019.103119. PubMed PMID: 30738946; PubMed Central PMCID: PMC6432939.

161. 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. doi: 10.1093/jamia/ocy178. PubMed PMID: 30753493; PubMed Central PMCID: PMC6402359.

162. Pham M, Cheng F, Ramachandran K. A Comparison Study of Algorithms to Detect Drug-Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches. Drug Saf. 2019;42(6):743-50. doi: 10.1007/s40264-018-00792-0. PubMed PMID: 30762164.

163. Borghetti P, Bonù ML, Giubbolini R, Levra NG, Mazzola R, Perna M, Visani L, Meacci F, Taraborrelli M, Triggiani L, Franceschini D, Greco C, Bruni A, Magrini SM, Scotti V. Concomitant radiotherapy and TKI in metastatic EGFR- or ALK-mutated non-small cell lung cancer: a multicentric analysis on behalf of AIRO lung cancer study group. Radiol Med. 2019;124(7):662-70. Epub 20190215. doi: 10.1007/s11547-019-00999-w. PubMed PMID: 30771218.

164. 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 20190219. doi: 10.1371/journal.pone.0212463. PubMed PMID: 30779778; PubMed Central PMCID: PMC6380544.

165. 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. Circ Cardiovasc Qual Outcomes. 2019;12(3):e004741. doi: 10.1161/circoutcomes.118.004741. PubMed PMID: 30857412; PubMed Central PMCID: PMC6415677.

166. 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 20190326. doi: 10.2196/13249. PubMed PMID: 30912749; PubMed Central PMCID: PMC6454347.

167. 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 20190325. doi: 10.5334/egems.279. PubMed PMID: 30937326; PubMed Central PMCID: PMC6437693.

168. 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. PubMed PMID: 30942734.

169. 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 20190404. doi: 10.1186/s12911-019-0786-z. PubMed PMID: 30943974; PubMed Central PMCID: PMC6448187.

170. 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. doi: 10.1007/s40264-019-00827-0. PubMed PMID: 31054141; PubMed Central PMCID: PMC6834730.

171. 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 20190423. doi: 10.5334/egems.289. PubMed PMID: 31065558; PubMed Central PMCID: PMC6484368.

172. 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 20190508. doi: 10.1002/pds.4798. PubMed PMID: 31066478.

173. Johnston SS, Morton JM, Kalsekar I, Ammann EM, Hsiao CW, Reps J. Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery. Value Health. 2019;22(5):580-6. doi: 10.1016/j.jval.2019.01.011. PubMed PMID: 31104738.

174. 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. doi: 10.1093/bioinformatics/btz409. PubMed PMID: 31214700; PubMed Central PMCID: PMC6821222.

175. 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 20190622. doi: 10.1016/j.jbi.2019.103239. PubMed PMID: 31238109; PubMed Central PMCID: PMC6697579.

176. Banda JM, Sarraju A, Abbasi F, Parizo J, Pariani M, Ison H, Briskin E, Wand H, Dubois S, Jung K, Myers SA, Rader DJ, Leader JB, Murray MF, Myers KD, Wilemon K, Shah NH, Knowles JW. Finding missed cases of familial hypercholesterolemia in health systems using machine learning. NPJ Digit Med. 2019;2:23. Epub 20190411. doi: 10.1038/s41746-019-0101-5. PubMed PMID: 31304370; PubMed Central PMCID: PMC6550268.

177. 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 20190611. doi: 10.5808/GI.2019.17.2.e13. PubMed PMID: 31307128; PubMed Central PMCID: PMC6808628.

178. 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 20190717. doi: 10.1016/j.jbi.2019.103253. PubMed PMID: 31325501; PubMed Central PMCID: PMC6697565.

179. 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. doi: 10.1093/jamia/ocz113. PubMed PMID: 31365089; PubMed Central PMCID: PMC6696496.

180. Sobel RE, Blackwell W, Fram DM, Bate A. A Novel Approach to Visualize Risk Minimization Effectiveness: Peeping at the 2012 UK Proton Pump Inhibitor Label Change Using a Rapid Cycle Analysis Tool. Drug Saf. 2019;42(11):1365-76. doi: 10.1007/s40264-019-00853-y. PubMed PMID: 31368080.

181. Swerdel JN, Hripcsak G, Ryan PB. PheValuator: Development and evaluation of a phenotype algorithm evaluator. J Biomed Inform. 2019;97:103258. Epub 20190729. doi: 10.1016/j.jbi.2019.103258. PubMed PMID: 31369862; PubMed Central PMCID: PMC7736922.

182. 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 20190803. doi: 10.1016/j.jbi.2019.103264. PubMed PMID: 31386904.

183. 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 20190822. doi: 10.1002/sim.8215. PubMed PMID: 31436848; PubMed Central PMCID: PMC6771795.

184. 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. doi: 10.3233/shti190218. PubMed PMID: 31437920.

185. Ta CN, Weng C. Detecting Systemic Data Quality Issues in Electronic Health Records. Stud Health Technol Inform. 2019;264:383-7. doi: 10.3233/shti190248. PubMed PMID: 31437950; PubMed Central PMCID: PMC6857180.

186. 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. doi: 10.3233/shti190505. PubMed PMID: 31438202.

187. 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. doi: 10.3233/shti190561. PubMed PMID: 31438258.

188. 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. doi: 10.3233/shti190670. PubMed PMID: 31438365.

189. 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. doi: 10.3233/shti190676. PubMed PMID: 31438371.

190. 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 20190523. doi: 10.1016/j.ijmedinf.2019.05.018. PubMed PMID: 31445247; PubMed Central PMCID: PMC6717538.

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 20190827. doi: 10.1002/pds.4887. PubMed PMID: 31456304; PubMed Central PMCID: PMC6916409.

192. Kapsner LA, Kampf MO, Seuchter SA, Kamdje-Wabo G, Gradinger T, Ganslandt T, Mate S, Gruendner J, Kraska D, Prokosch HU. Moving Towards an EHR Data Quality Framework: The MIRACUM Approach. Stud Health Technol Inform. 2019;267:247-53. doi: 10.3233/shti190834. PubMed PMID: 31483279.

193. Haberson A, Rinner C, Schöberl A, Gall W. Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model. J Med Syst. 2019;43(10):314. Epub 20190907. doi: 10.1007/s10916-019-1436-9. PubMed PMID: 31494719; PubMed Central PMCID: PMC6732152.

194. 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 20190919. doi: 10.1016/j.jbi.2019.103293. PubMed PMID: 31542521; PubMed Central PMCID: PMC6894517.

195. 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. doi: 10.1093/jamia/ocz143. PubMed PMID: 31545380; PubMed Central PMCID: PMC7647230.

196. Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny JC, Theodoratou E, Wei WQ. Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Med Inform. 2019;7(4):e14325. Epub 20191129. doi: 10.2196/14325. PubMed PMID: 31553307; PubMed Central PMCID: PMC6911227.

197. Gruendner J, Schwachhofer T, Sippl P, Wolf N, Erpenbeck M, Gulden C, Kapsner LA, Zierk J, Mate S, Stürzl 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 20191003. doi: 10.1371/journal.pone.0223010. PubMed PMID: 31581246; PubMed Central PMCID: PMC6776354.

198. 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 20191002. doi: 10.1001/jamanetworkopen.2019.12869. PubMed PMID: 31596493; PubMed Central PMCID: PMC6802419.

199. 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 20190104. doi: 10.1093/jamiaopen/ooy059. PubMed PMID: 31633087; PubMed Central PMCID: PMC6800657.

200. 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 20191023. doi: 10.1055/s-0039-1697598. PubMed PMID: 31645076; PubMed Central PMCID: PMC6811349.

201. 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 20191024. doi: 10.1016/s0140-6736(19)32317-7. PubMed PMID: 31668726; PubMed Central PMCID: PMC6924620.

202. 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 20190926. doi: 10.1016/j.tcam.2019.100364. PubMed PMID: 31837755; PubMed Central PMCID: PMC7874511.

203. 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 20191218. doi: 10.1371/journal.pone.0226255. PubMed PMID: 31851711; PubMed Central PMCID: PMC6919633.

204. 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 20200304. PubMed PMID: 32308871; PubMed Central PMCID: PMC7153055.

205. 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. Lancet Rheumatol. 2019;1(4):e229-e36. Epub 20191107. doi: 10.1016/s2665-9913(19)30075-x. PubMed PMID: 38229379.

206. Dobbins NJ, Spital CH, Black RA, Morrison JM, de Veer B, Zampino E, Harrington RD, Britt BD, Stephens KA, Wilcox AB, Tarczy-Hornoch P, Mooney SD. Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research. J Am Med Inform Assoc. 2020;27(1):109-18. doi: 10.1093/jamia/ocz165. PubMed PMID: 31592524; PubMed Central PMCID: PMC6913227.

207. 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 20190828. doi: 10.4070/kcj.2019.0173. PubMed PMID: 31642211; PubMed Central PMCID: PMC6923236.

208. 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. doi: 10.1093/jamia/ocz173. PubMed PMID: 31651956; PubMed Central PMCID: PMC7647246.

209. 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. PubMed PMID: 31797639; PubMed Central PMCID: PMC6905508.

210. 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 20191219. doi: 10.1016/j.jbi.2019.103363. PubMed PMID: 31866433; PubMed Central PMCID: PMC7390483.

211. 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):4. Epub 20200103. doi: 10.1186/s12888-019-2418-7. PubMed PMID: 31900133; PubMed Central PMCID: PMC6942399.

212. 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 20200107. doi: 10.1371/journal.pone.0226718. PubMed PMID: 31910437; PubMed Central PMCID: PMC6946584.

213. 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 20200108. doi: 10.1055/s-0039-3402754. PubMed PMID: 31914471; PubMed Central PMCID: PMC6949163.

214. 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. doi: 10.1097/aog.0000000000003656. PubMed PMID: 31923062; PubMed Central PMCID: PMC7012337.

215. Buglione M, Jereczek-Fossa BA, Bonù ML, Franceschini D, Fodor A, Zanetti IB, Gerardi MA, Borghetti P, Tomasini D, Di Muzio NG, Oneta O, Scorsetti M, Franzese C, Romanelli P, Catalano G, Dell’Oca I, Beltramo G, Ivaldi GB, Laudati A, Magrini SM, Antognoni P. Radiosurgery and fractionated stereotactic radiotherapy in oligometastatic/oligoprogressive non-small cell lung cancer patients: Results of a multi-institutional series of 198 patients treated with “curative” intent. Lung Cancer. 2020;141:1-8. Epub 20200103. doi: 10.1016/j.lungcan.2019.12.019. PubMed PMID: 31926440.

216. 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 20200113. doi: 10.1136/bmjopen-2019-032426. PubMed PMID: 31937652; PubMed Central PMCID: PMC7044847.

217. 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. doi: 10.1007/s40264-020-00906-7. PubMed PMID: 31939079; PubMed Central PMCID: PMC7165142.

218. Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. JAMA Netw Open. 2020;3(1):e1919396. Epub 20200103. doi: 10.1001/jamanetworkopen.2019.19396. PubMed PMID: 31951272; PubMed Central PMCID: PMC6991266.

219. 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 20200302. doi: 10.1002/cpt.1785. PubMed PMID: 31956997; PubMed Central PMCID: PMC7158210.

220. 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. J Gastroenterol Hepatol. 2020;35(8):1325-30. Epub 20200129. doi: 10.1111/jgh.14983. PubMed PMID: 31970824.

221. 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 20200213. doi: 10.1371/journal.pone.0228632. PubMed PMID: 32053653; PubMed Central PMCID: PMC7017997.

222. 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. doi: 10.1001/jamainternmed.2019.7454. PubMed PMID: 32065600; PubMed Central PMCID: PMC7042845.

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438. Naranjo A, Prieto-Alhambra D, Sánchez-Martín J, Pérez-Mitru A, Brosa M. Cost-Effectiveness Analysis of Fracture Liaison Services Compared with Standard of Care in the Secondary Prevention of Fragility Fractures in Spain. Clinicoecon Outcomes Res. 2022;14:249-64. Epub 20220422. doi: 10.2147/ceor.S350790. PubMed PMID: 35492806; PubMed Central PMCID: PMC9041144.

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447. Williams RD, Reps JM, Kors JA, Ryan PB, Steyerberg E, Verhamme KM, Rijnbeek PR. Using Iterative Pairwise External Validation to Contextualize Prediction Model Performance: A Use Case Predicting 1-Year Heart Failure Risk in Patients with Diabetes Across Five Data Sources. Drug Saf. 2022;45(5):563-70. Epub 20220517. doi: 10.1007/s40264-022-01161-8. PubMed PMID: 35579818; PubMed Central PMCID: PMC9114056.

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558. Peng Y, Henke E, Sedlmayr M, Bathelt F. Towards ETL Processes to OMOP CDM Using Metadata and Modularization. Stud Health Technol Inform. 2023;302:751-2. doi: 10.3233/shti230256. PubMed PMID: 37203486.

559. Haug M, Kolde R, Oja M, Pajusalu M. Modeling Patient Treatment Trajectories Using Markov Chains for Cost Analysis. Stud Health Technol Inform. 2023;302:755-6. doi: 10.3233/shti230258. PubMed PMID: 37203488.

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563. Yang C, Fridgeirsson EA, Kors JA, Reps JM, Rijnbeek PR, Wong J, Williams RD. Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability? Stud Health Technol Inform. 2023;302:129-30. doi: 10.3233/shti230080. PubMed PMID: 37203625.

564. Williams RD, den Otter S, Reps JM, Rijnbeek PR. The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models. Stud Health Technol Inform. 2023;302:139-40. doi: 10.3233/shti230085. PubMed PMID: 37203630.

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587. Lee YJ, Kim J, Han Y, Hwang K, Choi B, Oh TR, Kim IY, Rhee H. Risk of Hyponatremia after Tramadol/Acetaminophen Single-Pill Combination Therapy: A Real-World Study Based on the OMOP-CDM Database. Drugs R D. 2023;23(3):289-96. Epub 20230728. doi: 10.1007/s40268-023-00436-4. PubMed PMID: 37507616; PubMed Central PMCID: PMC10439094.

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593. Li M, Itzel T, Montagut NE, Falconer T, Daza J, Park J, Cheong JY, Park RW, Wiest I, Ebert MP, Hripcsak G, Teufel A. Impact of concomitant cardiovascular medications on overall survival in patients with liver cirrhosis. Scand J Gastroenterol. 2023;58(12):1505-13. Epub 20230822. doi: 10.1080/00365521.2023.2239974. PubMed PMID: 37608699.

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610. Henke E, Zoch M, Kallfelz M, Ruhnke T, Leutner LA, Spoden M, Günster C, Sedlmayr M, Bathelt F. Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study. JMIR Med Inform. 2023;11:e47959. Epub 20231107. doi: 10.2196/47959. PubMed PMID: 37942786; PubMed Central PMCID: PMC10653283.

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646. Oh SW, Ko SJ, Im YS, Jung S, Choi BY, Kim JY, Park S, Choi W, Choi IY. Development of Integrated Data Quality Management System for Observational Medical Outcomes Partnership Common Data Model. Stud Health Technol Inform. 2024;310:349-53. doi: 10.3233/shti230985. PubMed PMID: 38269823.

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674. Gulden C, Macho P, Reinecke I, Strantz C, Prokosch HU, Blasini R. recruIT: A cloud-native clinical trial recruitment support system based on Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). Comput Biol Med. 2024;174:108411. Epub 20240406. doi: 10.1016/j.compbiomed.2024.108411. PubMed PMID: 38626510.

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676. Kim C, Yu DH, Baek H, Cho J, You SC, Park RW. Data Resource Profile: Health Insurance Review and Assessment Service Covid-19 Observational Medical Outcomes Partnership (HIRA Covid-19 OMOP) database in South Korea. Int J Epidemiol. 2024;53(3). doi: 10.1093/ije/dyae062. PubMed PMID: 38658170.

677. Baumgartner M, Kreiner K, Lauschensky A, Jammerbund B, Donsa K, Hayn D, Wiesmüller F, Demelius L, Modre-Osprian R, Neururer S, Slamanig G, Prantl S, Brunelli L, Pfeifer B, Pölzl G, Schreier G. Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses. Front Med (Lausanne). 2024;11:1301660. Epub 20240410. doi: 10.3389/fmed.2024.1301660. PubMed PMID: 38660421; PubMed Central PMCID: PMC11039786.

678. Krastev E, Markov E, Abanos S, Krasteva R, Tcharaktchiev D. Mapping the Bulgarian Diabetes Register to OMOP CDM: Application Results. Stud Health Technol Inform. 2024;313:28-33. doi: 10.3233/shti240007. PubMed PMID: 38682500.

679. Falgenhauer M, Lauschensky A, Kreiner K, Beyer S, Reiter K, Ziegl A, Modre-Osprian R, Pfeifer B, Neururer S, Krestan S, Wagner H, Huber A, Plaikner S, Kuppelwieser S, Widschwendter M, Schreier G. Towards an Electronic Health Prevention Record Based on HL7 FHIR and the OMOP Common Data Model. Stud Health Technol Inform. 2024;313:107-12. doi: 10.3233/shti240020. PubMed PMID: 38682513.

680. Adams WG, Gasman S, Beccia AL, Fuentes L. The Health Equity Explorer: An open-source resource for distributed health equity visualization and research across common data models. J Clin Transl Sci. 2024;8(1):e72. Epub 20240405. doi: 10.1017/cts.2024.500. PubMed PMID: 38690224; PubMed Central PMCID: PMC11058576.

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684. Burkard T, López-Güell K, Gorbachev A, Bellas L, Jödicke AM, Burn E, de Ridder M, Mosseveld M, Gratton J, Seager S, Vojinovic D, Mayer MA, Ramírez-Anguita JM, Machín AL, Oja M, Kolde R, Bonadt K, Prieto-Alhambra D, Reich C, Català M. Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model. Pharmacoepidemiol Drug Saf. 2024;33(6):e5809. doi: 10.1002/pds.5809. PubMed PMID: 38773798.

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686. Han M, Chang T, Chun HR, Jo S, Jo Y, Yu DH, Yoo S, Cho SI. Symptoms and Conditions in Children and Adults up to 90 Days after SARS-CoV-2 Infection: A Retrospective Observational Study Utilizing the Common Data Model. J Clin Med. 2024;13(10). Epub 20240515. doi: 10.3390/jcm13102911. PubMed PMID: 38792452; PubMed Central PMCID: PMC11122571.

687. Mateus P, Moonen J, Beran M, Jaarsma E, van der Landen SM, Heuvelink J, Birhanu M, Harms AGJ, Bron E, Wolters FJ, Cats D, Mei H, Oomens J, Jansen W, Schram MT, Dekker A, Bermejo I. Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. J Biomed Inform. 2024;155:104661. Epub 20240526. doi: 10.1016/j.jbi.2024.104661. PubMed PMID: 38806105.

688. Essaid S, Andre J, Brooks IM, Hohman KH, Hull M, Jackson SL, Kahn MG, Kraus EM, Mandadi N, Martinez AK, Mui JY, Zambarano B, Soares A. MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance. JAMIA Open. 2024;7(2):ooae045. Epub 20240529. doi: 10.1093/jamiaopen/ooae045. PubMed PMID: 38818114; PubMed Central PMCID: PMC11137321.

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691. Rujano MA, Boiten JW, Ohmann C, Canham S, Contrino S, David R, Ewbank J, Filippone C, Connellan C, Custers I, van Nuland R, Mayrhofer MT, Holub P, Álvarez EG, Bacry E, Hughes N, Freeberg MA, Schaffhauser B, Wagener H, Sánchez-Pla A, Bertolini G, Panagiotopoulou M. Sharing sensitive data in life sciences: an overview of centralized and federated approaches. Brief Bioinform. 2024;25(4). doi: 10.1093/bib/bbae262. PubMed PMID: 38836701; PubMed Central PMCID: PMC11151787.

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700. Patterson J, Tatonetti N. KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy. J Am Med Inform Assoc. 2024;31(8):1693-703. doi: 10.1093/jamia/ocae155. PubMed PMID: 38964369.

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705. von Gerich H, Chomutare T, Peltonen LM. Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development. Stud Health Technol Inform. 2024;315:711-2. doi: 10.3233/shti240292. PubMed PMID: 39049393.

706. Mehta N, Ribeyre BB, Dimitrov L, English LJ, Ewart C, Heinrich A, Joshi N, Munro KJ, Roadknight G, Romao L, Schilder AG, Spriggs RV, Norris R, Ross T, Tilston G. Creating a health informatics data resource for hearing health research. BMC Med Inform Decis Mak. 2024;24(1):209. Epub 20240729. doi: 10.1186/s12911-024-02589-x. PubMed PMID: 39075459; PubMed Central PMCID: PMC11285202.

707. John LH, Fridgeirsson EA, Kors JA, Reps JM, Williams RD, Ryan PB, Rijnbeek PR. Development and validation of a patient-level model to predict dementia across a network of observational databases. BMC Med. 2024;22(1):308. Epub 20240729. doi: 10.1186/s12916-024-03530-9. PubMed PMID: 39075527; PubMed Central PMCID: PMC11288076.

708. Amadi D, Kiwuwa-Muyingo S, Bhattacharjee T, Taylor A, Kiragga A, Ochola M, Kanjala C, Gregory A, Tomlin K, Todd J, Greenfield J. Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study. Online J Public Health Inform. 2024;16:e56237. Epub 20240801. doi: 10.2196/56237. PubMed PMID: 39088253; PubMed Central PMCID: PMC11327634.

709. Fruchart M, Quindroit P, Jacquemont C, Beuscart JB, Calafiore M, Lamer A. Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study. JMIR Med Inform. 2024;12:e49542. Epub 20240813. doi: 10.2196/49542. PubMed PMID: 39140273; PubMed Central PMCID: PMC11337138.

710. Ahmadi N, Zoch M, Guengoeze O, Facchinello C, Mondorf A, Stratmann K, Musleh K, Erasmus HP, Tchertov J, Gebler R, Schaaf J, Frischen LS, Nasirian A, Dai J, Henke E, Tremblay D, Srisuwananukorn A, Bornhäuser M, Röllig C, Eckardt JN, Middeke JM, Wolfien M, Sedlmayr M. How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned. Orphanet J Rare Dis. 2024;19(1):298. Epub 20240814. doi: 10.1186/s13023-024-03312-9. PubMed PMID: 39143600; PubMed Central PMCID: PMC11325822.

711. Trinh NT, Houghtaling J, Bernal FL, Hayati S, Maglanoc LA, Lupattelli A, Halvorsen L, Nordeng HM. Harmonizing Norwegian registries onto OMOP common data model: Mapping challenges and opportunities for pregnancy and COVID-19 research. Int J Med Inform. 2024;191:105602. Epub 20240814. doi: 10.1016/j.ijmedinf.2024.105602. PubMed PMID: 39153282.

712. Barclay NL, Burn E, Delmestri A, Duarte-Salles T, Golozar A, Man WY, Tan EH, Tietzova I, Prieto-Alhambra D, Newby D. Trends in incidence, prevalence, and survival of breast cancer in the United Kingdom from 2000 to 2021. Sci Rep. 2024;14(1):19069. Epub 20240817. doi: 10.1038/s41598-024-69006-1. PubMed PMID: 39153995; PubMed Central PMCID: PMC11330450.

713. French MA, Hartman P, Hayes HA, Ling L, Magel J, Thackeray A. Coverage of physical therapy assessments in the Observational Medical Outcomes Partnership Model common data model. Appl Clin Inform. 2024. Epub 20240822. doi: 10.1055/a-2401-3688. PubMed PMID: 39174009.

714. Hahn W, Ahmadi N, Hoffmann K, Eckardt JN, Sedlmayr M, Wolfien M. Synthetic Data Generation in Hematology – Paving the Way for OMOP and FHIR Integration. Stud Health Technol Inform. 2024;316:1472-6. doi: 10.3233/shti240692. PubMed PMID: 39176482.

715. Thiel J, Nesterow I, Sedlmayr M, Weidner J, Henke E. Towards Efficient Resource Utilization Forecasting in Acute Heat Events Using OMOP. Stud Health Technol Inform. 2024;316:1555-9. doi: 10.3233/shti240715. PubMed PMID: 39176503.

716. Popoff B, Delange B, Kallout J, Cuggia M, Clavier T, Bouzille G. How to Accurately Detect Renal Replacement Therapy Weaning in Intensive Care: Data Quality and Standardization Considerations for the OMOP Common Data Model. Stud Health Technol Inform. 2024;316:1584-8. doi: 10.3233/shti240724. PubMed PMID: 39176511.

717. Delange B, Bouzille G, Popoff B, Pierre-Jean M, Maamar A, Cuggia M. Intensive Care Quality Indicators Dashboard Using Observational Medical Outcomes Partnership Common Data Model. Stud Health Technol Inform. 2024;316:1605-6. doi: 10.3233/shti240730. PubMed PMID: 39176517.

718. Reis JA, Almeida JR, Almeida TM, Oliveira JL. A Chatbot-Like Platform to Enhance the Discovery of OMOP CDM Databases. Stud Health Technol Inform. 2024;316:1689-93. doi: 10.3233/shti240748. PubMed PMID: 39176535.

719. Gyrard A, Gribbon P, Hussein R, Abedian S, Bonmati LM, Cabornero GL, Manias G, Danciu G, Dalmiani S, Autexier S, van Nuland R, Jendrossek M, Avramidis I, Alvarez EG. Synergies Among Health Data Projects with Cancer Use Cases Based on Health Standards. Stud Health Technol Inform. 2024;316:1292-6. doi: 10.3233/shti240649. PubMed PMID: 39176618.

720. Papapostolou G, Chytas A, Rekkas A, Bigaki M, Zeimpekis D, Dermentzoglou L, Tortopidis G, Natsiavas P. Real-World Data in Greece: Mapping the Papageorgiou General Hospital Data to the OMOP Common Data Model. Stud Health Technol Inform. 2024;316:1324-5. doi: 10.3233/shti240656. PubMed PMID: 39176625.

721. El Ghosh M, Kalokyri V, Sambres M, Vaterkowski M, Duclos C, Tannier X, Tsakou G, Tsiknakis M, Daniel C, Dhombres F. From Syntactic to Semantic Interoperability Using a Hyperontology in the Oncology Domain. Stud Health Technol Inform. 2024;316:1385-9. doi: 10.3233/shti240670. PubMed PMID: 39176639.

722. Chytas A, Bassileiades N, Natsiavas P. Mapping OMOP-CDM to RDF: Bringing Real-World-Data to the Semantic Web Realm. Stud Health Technol Inform. 2024;316:1406-10. doi: 10.3233/shti240674. PubMed PMID: 39176643.

723. Albarran R, Lamy JB. Enhancing Healthcare Informatics: Integrating Category Theory Reasoning into OMOP-CDM Ontology Model. Stud Health Technol Inform. 2024;316:1427-31. doi: 10.3233/shti240680. PubMed PMID: 39176649.

724. Bracons Cucó G, Gil Rojas J, Peñafiel Macias P, Borrat Frigola X, Lymperidou A, Martínez-González J, Labarga A, Frid S. OntoBridge Versus Traditional ETL: Enhancing Data Standardization into CDM Formats Using Ontologies Within the DATOS-CAT Project. Stud Health Technol Inform. 2024;316:1432-6. doi: 10.3233/shti240681. PubMed PMID: 39176650.

725. Jathissa P, Rohatsch L, Sauermann S, Hussein R. OMOP-on-FHIR: A FHIR Server Development to Facilitate Data Interaction with the OMOP-CDM and FHIR for PGHD. Stud Health Technol Inform. 2024;316:157-8. doi: 10.3233/shti240367. PubMed PMID: 39176696.

726. Lymperidou A, Martinez-Gonzalez J, Bracons Cucó G, Frid S, de Cid R, Labarga A. DATOS-CAT: OMOP-Common Data Model for the Standardization, Integration and Analysis of Population-Based Biomedical Data in Catalonia. Stud Health Technol Inform. 2024;316:200-1. doi: 10.3233/shti240378. PubMed PMID: 39176707.

727. Santos RL, Cruz-Correia R. Improving Healthcare Quality with a LHS: From Patient-Generated Health Data to Evidence-Based Recommendations. Stud Health Technol Inform. 2024;316:230-4. doi: 10.3233/shti240387. PubMed PMID: 39176716.

728. Krastev E, Krasteva R, Fazli M, Tcharaktchiev D. Dementia and Alzheimer’s Disease Prevalence in Bulgaria During 2018: Nationally Representative Study. Stud Health Technol Inform. 2024;316:262-6. doi: 10.3233/shti240394. PubMed PMID: 39176723.

729. Katsch F, Hussein R, Duftschmid G. Converting Entity-Attribute-Value Data Sources to OMOP’s CDM: Lessons Learned. Stud Health Technol Inform. 2024;316:356-7. doi: 10.3233/shti240419. PubMed PMID: 39176749.

730. Berman L, Ostchega Y, Giannini J, Anandan LP, Clark E, Spotnitz M, Sulieman L, Volynski M, Ramirez A. Application of a Data Quality Framework to Ductal Carcinoma In Situ Using Electronic Health Record Data From the All of Us Research Program. JCO Clin Cancer Inform. 2024;8:e2400052. doi: 10.1200/cci.24.00052. PubMed PMID: 39178364.

731. Hussein R, Balaur I, Burmann A, Ćwiek-Kupczyńska H, Gadiya Y, Ghosh S, Jayathissa P, Katsch F, Kremer A, Lähteenmäki J, Meng Z, Morasek K, R CR, Satagopam V, Sauermann S, Scheider S, Stamm T, Muehlendyck C, Gribbon P. Getting ready for the European Health Data Space (EHDS): IDERHA’s plan to align with the latest EHDS requirements for the secondary use of health data. Open Res Eur. 2024;4:160. Epub 20240730. doi: 10.12688/openreseurope.18179.1. PubMed PMID: 39185338; PubMed Central PMCID: PMC11342032.

732. Khera R, Aminorroaya A, Dhingra LS, Thangaraj PM, Pedroso Camargos A, Bu F, Ding X, Nishimura A, Anand TV, Arshad F, Blacketer C, Chai Y, Chattopadhyay S, Cook M, Dorr DA, Duarte-Salles T, DuVall SL, Falconer T, French TE, Hanchrow EE, Kaur G, Lau WCY, Li J, Li K, Liu Y, Lu Y, Man KKC, Matheny ME, Mathioudakis N, McLeggon JA, McLemore MF, Minty E, Morales DR, Nagy P, Ostropolets A, Pistillo A, Phan TP, Pratt N, Reyes C, Richter L, Ross JS, Ruan E, Seager SL, Simon KR, Viernes B, Yang J, Yin C, You SC, Zhou JJ, Ryan PB, Schuemie MJ, Krumholz HM, Hripcsak G, Suchard MA. Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes: A Multinational, Federated Analysis of LEGEND-T2DM. J Am Coll Cardiol. 2024;84(10):904-17. doi: 10.1016/j.jacc.2024.05.069. PubMed PMID: 39197980.

733. Choi S, Kim JK, Lee J, Choi SJ, Lee YK. Limitations of NHIC claim code-based surveillance and the necessity of UDI implementation in Korea. Sci Rep. 2024;14(1):21014. Epub 20240909. doi: 10.1038/s41598-024-72063-1. PubMed PMID: 39251861; PubMed Central PMCID: PMC11383859.

734. Cha JJ, Yum Y, Kim YH, Kim EJ, Rah YC, Park E, Im GJ, Song JJ, Chae SW, Choi J, Joo HJ. Association of the protective effect of telmisartan on hearing loss among patients with hypertension. Front Neurol. 2024;15:1410389. Epub 20240827. doi: 10.3389/fneur.2024.1410389. PubMed PMID: 39258156; PubMed Central PMCID: PMC11384575.

735. Sato A, Rodriguez-Molina D, Yoshikawa-Ryan K, Yamashita S, Okami S, Liu F, Farjat A, Oberprieler NG, Kovesdy CP, Kanasaki K, Vizcaya D. Early Clinical Experience of Finerenone in People with Chronic Kidney Disease and Type 2 Diabetes in Japan-A Multi-Cohort Study from the FOUNTAIN (FinerenOne mUltidatabase NeTwork for Evidence generAtIoN) Platform. J Clin Med. 2024;13(17). Epub 20240828. doi: 10.3390/jcm13175107. PubMed PMID: 39274317.