Nigam Shah

BioOHDSI PublicationsRelated/Noteworthy Publications
Nigam Shah

Nigam Shah, MBBS, PhD
Associate Professor of Medicine, Biomedical Informatics Research
Stanford University School of Medicine
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Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Associate Director of the Center for Biomedical Informatics Research, a member of the Biomedical Informatics Graduate Program at Stanford. Dr. Shah received the AMIA New Investigator Award for 2013, was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. More at:

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 Aug;58(8):e101-e106. doi: 10.1111/epi.13828. Epub 2017 Jul 6. PubMed PMID: 28681416.

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 Jul 5;113(27):7329-36. doi: 10.1073/pnas.1510502113. Epub 2016 Jun 6. PubMed PMID: 27274072; PubMed Central PMCID: PMC4941483.

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 May 10;3:160026. doi: 10.1038/sdata.2016.26. PubMed PMID: 27193236; PubMed Central PMCID: PMC4872271.

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.

Vashisht R, Jung K, Schuler A, et al. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With MetforminAnalysis From the Observational Health Data Sciences and Informatics Initiative. JAMA Network Open. 2018;1(4):e181755. doi:10.1001/jamanetworkopen.2018.1755

Harpaz R, DuMouchel W, Shah NH, Madigan D, Ryan P, Friedman C. Novel data-mining methodologies for adverse drug event discovery and analysis. Clin Pharmacol Ther. 2012 Jun;91(6):1010-21. doi: 10.38/clpt.2012.50.

Jung K, LePendu P, Iyer S, Bauer-Mehren A, Percha B, et al. Functional evaluation of out-of-the-box text-mining tools for data-mining tasks. Journal of the American Medical Informatics Association : JAMIA. 2015; 22(1):121-31.

Odgers DJ, Harpaz R, Callahan A, Stiglic G, Shah NH. Analyzing search behavior of healthcare professionals for drug safety surveillance. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2015; :306-17.

Harpaz R, Odgers D, Gaskin G, DuMouchel W, Winnenburg R, et al. A time-indexed reference standard of adverse drug reactions. Scientific data. 2014; 1:140043.

Harpaz R, Callahan A, Tamang S, Low Y, Odgers D, et al. Text mining for adverse drug events: the promise, challenges, and state of the art. Drug safety. 2014; 37(10):777-90.

White RW, Harpaz R, Shah NH, DuMouchel W, Horvitz E.Toward enhanced pharmacovigilance using patient-generated data on the internet. Clinical pharmacology and therapeutics. 2014; 96(2):239-46.

Jung K, LePendu P, Chen WS, et al. Automated detection of off-label drug use. PLoS One. 2014 Feb 19;9(2):e89324. doi: 10.1371/journal.pone.0089324. eCollection 2014.

Cole TS, Frankovich J, Iyer S, Lependu P, Bauer-Mehren A, Shah NH. Profiling risk factors for chronic uveitis in juvenile idiopathic arthritis: a new model for EHR-based research. Pediatr Rheumatol Online J. 2013 Dec 3;11(1):45. doi: 10.1186/546-0096-11-45.

Iyer SV, Harpaz R, LePendu P, Bauer-Mehren A, Shah NH. Mining clinical text for signals of adverse drug-drug interactions. J Am Med Inform Assoc. 2014 Mar-Apr;21(2):353-62. doi: 10.1136/amiajnl-2013-001612. Epub 2013 Oct 24.

Blair DR, Lyttle CS, Mortensen JM, et al. A nondegenerate code of deleterious variants in Mendelian loci contributes to complex disease risk. Cell. 2013 Sep 26;155(1):70-80. doi: 10.1016/j.cell.2013.08.030.

Lyalina S, Percha B, LePendu P, Iyer SV, Altman RB, Shah NH. Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records. J Am Med Inform Assoc. 2013 Dec;20(e2):e297-305. doi: 10.1136/amiajnl-2013-001933. Epub 2013 Aug 16.

Leeper NJ, Bauer-Mehren A, Iyer SV, Lependu P, Olson C, Shah NH. Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes. PLoS One. 2013 May 23;8(5):e63499. doi: 10.1371/journal.pone.0063499. Print 2013.

White RW, Harpaz R, Shah NH, DuMouchel W, Horvitz E. Toward enhanced pharmacovigilance using patient-generated data on the internet. Clin Pharmacol Ther. 2014 Aug;96(2):239-46. doi: 10.1038/clpt.2014.77. Epub  Apr 8.

Bauer-Mehren A, Lependu P, Iyer SV, Harpaz R, Leeper NJ, Shah NH. Network analysis of unstructured EHR data for clinical research. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:14-8. eCollection 2013.

White RW, Tatonetti NP, Shah NH, Altman RB, Horvitz E. Web-scale pharmacovigilance: listening to signals from the crowd. J Am Med Inform Assoc. 2013 May 1;20(3):404-8. doi: 10.1136/amiajnl-2012-001482. Epub 2013 Mar 6.

LePendu P, Iyer SV, Bauer-Mehren A, et al. Pharmacovigilance using clinical notes. Clin Pharmacol Ther. 2013 Jun;93(6):547-55. doi: 10.1038/clpt.2013.47. Epub  Mar 4.

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 Jun;93(6):539-46. doi: 10.1038/clpt.2013.24. Epub  Feb 11.