1. Ryan P, Welebob E, Hartzema AG, Stang P, Overhage JM. Surveying US observational data sources and characteristics for drug safety needs. Pharmaceutical Medicine. 2010;24(4):231-8. Active Surveillance
2. Stang PE, Ryan PB, Racoosin JA, Overhage JM, Hartzema AG, Reich C, Welebob E, Scarnecchia T, Woodcock J. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership. Ann Intern Med. 2010;153(9):600-6. Epub 2010/11/03. doi: 10.7326/0003-4819-153-9-201011020-00010. PubMed PMID: 21041580. Foundation
3. Madigan D, Ryan P. What can we really learn from observational studies? The need for empirical assessment of methodology for active drug safety surveillance and comparative effectiveness research. Epidemiology. 2011;22(5):629-31. Epub 2011/08/04. doi: 10.1097/EDE.0b013e318228ca1d. PubMed PMID: 21811110. Opinion
4. Schuemie MJ. Methods for drug safety signal detection in longitudinal observational databases: LGPS and LEOPARD. Pharmacoepidemiol Drug Saf. 2011;20(3):292-9. Epub 2010/10/15. doi: 10.1002/pds.2051. PubMed PMID: 20945505. Estimation Methods
5. Overhage JM, Ryan PB, Reich CG, Hartzema AG, Stang PE. Validation of a common data model for active safety surveillance research. J Am Med Inform Assoc. 2012;19(1):54-60. Epub 2011/11/01. doi: amiajnl-2011-000376 [pii] 10.1136/amiajnl-2011-000376. PubMed PMID: 22037893; PubMed Central PMCID: PMC3240764. Active Surveillance
6. Schuemie MJ, Coloma PM, Straatman H, Herings RM, Trifirò G, Matthews JN, Prieto-Merino D, Molokhia M, Pedersen L, Gini R. Using electronic health care records for drug safety signal detection: a comparative evaluation of statistical methods. Medical care. 2012;50(10):890-7. Estimation Methods; Active Surveillance
7. Kahn MG, Raebel MA, Glanz JM, Riedlinger K, Steiner JF. A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. Medical care. 2012;50. Data Quality
8. Carnahan RM, Moores KG. Mini-Sentinel’s systematic reviews of validated methods for identifying health outcomes using administrative and claims data: methods and lessons learned. Pharmacoepidemiol Drug Saf. 2012;21 Suppl 1:82-9. Epub 2012/01/25. doi: 10.1002/pds.2321. PubMed PMID: 22262596. Phenotyping
9. Stang PE, Ryan PB, Dusetzina SB, Hartzema AG, Reich C, Overhage JM, Racoosin JA. Health outcomes of interest in observational data: issues in identifying definitions in the literature. Health Outcomes Research in Medicine. 2012;3(1):e37-e44. Phenotyping
10. Reich C, Ryan PB, Stang PE, Rocca M. Evaluation of alternative standardized terminologies for medical conditions within a network of observational healthcare databases. J Biomed Inform. 2012;45(4):689-96. Epub 2012/06/12. doi: S1532-0464(12)00069-X [pii] 10.1016/j.jbi.2012.05.002. PubMed PMID: 22683994. Vocabulary
11. Ryan PB, Madigan D, Stang PE, Overhage JM, Racoosin JA, Hartzema AG. Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership. Stat Med. 2012;31(30):4401-15. Epub 2012/09/28. doi: 10.1002/sim.5620. PubMed PMID: 23015364. Estimation Methods
12. Kahn MG, Batson D, Schilling LM. Data model considerations for clinical effectiveness researchers. Medical care. 2012;50. ETL
13. Stang PE, Ryan PB, Overhage JM, Schuemie MJ, Hartzema AG, Welebob E. Variation in choice of study design: findings from the Epidemiology Design Decision Inventory and Evaluation (EDDIE) survey. Drug Saf. 2013;36 Suppl 1:S15-25. Epub 2013/11/06. doi: 10.1007/s40264-013-0103-1. PubMed PMID: 24166220. Estimation Methods
14. Li X, Hui S, Ryan P, Rosenman M, Overhage M. Statistical visualization for assessing performance of methods for safety surveillance using electronic databases. Pharmacoepidemiol Drug Saf. 2013;22(5):503-9. Epub 2013/02/15. doi: 10.1002/pds.3419. PubMed PMID: 23408560. Active Surveillance
15. Schilling LM, Kwan BM, Drolshagen CT, Hosokawa PW, Brandt E, Pace WD, Uhrich C, Kamerick M, Bunting A, Payne PR. Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) technology infrastructure for a distributed data network. Egems. 2013;1(1). ETL
16. Schuemie MJ, Gini R, Coloma PM, Straatman H, Herings RM, Pedersen L, Innocenti F, Mazzaglia G, Picelli G, van der Lei J, Sturkenboom MC. Replication of the OMOP experiment in Europe: evaluating methods for risk identification in electronic health record databases. Drug Saf. 2013;36 Suppl 1:S159-69. Epub 2013/11/06. doi: 10.1007/s40264-013-0109-8. PubMed PMID: 24166232. Foundation
17. Harpaz R, DuMouchel W, LePendu P, Bauer-Mehren A, Ryan P, Shah NH. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. Clin Pharmacol Ther. 2013;93(6):539-46. Epub 2013/04/11. doi: clpt201324 [pii] 10.1038/clpt.2013.24. PubMed PMID: 23571771; PubMed Central PMCID: PMC3857139. Estimation Methods
18. Simpson SE, Madigan D, Zorych I, Schuemie MJ, Ryan PB, Suchard MA. Multiple self-controlled case series for large-scale longitudinal observational databases. Biometrics. 2013;69(4):893-902. Epub 2013/10/15. doi: 10.1111/biom.12078. PubMed PMID: 24117144. Estimation Methods
19. Ryan PB, Madigan D, Stang PE, Schuemie MJ, Hripcsak G. Medication-wide association studies. CPT Pharmacometrics Syst Pharmacol. 2013;2(9):e76. Epub 2014/01/23. doi: 10.1038/psp.2013.52. PubMed PMID: 24448022; PubMed Central PMCID: PMCPMC4026636. Estimation Methods
20. Suchard MA, Simpson SE, Zorych I, Ryan P, Madigan D. Massive parallelization of serial inference algorithms for a complex generalized linear model. ACM Trans Model Comput Simul. 2013;23(1). Epub 2013/01/01. doi: 10.1145/2414416.2414791. PubMed PMID: 25328363; PubMed Central PMCID: PMCPMC4201181. Foundation
21. Hartzema AG, Reich CG, Ryan PB, Stang PE, Madigan D, Welebob E, Overhage JM. Managing data quality for a drug safety surveillance system. Drug Saf. 2013;36 Suppl 1:S49-58. Epub 2013/11/06. doi: 10.1007/s40264-013-0098-7. PubMed PMID: 24166223. Data Quality
22. Ryan P, Suchard MA, Schuemie M, Madigan D. Learning from epidemiology: interpreting observational database studies for the effects of medical products. Statistics in Biopharmaceutical Research. 2013;5(3):170-9. Estimation Methods
23. Reich CG, Ryan PB, Suchard MA. The impact of drug and outcome prevalence on the feasibility and performance of analytical methods for a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S195-204. Epub 2013/11/06. doi: 10.1007/s40264-013-0112-0. PubMed PMID: 24166235. Foundation
24. Ogunyemi OI, Meeker D, Kim HE, Ashish N, Farzaneh S, Boxwala A. Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems. Med Care. 2013;51(8 Suppl 3):S45-52. Epub 2013/06/19. doi: 10.1097/MLR.0b013e31829b1e0b. PubMed PMID: 23774519. Vocabulary
25. Hansen RA, Gray MD, Fox BI, Hollingsworth JC, Gao J, Zeng P. How well do various health outcome definitions identify appropriate cases in observational studies? Drug safety. 2013;36(1):27-32. Phenotyping
26. Zhou X, Murugesan S, Bhullar H, Liu Q, Cai B, Wentworth C, Bate A. An evaluation of the THIN database in the OMOP Common Data Model for active drug safety surveillance. Drug Saf. 2013;36(2):119-34. Epub 2013/01/19. doi: 10.1007/s40264-012-0009-3. PubMed PMID: 23329543. Active Surveillance, ETL
27. DuMouchel W, Ryan PB, Schuemie MJ, Madigan D. Evaluation of disproportionality safety signaling applied to healthcare databases. Drug Saf. 2013;36 Suppl 1:S123-32. Epub 2013/11/06. doi: 10.1007/s40264-013-0106-y. PubMed PMID: 24166229. Estimation Methods
28. Madigan D, Ryan PB, Schuemie M, Stang PE, Overhage JM, Hartzema AG, Suchard MA, DuMouchel W, Berlin JA. Evaluating the impact of database heterogeneity on observational study results. Am J Epidemiol. 2013;178(4):645-51. Epub 2013/05/08. doi: 10.1093/aje/kwt010. PubMed PMID: 23648805; PubMed Central PMCID: PMCPMC3736754. Estimation Methods
29. Ryan PB, Schuemie MJ. Evaluating performance of risk identification methods through a large-scale simulation of observational data. Drug Saf. 2013;36 Suppl 1:S171-80. Epub 2013/11/06. doi: 10.1007/s40264-013-0110-2. PubMed PMID: 24166233. Estimation Methods
30. Suchard MA, Zorych I, Simpson SE, Schuemie MJ, Ryan PB, Madigan D. Empirical performance of the self-controlled case series design: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S83-93. Epub 2013/11/06. doi: 10.1007/s40264-013-0100-4. PubMed PMID: 24166226. Estimation Methods
31. Madigan D, Schuemie MJ, Ryan PB. Empirical performance of the case-control method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S73-82. Epub 2013/11/06. doi: 10.1007/s40264-013-0105-z. PubMed PMID: 24166225. Estimation Methods
32. Norén GN, Bergvall T, Ryan PB, Juhlin K, Schuemie MJ, Madigan D. Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S107-21. Epub 2013/11/06. doi: 10.1007/s40264-013-0095-x. PubMed PMID: 24166228. Estimation Methods
33. Schuemie MJ, Madigan D, Ryan PB. Empirical performance of LGPS and LEOPARD: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S133-42. Epub 2013/11/06. doi: 10.1007/s40264-013-0107-x. PubMed PMID: 24166230. Estimation Methods
34. Ryan PB, Schuemie MJ, Madigan D. Empirical performance of a self-controlled cohort method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S95-106. Epub 2013/11/06. doi: 10.1007/s40264-013-0101-3. PubMed PMID: 24166227. Estimation Methods
35. Ryan PB, Schuemie MJ, Gruber S, Zorych I, Madigan D. Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system. Drug Saf. 2013;36 Suppl 1:S59-72. Epub 2013/11/06. doi: 10.1007/s40264-013-0099-6. PubMed PMID: 24166224. Estimation Methods
36. Madigan D, Ryan PB, Schuemie M. Does design matter? Systematic evaluation of the impact of analytical choices on effect estimates in observational studies. Ther Adv Drug Saf. 2013;4(2):53-62. Epub 2013/04/01. doi: 10.1177/2042098613477445. PubMed PMID: 25083251; PubMed Central PMCID: PMCPMC4110833. Estimation Methods
37. Zorych I, Madigan D, Ryan P, Bate A. Disproportionality methods for pharmacovigilance in longitudinal observational databases. Stat Methods Med Res. 2013;22(1):39-56. Epub 2011/09/01. doi: 10.1177/0962280211403602. PubMed PMID: 21878461. Estimation Methods
38. Overhage JM, Ryan PB, Schuemie MJ, Stang PE. Desideratum for evidence based epidemiology. Drug Saf. 2013;36 Suppl 1:S5-14. Epub 2013/11/06. doi: 10.1007/s40264-013-0102-2. PubMed PMID: 24166219. Foundation
39. Huser V, Cimino JJ. Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories. AMIA Annu Symp Proc. 2013;2013:648-56. Epub 2014/02/20. PubMed PMID: 24551366; PubMed Central PMCID: PMC3900207. Vocabulary. ETL
40. Ryan PB, Schuemie MJ, Welebob E, Duke J, Valentine S, Hartzema AG. Defining a reference set to support methodological research in drug safety. Drug Saf. 2013;36 Suppl 1:S33-47. Epub 2013/11/06. v. PubMed PMID: 24166222. Foundation
41. Brown J, Kahn M, Toh S. Data quality assessment for comparative effectiveness research in distributed data networks. Medical care. 2013;51(8 0 3):S22. Data Quality
42. Ryan PB, Stang PE, Overhage JM, Suchard MA, Hartzema AG, DuMouchel W, Reich CG, Schuemie MJ, Madigan D. A comparison of the empirical performance of methods for a risk identification system. Drug Saf. 2013;36 Suppl 1:S143-58. Epub 2013/11/06. doi: 10.1007/s40264-013-0108-9. PubMed PMID: 24166231. Estimation Methods
43. Gini R, Ryan PB, Brown JS, Vacchi E, Coppola M, Cazzola W, Coloma PM, Berni R, Diallo G, Avillach P. Comparison Among EU-ADR, OMOP, Mini-Sentinel And MATRICE Strategies For Data Extraction And Management. Pharmacoepidemiology and Drug Safety. 2013;22:07030-5774. ETL
44. Katz AJ, Ryan PB, Racoosin JA, Stang PE. Assessment of case definitions for identifying acute liver injury in large observational databases. Drug Saf. 2013;36(8):651-61. Epub 2013/05/15. doi: 10.1007/s40264-013-0060-8. PubMed PMID: 23670723. Phenotyping
45. Defalco FJ, Ryan PB, Soledad Cepeda M. Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure. Health Serv Outcomes Res Methodol. 2013;13(1):58-67. Epub 2013/02/12. doi: 10.1007/s10742-012-0102-1 102 [pii]. PubMed PMID: 23396660; PubMed Central PMCID: PMC3566397. Vocabulary, Estimation Study
46. Reich CG, Ryan PB, Schuemie MJ. Alternative outcome definitions and their effect on the performance of methods for observational outcome studies. Drug Saf. 2013;36 Suppl 1:S181-93. Epub 2013/11/06. doi: 10.1007/s40264-013-0111-1. PubMed PMID: 24166234. Phenotyping; Estimation Methods
47. Lian Duan L, Khoshneshin M, Street WN, Liu M. Adverse drug effect detection. IEEE J Biomed Health Inform. 2013;17(2):305-11. Epub 2013/11/16. doi: 10.1109/TITB.2012.2227272. PubMed PMID: 24235108. Estimation Methods
48. Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D. Interpreting observational studies: why empirical calibration is needed to correct p-values. Stat Med. 2014;33(2):209-18. Epub 2013/08/01. doi: 10.1002/sim.5925. PubMed PMID: 23900808; PubMed Central PMCID: PMCPMC4285234. Foundation; Estimation Methods
49. Makadia R, Ryan PB. Transforming the Premier Perspective Hospital Database into the Observational Medical Outcomes Partnership (OMOP) Common Data Model. EGEMS (Wash DC). 2014;2(1):1110. Epub 2014/01/01. doi: 10.13063/2327-9214.1110 egems1110 [pii]. PubMed PMID: 25848597; PubMed Central PMCID: PMC4371500. ETL
50. Vilar S, Ryan PB, Madigan D, Stang PE, Schuemie MJ, Friedman C, Tatonetti NP, Hripcsak G. Similarity-based modeling applied to signal detection in pharmacovigilance. CPT Pharmacometrics Syst Pharmacol. 2014;3:e137. Epub 2014/09/25. doi: psp201435 [pii] 10.1038/psp.2014.35. PubMed PMID: 25250527; PubMed Central PMCID: PMC4211266. Estimation Methods
51. Ohno-Machado L, Agha Z, Bell DS, Dahm L, Day ME, Doctor JN, Gabriel D, Kahlon MK, Kim KK, Hogarth M. pSCANNER: patient-centered scalable national network for effectiveness research. Journal of the American Medical Informatics Association. 2014;21(4):621-6. ETL
52. Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, Milov DE, Vieland VJ, Wolf BA, Yu FB. PEDSnet: a national pediatric learning health system. Journal of the American Medical Informatics Association. 2014;21(4):602-6. ETL
53. Matcho A, Ryan P, Fife D, Reich C. Fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model. Drug Saf. 2014;37(11):945-59. Epub 2014/09/05. doi: 10.1007/s40264-014-0214-3. PubMed PMID: 25187016; PubMed Central PMCID: PMC4206771. ETL
54. Fife D, Zhu V, Voss E, Levy-Clarke G, Ryan P. Exposure to oral fluoroquinolones and the risk of retinal detachment: retrospective analyses of two large healthcare databases. Drug Saf. 2014;37(3):171-82. Epub 2014/02/15. doi: 10.1007/s40264-014-0138-y. PubMed PMID: 24526267; PubMed Central PMCID: PMCPMC3936132. Estimation Methods
55. Hansen RA, Zeng P, Ryan P, Gao J, Sonawane K, Teeter B, Westrich K, Dubois RW. Exploration of heterogeneity in distributed research network drug safety analyses. Res Synth Methods. 2014;5(4):352-70. Epub 2015/06/09. doi: 10.1002/jrsm.1121. PubMed PMID: 26052957. Estimation Methods
56. Stang P, Ryan P, Hartzema AG, Madigan D, Marc Overhage J, Welebob E, Reich CG, Scarnecchia T. Development and evaluation of infrastructure and analytic methods for systematic drug safety surveillance: lessons and resources from the observational medical outcomes partnership. Mann’s Pharmacovigilance. 2014:453-61. Active Surveillance
57. Pace WD, Fox CH, Turner White DG, Schilling LM, West DR. The DARTNet Institute: seeking a sustainable support mechanism for electronic data enabled research networks. Egems. 2014;2(2). ETL
58. Rijnbeek PR. Converting to a common data model: what is lost in translation?: Commentary on “fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model”. Drug Saf. 2014;37(11):893-6. Epub 2014/09/05. doi: 10.1007/s40264-014-0221-4. PubMed PMID: 25187018. ETL
59. Trifiro G, Coloma PM, Rijnbeek PR, Romio S, Mosseveld B, Weibel D, Bonhoeffer J, Schuemie M, van der Lei J, Sturkenboom M. Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how? J Intern Med. 2014;275(6):551-61. Epub 2014/03/19. doi: 10.1111/joim.12159. PubMed PMID: 24635221. ETL
60. Boyce RD, Ryan PB, Noren GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifiro G, Harpaz R, Overhage JM, Hartzema AG, Khayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014;37(8):557-67. Epub 2014/07/06. doi: 10.1007/s40264-014-0189-0. PubMed PMID: 24985530; PubMed Central PMCID: PMC4134480. Methods Other
61. McCormick TH, Ferrell R, Karr AF, Ryan PB. Big data, big results: Knowledge discovery in output from large-scale analytics. Statistical Analysis and Data Mining: the ASA Data Science Journal. 2014;7(5):404-12. Estimation Methods
62. Kahn MG, Brown JS, Chun AT, Davidson BN, Meeker D, Ryan PB, Schilling LM, Weiskopf NG, Williams AE, Zozus MN. Transparent reporting of data quality in distributed data networks. EGEMS (Wash DC). 2015;3(1):1052. Epub 2015/05/21. doi: 10.13063/2327-9214.1052. PubMed PMID: 25992385; PubMed Central PMCID: PMCPMC4434997. Data Quality
63. Voss EA, Ryan PB, Stang PE, Hough D, Alphs L. Switching from risperidone long-acting injectable to paliperidone long-acting injectable or oral antipsychotics: analysis of a Medicaid claims database. Int Clin Psychopharmacol. 2015;30(3):151-7. Epub 2015/03/03. doi: 10.1097/yic.0000000000000068. PubMed PMID: 25730525; PubMed Central PMCID: PMCPMC4383368. Estimation Study
64. Ling W. Study on application of data organization and common data model of the observational medical outcomes partnership in US. Chinese Journal of Pharmacovigilance. 2015;12(6):341. ETL (no link)
65. Sun H, Depraetere K, De Roo J, Mels G, De Vloed B, Twagirumukiza M, Colaert D. Semantic processing of EHR data for clinical research. J Biomed Inform. 2015;58:247-59. Epub 2015/10/31. doi: S1532-0464(15)00231-2 [pii] 10.1016/j.jbi.2015.10.009. PubMed PMID: 26515501. Referring to
66. Shahn Z, Ryan P, Madigan D. Predicting health outcomes from high‐dimensional longitudinal health histories using relational random forests. Statistical Analysis and Data Mining: the ASA Data Science Journal. 2015;8(2):128-36. Prediction Methods
67. Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, van der Lei J, Pratt N, Noren GN, Li YC, Stang PE, Madigan D, Ryan PB. Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. Stud Health Technol Inform. 2015;216:574-8. Epub 2015/08/12. PubMed PMID: 26262116; PubMed Central PMCID: PMC4815923. Foundation
68. Li Y, Ryan PB, Wei Y, Friedman C. A Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions. Drug Saf. 2015;38(10):895-908. Epub 2015/07/15. doi: 10.1007/s40264-015-0314-8 10.1007/s40264-015-0314-8 [pii]. PubMed PMID: 26153397; PubMed Central PMCID: PMC4579260. Estimation Methods
69. Vilar S, Lorberbaum T, Hripcsak G, Tatonetti NP. Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling. PLoS One. 2015;10(6):e0129974. Epub 2015/06/13. doi: 10.1371/journal.pone.0129974 PONE-D-15-04363 [pii]. PubMed PMID: 26068584; PubMed Central PMCID: PMC4466327. Estimation Methods
70. Voss EA, Ma Q, Ryan PB. The impact of standardizing the definition of visits on the consistency of multi-database observational health research. BMC Med Res Methodol. 2015;15:13. Epub 2015/04/19. doi: 10.1186/s12874-015-0001-6 10.1186/s12874-015-0001-6 [pii]. PubMed PMID: 25887092; PubMed Central PMCID: PMC4369827. Vocabulary
71. Voss EA, Makadia R, Matcho A, Ma Q, Knoll C, Schuemie M, DeFalco FJ, Londhe A, Zhu V, Ryan PB. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases. J Am Med Inform Assoc. 2015;22(3):553-64. Epub 2015/02/12. doi: ocu023 [pii] 10.1093/jamia/ocu023. PubMed PMID: 25670757; PubMed Central PMCID: PMC4457111. Foundation
72. Boland MR, Tatonetti NP, Hripcsak G. Development and validation of a classification approach for extracting severity automatically from electronic health records. J Biomed Semantics. 2015;6:14. Epub 2015/04/08. doi: 10.1186/s13326-015-0010-8 10 [pii]. PubMed PMID: 25848530; PubMed Central PMCID: PMC4386082. Prediction Study
73. FitzHenry F, Resnic FS, Robbins SL, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny ME. Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Appl Clin Inform. 2015;6(3):536-47. Epub 2015/10/09. doi: 10.4338/ACI-2014-12-CR-0121. PubMed PMID: 26448797; PubMed Central PMCID: PMC4586341. ETL
74. Xu Y, Zhou X, Suehs BT, Hartzema AG, Kahn MG, Moride Y, Sauer BC, Liu Q, Moll K, Pasquale MK, Nair VP, Bate A. A Comparative Assessment of Observational Medical Outcomes Partnership and Mini-Sentinel Common Data Models and Analytics: Implications for Active Drug Safety Surveillance. Drug Saf. 2015;38(8):749-65. Epub 2015/06/10. doi: 10.1007/s40264-015-0297-5 [pii]. PubMed PMID: 26055920. Foundation, Active Surveillance
75. Khalilia M, Choi M, Henderson A, Iyengar S, Braunstein M, Sun J. Clinical Predictive Modeling Development and Deployment through FHIR Web Services. AMIA Annu Symp Proc. 2015;2015:717-26. Epub 2015/01/01. PubMed PMID: 26958207; PubMed Central PMCID: PMC4765683. FHIR
76. Boland MR, Shahn Z, Madigan D, Hripcsak G, Tatonetti NP. Birth month affects lifetime disease risk: a phenome-wide method. J Am Med Inform Assoc. 2015;22(5):1042-53. Epub 2015/06/05. doi: ocv046 [pii] 10.1093/jamia/ocv046. PubMed PMID: 26041386; PubMed Central PMCID: PMC4986668. Estimation Study
77. Garbe E, Pigeot I. [Benefits of large healthcare databases for drug risk research] Der Nutzen grosser Gesundheitsdatenbanken fur die Arzneimittelrisikoforschung. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015;58(8):829-37. Epub 2015/06/21. doi: 10.1007/s00103-015-2185-7 [pii]. PubMed PMID: 26092163. Referring to
78. Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. Wiley Interdiscip Rev Syst Biol Med. 2016;8(2):104-22. Epub 2015/11/13. doi: 10.1002/wsbm.1323. PubMed PMID: 26559926; PubMed Central PMCID: PMC4760887. Estimation Methods
79. Weinstein RB, Schuemie MJ, Ryan PB, Stang PE. Seasonality in acute liver injury? Findings in two health care claims databases. Drug Healthc Patient Saf. 2016;8:39-48. Epub 2016/04/22. doi: 10.2147/dhps.S95399. PubMed PMID: 27099532; PubMed Central PMCID: PMCPMC4824282. Characterization Study
80. Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Robust empirical calibration of p-values using observational data. Stat Med. 2016;35(22):3883-8. Epub 2016/09/07. doi: 10.1002/sim.6977. PubMed PMID: 27592566; PubMed Central PMCID: PMC5108459. Estimation Methods
81. Boyce RD, Handler SM, Karp JF, Perera S, Reynolds CF, 3rd. Preparing Nursing Home Data from Multiple Sites for Clinical Research – A Case Study Using Observational Health Data Sciences and Informatics. EGEMS (Wash DC). 2016;4(1):1252. Epub 2016/11/29. doi: 10.13063/2327-9214.1252 egems1252 [pii]. PubMed PMID: 27891528; PubMed Central PMCID: PMC5108634. ETL
82. Huser V, DeFalco FJ, Schuemie M, Ryan PB, Shang N, Velez M, Park RW, Boyce RD, Duke J, Khare R, Utidjian L, Bailey C. Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets. EGEMS (Wash DC). 2016;4(1):1239. Epub 2017/02/06. doi: 10.13063/2327-9214.1239 egems1239 [pii]. PubMed PMID: 28154833; PubMed Central PMCID: PMC5226382. Data Quality
83. Gruber S, Tchetgen Tchetgen E. Limitations of empirical calibration of p-values using observational data. Stat Med. 2016;35(22):3869-82. Epub 2016/03/13. doi: 10.1002/sim.6936. PubMed PMID: 26970249; PubMed Central PMCID: PMC5012943. Estimation Methods
84. Agarwal V, Podchiyska T, Banda JM, Goel V, Leung TI, Minty EP, Sweeney TE, Gyang E, Shah NH. Learning statistical models of phenotypes using noisy labeled training data. Journal of the American Medical Informatics Association. 2016;23(6):1166-73. Phenotyping
85. Samwald M, Xu H, Blagec K, Empey PE, Malone DC, Ahmed SM, Ryan P, Hofer S, Boyce RD. Incidence of Exposure of Patients in the United States to Multiple Drugs for Which Pharmacogenomic Guidelines Are Available. PLoS One. 2016;11(10):e0164972. Epub 2016/10/21. doi: 10.1371/journal.pone.0164972. PubMed PMID: 27764192; PubMed Central PMCID: PMCPMC5072717 adherence to PLOS ONE policies on sharing data and materials. Characterization Study
86. Lambert CG, Mazurie AJ, Lauve NR, Hurwitz NG, Young SS, Obenchain RL, Hengartner NW, Perkins DJ, Tohen M, Kerner B. Hypothyroidism risk compared among nine common bipolar disorder therapies in a large US cohort. Bipolar disorders. 2016;18(3):247-60. Estimation Study
87. Shaddox TR, Ryan PB, Schuemie MJ, Madigan D, Suchard MA. Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare Databases. Stat Anal Data Min. 2016;9(4):260-8. Epub 2017/05/16. doi: 10.1002/sam.11324. PubMed PMID: 28503249; PubMed Central PMCID: PMCPMC5423675. Estimation Methods
88. Kahn MG, Callahan TJ, Barnard J, Bauck AE, Brown J, Davidson BN, Estiri H, Goerg C, Holve E, Johnson SG. A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data. Egems. 2016;4(1). Data Quality
89. Sen A, Chakrabarti S, Goldstein A, Wang S, Ryan PB, Weng C. GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies. J Biomed Inform. 2016;63:325-36. Epub 2016/10/25. doi: S1532-0464(16)30115-0 [pii] 10.1016/j.jbi.2016.09.003. PubMed PMID: 27600407; PubMed Central PMCID: PMC5077682. Estimation Methods
90. Kim H, Choi J, Jang I, Quach J, Ohno-Machado L. Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model. AMIA Annu Symp Proc. 2016;2016:715-23. Epub 2017/03/09. PubMed PMID: 28269868; PubMed Central PMCID: PMC5333244. Vocabulary
91. Hauben M, Aronson JK, Ferner RE. Evidence of Misclassification of Drug-Event Associations Classified as Gold Standard ‘Negative Controls’ by the Observational Medical Outcomes Partnership (OMOP). Drug Saf. 2016;39(5):421-32. Epub 2016/02/18. doi: 10.1007/s40264-016-0392-2 [pii]. PubMed PMID: 26879560. Estimation Methods
92. Garza M, Del Fiol G, Tenenbaum J, Walden A, Zozus MN. Evaluating common data models for use with a longitudinal community registry. J Biomed Inform. 2016;64:333-41. Epub 2016/12/19. doi: S1532-0464(16)30153-8 [pii] 10.1016/j.jbi.2016.10.016. PubMed PMID: 27989817; PubMed Central PMCID: PMC6810649. Vocabulary
93. Schuemie MJ, Trifirò G, Coloma PM, Ryan PB, Madigan D. Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case series. Stat Methods Med Res. 2016;25(6):2577-92. Epub 2014/04/02. doi: 10.1177/0962280214527531. PubMed PMID: 24685766. Estimation Methods
94. Gruber S, Chakravarty A, Heckbert SR, Levenson M, Martin D, Nelson JC, Psaty BM, Pinheiro S, Reich CG, Toh S, Walker AM. Design and analysis choices for safety surveillance evaluations need to be tuned to the specifics of the hypothesized drug-outcome association. Pharmacoepidemiol Drug Saf. 2016;25(9):973-81. Epub 2016/07/16. doi: 10.1002/pds.4065. PubMed PMID: 27418432. Estimation Methods
95. Gini R, Schuemie M, Brown J, Ryan P, Vacchi E, Coppola M, Cazzola W, Coloma P, Berni R, Diallo G, Oliveira JL, Avillach P, Trifiro G, Rijnbeek P, Bellentani M, van Der Lei J, Klazinga N, Sturkenboom M. Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies. EGEMS (Wash DC). 2016;4(1):1189. Epub 2016/03/26. doi: 10.13063/2327-9214.1189 egems1189 [pii]. PubMed PMID: 27014709; PubMed Central PMCID: PMC4780748. Referring to
96. Banda JM, Evans L, Vanguri RS, Tatonetti NP, Ryan PB, Shah NH. A curated and standardized adverse drug event resource to accelerate drug safety research. Sci Data. 2016;3:160026. Epub 2016/05/20. doi: 10.1038/sdata.2016.26. PubMed PMID: 27193236; PubMed Central PMCID: PMCPMC4872271. ETL; NLP
97. Yoon D, Ahn EK, Park MY, Cho SY, Ryan P, Schuemie MJ, Shin D, Park H, Park RW. Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research. Healthc Inform Res. 2016;22(1):54-8. Epub 2016/02/20. doi: 10.4258/hir.2016.22.1.54. PubMed PMID: 26893951; PubMed Central PMCID: PMC4756059. ETL, Data Quality
98. Hripcsak G, Ryan PB, Duke JD, Shah NH, Park RW, Huser V, Suchard MA, Schuemie MJ, DeFalco FJ, Perotte A, Banda JM, Reich CG, Schilling LM, Matheny ME, Meeker D, Pratt N, Madigan D. Characterizing treatment pathways at scale using the OHDSI network. Proc Natl Acad Sci U S A. 2016;113(27):7329-36. Epub 2016/06/09. doi: 1510502113 [pii] 10.1073/pnas.1510502113. PubMed PMID: 27274072; PubMed Central PMCID: PMC4941483. Characterization Methods
99. Gini R, Schuemie MJ, Mazzaglia G, Lapi F, Francesconi P, Pasqua A, Bianchini E, Montalbano C, Roberto G, Barletta V, Cricelli I, Cricelli C, Dal Co G, Bellentani M, Sturkenboom M, Klazinga N. Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners’ electronic medical records: a validation study. BMJ open. 2016;6(12):e012413. Epub 2016/12/13. doi: bmjopen-2016-012413 [pii] 10.1136/bmjopen-2016-012413. PubMed PMID: 27940627; PubMed Central PMCID: PMC5168667. Referring to
100. Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R. Toward multimodal signal detection of adverse drug reactions. Journal of biomedical informatics. 2017;76:41-9. Active Surveillance
101. Park RW. Sharing clinical big data while protecting confidentiality and security: observational health data sciences and informatics. Healthcare informatics research. 2017;23(1):1-3. ETL
102. Reisinger S, McDonald L, Carroll R, O’Hara D, Anstatt D, Ramagopalan S. A Robust, Reproducible Method For Evaluating The Suitability of Disparate Observational Databases for Pooled Analysis, Using The Omop Common Data Model. Value in Health. 2017;20(9):A776. Characterization Methods
103. Yuan Z, Voss EA, DeFalco FJ, Pan G, Ryan PB, Yannicelli D, Nessel C. Risk Prediction for Ischemic Stroke and Transient Ischemic Attack in Patients Without Atrial Fibrillation: A Retrospective Cohort Study. J Stroke Cerebrovasc Dis. 2017;26(8):1721-31. Epub 2017/04/11. doi: 10.1016/j.jstrokecerebrovasdis.2017.03.036. PubMed PMID: 28392100. Prediction Study
104. Duke JD, Ryan PB, Suchard MA, Hripcsak G, Jin P, Reich C, Schwalm MS, Khoma Y, Wu Y, Xu H, Shah NH, Banda JM, Schuemie MJ. Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network. Epilepsia. 2017;58(8):e101-e6. Epub 2017/07/07. doi: 10.1111/epi.13828. PubMed PMID: 28681416; PubMed Central PMCID: PMC6632067. Estimation Study
105. Rosenbloom ST, Carroll RJ, Warner JL, Matheny ME, Denny JC. Representing Knowledge Consistently Across Health Systems. Yearb Med Inform. 2017;26(1):139-47. Epub 2017/10/25. doi: 10.15265/IY-2017-018. PubMed PMID: 29063555; PubMed Central PMCID: PMC6239235. Referring to
106. Callahan T, Barnard J, Helmkamp L, Maertens J, Kahn M. Reporting data quality assessment results: identifying individual and organizational barriers and solutions. Egems. 2017;5(1). Data Quality
107. Ceusters W, Blaisure J. A Realism-Based View on Counts in OMOP’s Common Data Model. Stud Health Technol Inform. 2017;237:55-62. Epub 2017/05/10. PubMed PMID: 28479543. Data Quality
108. Moskovitch R, Polubriaginof F, Weiss A, Ryan P, Tatonetti N. Procedure prediction from symbolic Electronic Health Records via time intervals analytics. J Biomed Inform. 2017;75:70-82. Epub 2017/08/22. doi: S1532-0464(17)30178-8 [pii] 10.1016/j.jbi.2017.07.018. PubMed PMID: 28823923. Prediction Methods
109. Si Y, Weng C. An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria. Stud Health Technol Inform. 2017;245:950-4. Epub 2018/01/04. PubMed PMID: 29295240; PubMed Central PMCID: PMC5893219. NLP, Trial
110. Gini R, Schuemie MJ, Pasqua A, Carlini E, Profili F, Cricelli I, Dazzi P, Barletta V, Francesconi P, Lapi F, Donatini A, Dal Co G, Visca M, Bellentani M, Sturkenboom M, Klazinga N. Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations. PLoS One. 2017;12(12):e0188377. Epub 2017/12/13. doi: 10.1371/journal.pone.0188377 PONE-D-16-51291 [pii]. PubMed PMID: 29232365; PubMed Central PMCID: PMC5726627. Estimation Study
111. Dixon BE, Duke J, Grannis S. Measuring and Improving the Quality of Data Used for Syndromic Surveillance. Online Journal of Public Health Informatics. 2017;9 (1). Data Quality
112. Khare R, Utidjian L, Ruth BJ, Kahn MG, Burrows E, Marsolo K, Patibandla N, Razzaghi H, Colvin R, Ranade D. A longitudinal analysis of data quality in a large pediatric data research network. Journal of the American Medical Informatics Association. 2017;24(6):1072-9. Data Quality
113. Knowledge Base workgroup of the Observational Health Data S, Informatics c. Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. J Biomed Semantics. 2017;8(1):11. Epub 2017/03/09. doi: 10.1186/s13326-017-0115-3 [pii]. PubMed PMID: 28270198; PubMed Central PMCID: PMC5341176. Estimation Methods
114. Chakrabarti S, Sen A, Huser V, Hruby GW, Rusanov A, Albers DJ, Weng C. An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0. J Healthc Inform Res. 2017;1(1):1-18. Epub 2017/08/05. doi: 10.1007/s41666-017-0005-6. PubMed PMID: 28776047; PubMed Central PMCID: PMC5536903. Phenotyping
115. Wang Y, Desai M, Ryan PB, DeFalco FJ, Schuemie MJ, Stang PE, Berlin JA, Yuan Z. Incidence of diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors and other antihyperglycemic agents. Diabetes Res Clin Pract. 2017;128:83-90. Epub 2017/04/28. doi: 10.1016/j.diabres.2017.04.004. PubMed PMID: 28448895. Estimation Study
116. Kang T, Zhang S, Tang Y, Hruby GW, Rusanov A, Elhadad N, Weng C. EliIE: An open-source information extraction system for clinical trial eligibility criteria. J Am Med Inform Assoc. 2017;24(6):1062-71. Epub 2017/04/06. doi: 3098256 [pii] 10.1093/jamia/ocx019. PubMed PMID: 28379377; PubMed Central PMCID: PMC6259668. Trial
117. Banda JM, Halpern Y, Sontag D, Shah NH. Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. AMIA Jt Summits Transl Sci Proc. 2017;2017:48-57. Epub 2017/08/18. PubMed PMID: 28815104; PubMed Central PMCID: PMC5543379. Phenotyping
118. Ong TC, Kahn MG, Kwan BM, Yamashita T, Brandt E, Hosokawa P, Uhrich C, Schilling LM. Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading. BMC Med Inform Decis Mak. 2017;17(1):134. Epub 2017/09/15. doi: 10.1186/s12911-017-0532-3 [pii]. PubMed PMID: 28903729; PubMed Central PMCID: PMC5598056. ETL
119. You SC, Lee S, Cho SY, Park H, Jung S, Cho J, Yoon D, Park RW. Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). Stud Health Technol Inform. 2017;245:467-70. Epub 2018/01/04. PubMed PMID: 29295138. ETL
120. Schwalm M, Raoul T, Chu D, Shah U, Potdar M, Van Zandt M, Coffin G, Jouaville S. Conversion of a French Electronic Medical Record (Emr) Database into the Observational Medical Outcomes Partnership Common Data Model. Value in Health. 2017;20(9):A741. ETL
121. Jiang G, Kiefer RC, Sharma DK, Prud’hommeaux E, Solbrig HR. A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR. Stud Health Technol Inform. 2017;245:887-91. Epub 2018/01/04. PubMed PMID: 29295227; PubMed Central PMCID: PMC5939955. FHIR
122. Callahan TJ, Bauck AE, Bertoch D, Brown J, Khare R, Ryan PB, Staab J, Zozus MN, Kahn MG. A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks. EGEMS (Wash DC). 2017;5(1):8. Epub 2018/06/09. doi: 10.5334/egems.223. PubMed PMID: 29881733; PubMed Central PMCID: PMCPMC5982846. Data Quality
123. Weinstein RB, Ryan P, Berlin JA, Matcho A, Schuemie M, Swerdel J, Patel K, Fife D. Channeling in the Use of Nonprescription Paracetamol and Ibuprofen in an Electronic Medical Records Database: Evidence and Implications. Drug Saf. 2017;40(12):1279-92. Epub 2017/08/07. doi: 10.1007/s40264-017-0581-7. PubMed PMID: 28780741; PubMed Central PMCID: PMCPMC5688206. Estimation Methods
124. Jiang G, Kiefer R, Prud’hommeaux E, Solbrig HR. Building Interoperable FHIR-Based Vocabulary Mapping Services: A Case Study of OHDSI Vocabularies and Mappings. Stud Health Technol Inform. 2017;245:1327. Epub 2018/01/04. PubMed PMID: 29295408; PubMed Central PMCID: PMC5939959. FHIR
125. Ryan PB, Schuemie MJ, Ramcharran D, Stang PE. Atypical Antipsychotics and the Risks of Acute Kidney Injury and Related Outcomes Among Older Adults: A Replication Analysis and an Evaluation of Adapted Confounding Control Strategies. Drugs Aging. 2017;34(3):211-9. Epub 2017/01/27. doi: 10.1007/s40266-016-0430-x. PubMed PMID: 28124262. Estimation Study
126. Ramcharran D, Qiu H, Schuemie MJ, Ryan PB. Atypical Antipsychotics and the Risk of Falls and Fractures Among Older Adults: An Emulation Analysis and an Evaluation of Additional Confounding Control Strategies. J Clin Psychopharmacol. 2017;37(2):162-8. Epub 2017/02/23. doi: 10.1097/jcp.0000000000000647. PubMed PMID: 28225746. Estimation Study
127. Voss EA, Boyce RD, Ryan PB, van der Lei J, Rijnbeek PR, Schuemie MJ. Accuracy of an automated knowledge base for identifying drug adverse reactions. J Biomed Inform. 2017;66:72-81. Epub 2016/12/21. doi: S1532-0464(16)30179-4 [pii] 10.1016 j.jbi.2016.12.005. PubMed PMID: 27993747; PubMed Central PMCID: PMC5316295. Estimation Methods
128. Klann JG, Phillips LC, Herrick C, Joss MAH, Wagholikar KB, Murphy SN. Web services for data warehouses: OMOP and PCORnet on i2b2. J Am Med Inform Assoc. 2018;25(10):1331-8. Epub 2018/08/08. doi: 5061849 [pii] 10.1093/jamia/ocy093. PubMed PMID: 30085008; PubMed Central PMCID: PMC6188504. ETL
129. Boland MR, Parhi P, Li L, Miotto R, Carroll R, Iqbal U, Nguyen PA, Schuemie M, You SC, Smith D, Mooney S, Ryan P, Li YJ, Park RW, Denny J, Dudley JT, Hripcsak G, Gentine P, Tatonetti NP. Uncovering exposures responsible for birth season – disease effects: a global study. J Am Med Inform Assoc. 2018;25(3):275-88. Epub 2017/10/17. doi: 10.1093/jamia/ocx105. PubMed PMID: 29036387; PubMed Central PMCID: PMCPMC7282503. Characterization Study
130. Maier C, Lang L, Storf H, Vormstein P, Bieber R, Bernarding J, Herrmann T, Haverkamp C, Horki P, Laufer J, Berger F, Honing G, Fritsch HW, Schuttler J, Ganslandt T, Prokosch HU, Sedlmayr M. Towards Implementation of OMOP in a German University Hospital Consortium. Appl Clin Inform. 2018;9(1):54-61. Epub 2018/01/25. doi: 10.1055/s-0037-1617452. PubMed PMID: 29365340; PubMed Central PMCID: PMC5801887. ETL
131. Pacaci A, Gonul S, Sinaci AA, Yuksel M, Laleci Erturkmen GB. A Semantic Transformation Methodology for the Secondary Use of Observational Healthcare Data in Postmarketing Safety Studies. Front Pharmacol. 2018;9:435. Epub 2018/05/16. doi: 10.3389/fphar.2018.00435. PubMed PMID: 29760661; PubMed Central PMCID: PMC5937227. ETL
132. Yuan Z, DeFalco FJ, Ryan PB, Schuemie MJ, Stang PE, Berlin JA, Desai M, Rosenthal N. Risk of lower extremity amputations in people with type 2 diabetes mellitus treated with sodium-glucose co-transporter-2 inhibitors in the USA: A retrospective cohort study. Diabetes Obes Metab. 2018;20(3):582-9. Epub 2017/09/13. doi: 10.1111/dom.13115. PubMed PMID: 28898514; PubMed Central PMCID: PMCPMC5836890. Estimation Study
133. Hong N, Zhang N, Wu H, Lu S, Yu Y, Hou L, Lu Y, Liu H, Jiang G. Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma. BMC Med Inform Decis Mak. 2018;18(Suppl 5):116. Epub 2018/12/12. doi: 10.1186/s12911-018-0686-7 [pii]. PubMed PMID: 30526572; PubMed Central PMCID: PMC6284277. Estimation Study
134. Kubota K, Kamijima Y, Kao Yang YH, Kimura S, Chia-Cheng Lai E, Man KKC, Ryan P, Schuemie M, Stang P, Su CC, Wong ICK, Zhang Y, Setoguchi S. Penetration of new antidiabetic medications in East Asian countries and the United States: A cross-national comparative study. PLoS One. 2018;13(12):e0208796. Epub 2018/12/13. doi: 10.1371/journal.pone.0208796. PubMed PMID: 30540837; PubMed Central PMCID: PMCPMC6291148. Characterization Study
135. Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Honing G, Neumaier M, Marquardt K, Renz H, Rothkotter HJ, Schade-Brittinger C, Schmucker P, Schuttler J, Sedlmayr M, Serve H, Sohrabi K, Storf H. MIRACUM: Medical Informatics in Research and Care in University Medicine. Methods Inf Med. 2018;57(S 01):e82-e91. Epub 2018/07/18. doi: 10.3414/ME17-02-0025. PubMed PMID: 30016814; PubMed Central PMCID: PMC6178200. Referring to
136. Huser V, Kahn MG, Brown JS, Gouripeddi R. Methods for examining data quality in healthcare integrated data repositories. Pac Symp Biocomput. 2018;23:628-33. Epub 2017/12/09. doi: 9789813235533_0059 [pii]. PubMed PMID: 29218922. Data Quality
137. Levine ME, Albers DJ, Hripcsak G. Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J Biomed Inform. 2018;86:149-59. Epub 2018/09/03. doi: S1532-0464(18)30173-4 [pii] 10.1016/j.jbi.2018.08.014. PubMed PMID: 30172760; PubMed Central PMCID: PMC6207533. Estimation Methods
138. Mower J, Subramanian D, Cohen T. Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications. J Am Med Inform Assoc. 2018;25(10):1339-50. Epub 2018/07/17. doi: 5052182 [pii] 10.1093/jamia/ocy077. PubMed PMID: 30010902; PubMed Central PMCID: PMC6454491. Prediction Methods
139. Matcho A, Ryan P, Fife D, Gifkins D, Knoll C, Friedman A. Inferring pregnancy episodes and outcomes within a network of observational databases. PLoS One. 2018;13(2):e0192033. Epub 2018/02/02. doi: 10.1371/journal.pone.0192033. PubMed PMID: 29389968; PubMed Central PMCID: PMCPMC5794136. Phenotyping
140. Schuemie MJ, Ryan PB, Hripcsak G, Madigan D, Suchard MA. Improving reproducibility by using high-throughput observational studies with empirical calibration. Philos Trans A Math Phys Eng Sci. 2018;376(2128). Epub 2018/08/08. doi: rsta.2017.0356 [pii] 10.1098/rsta.2017.0356. PubMed PMID: 30082302; PubMed Central PMCID: PMC6107542. Foundation
141. Seneviratne MG, Banda JM, Brooks JD, Shah NH, Hernandez-Boussard TM. Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records. AMIA Annu Symp Proc. 2018;2018:1498-504. Epub 2019/03/01. PubMed PMID: 30815195; PubMed Central PMCID: PMC6371284. Prediction Study
142. Hripcsak G, Albers DJ. High-fidelity phenotyping: richness and freedom from bias. Journal of the American Medical Informatics Association. 2018;25(3):289-94. Phenotyping
143. Cepeda MS, Reps J, Ryan P. Finding factors that predict treatment-resistant depression: Results of a cohort study. Depress Anxiety. 2018;35(7):668-73. Epub 2018/05/23. doi: 10.1002/da.22774. PubMed PMID: 29786922; PubMed Central PMCID: PMCPMC6055726. Prediction Study
144. Cho S, Mohan S, Husain SA, Natarajan K. Expanding transplant outcomes research opportunities through the use of a common data model. American Journal of Transplantation. 2018;18(6):1321-7. ETL
145. Yang Y, Zhou X, Gao S, Lin H, Xie Y, Feng Y, Huang K, Zhan S. Evaluation of Electronic Healthcare Databases for Post-Marketing Drug Safety Surveillance and Pharmacoepidemiology in China. Drug Saf. 2018;41(1):125-37. Epub 2017/08/18. doi: 10.1007/s40264-017-0589-z 10.1007/s40264-017-0589-z [pii]. PubMed PMID: 28815480. Vocabulary
146. Tian Y, Schuemie MJ, Suchard MA. Evaluating large-scale propensity score performance through real-world and synthetic data experiments. International journal of epidemiology. 2018;47(6):2005-14. Estimation Methods
147. Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data. Proc Natl Acad Sci U S A. 2018;115(11):2571-7. Epub 2018/03/14. doi: 1708282114 [pii] 10.1073/pnas.1708282114. PubMed PMID: 29531023; PubMed Central PMCID: PMC5856503. Estimation Methods
148. Hripcsak G, Levine ME, Shang N, Ryan PB. Effect of vocabulary mapping for conditions on phenotype cohorts. J Am Med Inform Assoc. 2018;25(12):1618-25. Epub 2018/11/06. doi: 5159502 [pii] 10.1093/jamia/ocy124. PubMed PMID: 30395248; PubMed Central PMCID: PMC6289550. Phenotyping
149. Polubriaginof FCG, Vanguri R, Quinnies K, Belbin GM, Yahi A, Salmasian H, Lorberbaum T, Nwankwo V, Li L, Shervey MM, Glowe P, Ionita-Laza I, Simmerling M, Hripcsak G, Bakken S, Goldstein D, Kiryluk K, Kenny EE, Dudley J, Vawdrey DK, Tatonetti NP. Disease Heritability Inferred from Familial Relationships Reported in Medical Records. Cell. 2018;173(7):1692-704 e11. Epub 2018/05/22. doi: S0092-8674(18)30525-7 [pii] 10.1016/j.cell.2018.04.032. PubMed PMID: 29779949; PubMed Central PMCID: PMC6015747. Characterization Study, Phenotyping
150. Reps J, Hsiao C, Johnston S. Development and Validation of a Model to Predict Cessation of Antihyperglycemic Medication after Laparoscopic Bariatric Surgery Among Patients with Type 2 Diabetes. Value in Health. 2018;21:S249-S50. Prediction Study
151. Reps JM, Schuemie MJ, Suchard MA, Ryan PB, Rijnbeek PR. Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data. J Am Med Inform Assoc. 2018;25(8):969-75. Epub 2018/05/03. doi: 10.1093/jamia/ocy032. PubMed PMID: 29718407; PubMed Central PMCID: PMCPMC6077830. Foundation; Prediction Methods; Prediction Study
152. Sun YX, Pei ZC, Zhan SY. [Data harmonization and sharing in study cohorts of respiratory diseases]. Zhonghua Liu Xing Bing Xue Za Zhi. 2018;39(2):233-9. Epub 2018/03/02. doi: 10.3760 cma.j.issn.0254-6450.2018.02.019. PubMed PMID: 29495212. Vocabulary
153. Butler A, Wei W, Yuan C, Kang T, Si Y, Weng C. The Data Gap in the EHR for Clinical Research Eligibility Screening. AMIA Jt Summits Transl Sci Proc. 2018;2017:320-9. Epub 2018/06/12. PubMed PMID: 29888090; PubMed Central PMCID: PMC5961795. NLP, Vocabulary
154. Nestsiarovich A, Mazurie AJ, Hurwitz NG, Kerner B, Nelson SJ, Crisanti AS, Tohen M, Krall RL, Perkins DJ, Lambert CG. Comprehensive comparison of monotherapies for psychiatric hospitalization risk in bipolar disorders. Bipolar disorders. 2018;20(8):761-71. Estimation Study
155. Ryan PB, Buse JB, Schuemie MJ, DeFalco F, Yuan Z, Stang PE, Berlin JA, Rosenthal N. Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non-SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real-world meta-analysis of 4 observational databases (OBSERVE-4D). Diabetes Obes Metab. 2018;20(11):2585-97. Epub 2018/06/26. doi: 10.1111/dom.13424. PubMed PMID: 29938883; PubMed Central PMCID: PMCPMC6220807. Estimation Study
156. Liyanage H, Liaw ST, Jonnagaddala J, Hinton W, de Lusignan S. Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. Stud Health Technol Inform. 2018;255:60-4. Epub 2018/10/12. PubMed PMID: 30306907. Referring to
157. Ta CN, Dumontier M, Hripcsak G, Tatonetti NP, Weng C. Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records. Sci Data. 2018;5:180273. Epub 2018/11/28. doi: sdata2018273 [pii] 10.1038/sdata.2018.273. PubMed PMID: 30480666; PubMed Central PMCID: PMC6257042. ETL
158. Rinner C, Gezgin D, Wendl C, Gall W. A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data. Stud Health Technol Inform. 2018;248:94-9. Epub 2018/05/05. PubMed PMID: 29726424. ETL
159. Elkin PL, Mullin S, Sakilay S. Biomedical Informatics Investigator. Stud Health Technol Inform. 2018;255:195-9. Epub 2018/10/12. PubMed PMID: 30306935; PubMed Central PMCID: PMC7847179. Vocabulary
160. Vashisht R, Jung K, Schuler A, Banda JM, Park RW, Jin S, Li L, Dudley JT, Johnson KW, Shervey MM, Xu H, Wu Y, Natrajan K, Hripcsak G, Jin P, Van Zandt M, Reckard A, Reich CG, Weaver J, Schuemie MJ, Ryan PB, Callahan A, Shah NH. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative. JAMA Netw Open. 2018;1(4):e181755. Epub 2019/01/16. doi: 2698083 [pii] 10.1001/jamanetworkopen.2018.1755. PubMed PMID: 30646124; PubMed Central PMCID: PMC6324274. Estimation Study
161. Lai EC, Ryan P, Zhang Y, Schuemie M, Hardy NC, Kamijima Y, Kimura S, Kubota K, Man KK, Cho SY, Park RW, Stang P, Su CC, Wong IC, Kao YY, Setoguchi S. Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges. Clin Epidemiol. 2018;10:875-85. Epub 2018/08/14. doi: 10.2147/clep.S149961. PubMed PMID: 30100761; PubMed Central PMCID: PMCPMC6067778. ETL; Data Quality
162. Zhang X, Wang L, Miao S, Xu H, Yin Y, Zhu Y, Dai Z, Shan T, Jing S, Wang J, Zhang X, Huang Z, Wang Z, Guo J, Liu Y. Analysis of treatment pathways for three chronic diseases using OMOP CDM. J Med Syst. 2018;42(12):260. Epub 2018/11/14. doi: 10.1007/s10916-018-1076-5 [pii]. PubMed PMID: 30421323; PubMed Central PMCID: PMC6244882. Characterization Study
163. Dixon BE, Wen C, French T, Williams J, Grannis SJ. Advanced Visualization and Analysis of Data Quality for Syndromic Surveillance Systems. Online Journal of Public Health Informatics. 2018;10(1). Data Quality
164. Johnston SS, Morton JM, Kalsekar I, Ammann EM, Hsiao C-W, Reps J. Using machine learning applied to real-world healthcare data for predictive analytics: an applied example in bariatric surgery. Value in Health. 2019;22(5):580-6. Prediction Study
165. Lima DM, Rodrigues-Jr JF, Traina AJM, Pires FA, Gutierrez MA. Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. Stud Health Technol Inform. 2019;264:233-7. Epub 2019/08/24. doi: SHTI190218 [pii] 10.3233/SHTI190218. PubMed PMID: 31437920. ETL
166. Reps JM, Rijnbeek PR, Ryan PB. Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status. J Biomed Inform. 2019;97:103264. Epub 2019/08/07. doi: S1532-0464(19)30183-2 [pii] 10.1016/j.jbi.2019.103264. PubMed PMID: 31386904. Phenotyping, Prediction Study
167. Haberson A, Rinner C, Gall W. Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study. Stud Health Technol Inform. 2019;258:151-2. Epub 2019/04/04. PubMed PMID: 30942734. ETL
168. Belenkaya R, Gurley M, Dymshyts D, Araujo S, Williams A, Chen R, Reich C. Standardized Observational Cancer Research Using the OMOP CDM Oncology Module. Stud Health Technol Inform. 2019;264:1831-2. Epub 2019/08/24. doi: SHTI190670 [pii] 10.3233/SHTI190670. PubMed PMID: 31438365. ETL, Vocabulary
169. Glicksberg BS, Oskotsky B, Giangreco N, Thangaraj PM, Rudrapatna V, Datta D, Frazier R, Lee N, Larsen R, Tatonetti NP, Butte AJ. ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. JAMIA open. 2019;2(1):10-4. Epub 2019/10/22. doi: 10.1093/jamiaopen/ooy059. PubMed PMID: 31633087; PubMed Central PMCID: PMC6800657. Methods Other
170. Ross EG, Jung K, Dudley JT, Li L, Leeper NJ, Shah NH. Predicting future cardiovascular events in patients with peripheral artery disease using electronic health record data. Circulation: Cardiovascular Quality and Outcomes. 2019;12(3):e004741. Prediction Study
171. Schuemie MJ, Ryan PB, Man KKC, Wong ICK, Suchard MA, Hripcsak G. A plea to stop using the case-control design in retrospective database studies. Stat Med. 2019;38(22):4199-208. Epub 2019/08/23. doi: 10.1002/sim.8215. PubMed PMID: 31436848; PubMed Central PMCID: PMCPMC6771795. Estimation Methods, Position
172. Swerdel JN, Hripcsak G, Ryan PB. PheValuator: Development and evaluation of a phenotype algorithm evaluator. J Biomed Inform. 2019;97:103258. Epub 2019/08/02. doi: S1532-0464(19)30177-7 [pii] 10.1016/j.jbi.2019.103258. PubMed PMID: 31369862; PubMed Central PMCID: PMC7736922. Phenotyping
173. Glicksberg BS, Oskotsky B, Thangaraj PM, Giangreco N, Badgeley MA, Johnson KW, Datta D, Rudrapatna VA, Rappoport N, Shervey MM, Miotto R, Goldstein TC, Rutenberg E, Frazier R, Lee N, Israni S, Larsen R, Percha B, Li L, Dudley JT, Tatonetti NP, Butte AJ. PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinformatics. 2019;35(21):4515-8. Epub 2019/06/20. doi: 5520433 [pii] 10.1093/bioinformatics/btz409. PubMed PMID: 31214700; PubMed Central PMCID: PMC6821222. Phenotyping
174. Kwong M, Gardner HL, Dieterle N, Rentko V. Optimization of Electronic Medical Records for Data Mining Using a Common Data Model. Top Companion Anim Med. 2019;37:100364. Epub 2019/12/16. doi: S1938-9736(19)30101-1 [pii] 10.1016/j.tcam.2019.100364. PubMed PMID: 31837755; PubMed Central PMCID: PMC7874511. ETL
175. Burn E, Weaver J, Morales D, Prats-Uribe A, Delmestri A, Strauss VY, He Y, Robinson DE, Pinedo-Villanueva R, Kolovos S, Duarte-Salles T, Sproviero W, Yu D, Van Speybroeck M, Williams R, John LH, Hughes N, Sena AG, Costello R, Birlie B, Culliford D, O’Leary C, Morgan H, Burkard T, Prieto-Alhambra D, Ryan P. Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study. The Lancet Rheumatology. 2019;1(4):e229-e36. doi: https://doi.org/10.1016 S2665-9913(19)30075-X. Estimation Study
176. Kapsner LA, Kampf MO, Seuchter SA, Kamdje-Wabo G, Gradinger T, Ganslandt T, Mate S, Gruendner J, Kraska D, Prokosch H-U. Moving towards an EHR data quality framework: the MIRACUM approach. German Medical Data Sciences: Shaping Change–Creative Solutions for Innovative Medicine: IOS Press; 2019. p. 247-53. Data Quality
177. Shang N, Liu C, Rasmussen LV, Ta CN, Caroll RJ, Benoit B, Lingren T, Dikilitas O, Mentch FD, Carrell DS, Wei WQ, Luo Y, Gainer VS, Kullo IJ, Pacheco JA, Hakonarson H, Walunas TL, Denny JC, Wiley K, Murphy SN, Hripcsak G, Weng C. Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. J Biomed Inform. 2019;99:103293. Epub 2019/09/23. doi: S1532-0464(19)30212-6 [pii]10.1016/j.jbi.2019.103293. PubMed PMID: 31542521; PubMed Central PMCID: PMC6894517. Phenotyping
178. Weeks J, Pardee R. Learning to Share Health Care Data: A Brief Timeline of Influential Common Data Models and Distributed Health Data Networks in U.S. Health Care Research. EGEMS (Wash DC). 2019;7(1):4. Epub 2019/04/03. doi: 10.5334/egems.279. PubMed PMID: 30937326; PubMed Central PMCID: PMC6437693. Referring to
179. Gruendner J, Schwachhofer T, Sippl P, Wolf N, Erpenbeck M, Gulden C, Kapsner LA, Zierk J, Mate S, Sturzl M, Croner R, Prokosch HU, Toddenroth D. KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLoS One. 2019;14(10):e0223010. Epub 2019/10/04. doi: 10.1371/journal.pone.0223010 PONE-D-19-12555 [pii]. PubMed PMID: 31581246; PubMed Central PMCID: PMC6776354. Prediction Methods, FHIR
180. Chandran U, Reps J, Stang PE, Ryan PB. Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases. PLoS One. 2019;14(12):e0226255. Epub 2019/12/19. doi: 10.1371/journal.pone.0226255. PubMed PMID: 31851711; PubMed Central PMCID: PMCPMC6919633. Prediction Study
181. Lynch KE, Deppen SA, DuVall SL, Viernes B, Cao A, Park D, Hanchrow E, Hewa K, Greaves P, Matheny ME. Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach. Appl Clin Inform. 2019;10(5):794-803. Epub 2019/10/24. doi: 10.1055/s-0039-1697598. PubMed PMID: 31645076; PubMed Central PMCID: PMC6811349. Data Quality
182. Reps JM, Rijnbeek PR, Ryan PB. Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data. Drug Saf. 2019;42(11):1377-86. Epub 2019/05/06. doi: 10.1007/s40264-019-00827-0 10.1007/s40264-019-00827-0 [pii]. PubMed PMID: 31054141; PubMed Central PMCID: PMC6834730. Prediction Study
183. Warner JL, Dymshyts D, Reich CG, Gurley MJ, Hochheiser H, Moldwin ZH, Belenkaya R, Williams AE, Yang PC. HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model. J Biomed Inform. 2019;96:103239. Epub 2019/06/27. doi: S1532-0464(19)30158-3 [pii] 10.1016/j.jbi.2019.103239. PubMed PMID: 31238109; PubMed Central PMCID: PMC6697579. Vocabulary
184. Shin SJ, You SC, Park YR, Roh J, Kim JH, Haam S, Reich CG, Blacketer C, Son DS, Oh S, Park RW. Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study. J Med Internet Res. 2019;21(3):e13249. Epub 2019/03/27. doi: v21i3e13249 [pii] 10.2196/13249. PubMed PMID: 30912749; PubMed Central PMCID: PMC6454347. Vocabulary
185. Shin SJ, You SC, Roh J, Park YR, Park RW. Genomic Common Data Model for Biomedical Data in Clinical Practice. Stud Health Technol Inform. 2019;264:1843-4. Epub 2019/08/24. doi: SHTI190676 [pii] 10.3233/SHTI190676. PubMed PMID: 31438371. Vocabulary
186. Banda JM. Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data. Genomics Inform. 2019;17(2):e13. Epub 2019/07/16. doi: GI.2019.17.2.e13 [pii] 10.5808/GI.2019.17.2.e13. PubMed PMID: 31307128; PubMed Central PMCID: PMC6808628. Vocabulary
187. Banda JM, Sarraju A, Abbasi F, Parizo J, Pariani M, Ison H, Briskin E, Wand H, Dubois S, Jung K. Finding missed cases of familial hypercholesterolemia in health systems using machine learning. NPJ digital medicine. 2019;2(1):1-8. Phenotyping
188. Bartlett VL, Dhruva SS, Shah ND, Ryan P, Ross JS. Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence. JAMA Netw Open. 2019;2(10):e1912869. Epub 2019/10/10. doi: 2752575 [pii] 10.1001/jamanetworkopen.2019.12869. PubMed PMID: 31596493; PubMed Central PMCID: PMC6802419. Estimation Methods
189. Haberson A, Rinner C, Schoberl A, Gall W. Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model. J Med Syst. 2019;43(10):314. Epub 2019/09/09. doi: 10.1007/s10916-019-1436-9 10.1007/s10916-019-1436-9 [pii]. PubMed PMID: 31494719; PubMed Central PMCID: PMC6732152. ETL
190. Hripcsak G, Shang N, Peissig PL, Rasmussen LV, Liu C, Benoit B, Carroll RJ, Carrell DS, Denny JC, Dikilitas O, Gainer VS, Howell KM, Klann JG, Kullo IJ, Lingren T, Mentch FD, Murphy SN, Natarajan K, Pacheco JA, Wei WQ, Wiley K, Weng C. Facilitating phenotype transfer using a common data model. J Biomed Inform. 2019;96:103253. Epub 2019/07/22. doi: S1532-0464(19)30172-8 [pii] 10.1016/j.jbi.2019.103253. PubMed PMID: 31325501; PubMed Central PMCID: PMC6697565. Phenotyping
191. Wang L, Voss EA, Weaver J, Hester L, Yuan Z, DeFalco F, Schuemie MJ, Ryan PB, Sun D, Freedman A, Alba M, Lind J, Meininger G, Berlin JA, Rosenthal N. Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co-transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases. Pharmacoepidemiol Drug Saf. 2019;28(12):1620-8. Epub 2019/08/29. doi: 10.1002/pds.4887. PubMed PMID: 31456304; PubMed Central PMCID: PMCPMC6916409. Estimation Study
192. Sharma H, Mao C, Zhang Y, Vatani H, Yao L, Zhong Y, Rasmussen L, Jiang G, Pathak J, Luo Y. Developing a portable natural language processing based phenotyping system. BMC Med Inform Decis Mak. 2019;19(Suppl 3):78. Epub 2019/04/05. doi: 10.1186/s12911-019-0786-z 10.1186/s12911-019-0786-z [pii]. PubMed PMID: 30943974; PubMed Central PMCID: PMC6448187. NLP, Phenotyping
193. Ta CN, Weng C. Detecting systemic data quality issues in electronic health records. Studies in health technology and informatics. 2019;264:383. Data Quality
194. Klann JG, Joss MAH, Embree K, Murphy SN. Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model. PLoS One. 2019;14(2):e0212463. Epub 2019/02/20. doi: 10.1371/journal.pone.0212463 PONE-D-18-34751 [pii]. PubMed PMID: 30779778; PubMed Central PMCID: PMC6380544. ETL
195. Rogers JR, Callahan TJ, Kang T, Bauck A, Khare R, Brown JS, Kahn MG, Weng C. A Data Element-Function Conceptual Model for Data Quality Checks. EGEMS (Wash DC). 2019;7(1):17. Epub 2019/05/09. doi: 10.5334/egems.289. PubMed PMID: 31065558; PubMed Central PMCID: PMC6484368. Data Quality
196. Yuan C, Ryan PB, Ta C, Guo Y, Li Z, Hardin J, Makadia R, Jin P, Shang N, Kang T, Weng C. Criteria2Query: a natural language interface to clinical databases for cohort definition. J Am Med Inform Assoc. 2019;26(4):294-305. Epub 2019/02/13. doi: 5308980 [pii] 10.1093/jamia/ocy178. PubMed PMID: 30753493; PubMed Central PMCID: PMC6402359. Methods Other
197. Rasmussen LV, Brandt PS, Jiang G, Kiefer RC, Pacheco JA, Adekkanattu P, Ancker JS, Wang F, Xu Z, Pathak J, Luo Y. Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA Annu Symp Proc. 2019;2019:755-64. Epub 2020/04/21. PubMed PMID: 32308871; PubMed Central PMCID: PMC7153055. Phenotyping
198. Suchard MA, Schuemie MJ, Krumholz HM, You SC, Chen R, Pratt N, Reich CG, Duke J, Madigan D, Hripcsak G, Ryan PB. Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis. Lancet. 2019;394(10211):1816-26. Epub 2019/11/02. doi: 10.1016/s0140-6736(19)32317-7. PubMed PMID: 31668726; PubMed Central PMCID: PMCPMC6924620. Estimation Study
199. Guo GN, Jonnagaddala J, Farshid S, Huser V, Reich C, Liaw ST. Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings. J Am Med Inform Assoc. 2019;26(11):1237-46. Epub 2019/09/24. doi: 5572827 [pii] 10.1093/jamia/ocz143. PubMed PMID: 31545380; PubMed Central PMCID: PMC7647230. ETL
200. Schuemie MJ, Madigan D, Ryan PB, Reich C, Suchard MA, Berlin JA, Hripcsak G. Comment on “How pharmacoepidemiology networks can manage distributed analyses to improve replicability and transparency and minimize bias”. Pharmacoepidemiol Drug Saf. 2019;28(7):1032-3. Epub 2019/05/09. doi: 10.1002/pds.4798. PubMed PMID: 31066478. Position
201. Viernes B, Lynch KE, South B, Coronado G, DuVall SL. Characterizing VA Users with the OMOP Common Data Model. Stud Health Technol Inform. 2019;264:1614-5. Epub 2019/08/24. doi: SHTI190561 [pii] 10.3233/SHTI190561. PubMed PMID: 31438258. Characterization Study
202. Polubriaginof FCG, Ryan P, Salmasian H, Shapiro AW, Perotte A, Safford MM, Hripcsak G, Smith S, Tatonetti NP, Vawdrey DK. Challenges with quality of race and ethnicity data in observational databases. J Am Med Inform Assoc. 2019;26(8-9):730-6. Epub 2019/08/01. doi: 10.1093/jamia/ocz113. PubMed PMID: 31365089; PubMed Central PMCID: PMCPMC6696496. Characterization Study
203. Meystre SM, Heider PM, Kim Y, Aruch DB, Britten CD. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019;129:13-9. Epub 2019/08/25. doi: S1386-5056(18)31052-9 [pii] 10.1016/j.ijmedinf.2019.05.018. PubMed PMID: 31445247; PubMed Central PMCID: PMC6717538. Trial
204. Jiang G, Yu Y, Kingsbury PR, Shah N. Augmenting Medical Device Evaluation Using a Reusable Unique Device Identifier Interoperability Solution Based on the OHDSI Common Data Model. Stud Health Technol Inform. 2019;264:1502-3. Epub 2019/08/24. doi: SHTI190505 [pii] 10.3233/SHTI190505. PubMed PMID: 31438202. Vocabulary
205. Yu Y, Ruddy KJ, Hong N, Tsuji S, Wen A, Shah ND, Jiang G. ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model. J Biomed Inform. 2019;91:103119. Epub 2019/02/11. doi: S1532-0464(19)30037-1 [pii] 10.1016/j.jbi.2019.103119. PubMed PMID: 30738946; PubMed Central PMCID: PMC6432939. ETL
206. Reps JM, Cepeda MS, Ryan PB. Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data. PLoS One. 2020;15(2):e0228632. Epub 2020/02/14. doi: 10.1371/journal.pone.0228632. PubMed PMID: 32053653; PubMed Central PMCID: PMCPMC7017997. Prediction Study
207. Chen R, Ryan P, Natarajan K, Falconer T, Crew KD, Reich CG, Vashisht R, Randhawa G, Shah NH, Hripcsak G. Treatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data Network. JCO Clin Cancer Inform. 2020;4:171-83. Epub 2020/03/07. doi: 10.1200/cci.19.00107. PubMed PMID: 32134687; PubMed Central PMCID: PMCPMC7113074. Characterization Study
208. Kern DM, Cepeda MS, Defalco F, Etropolski M. Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019. BMC psychiatry. 2020;20(1):1-10. Characterization Study
209. Kern DM, Cepeda MS. Treatment patterns and comorbid burden of patients newly diagnosed with multiple sclerosis in the United States. BMC neurology. 2020;20(1):1-8. Characterization Study
210. Averitt AJ, Weng C, Ryan P, Perotte A. Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. NPJ Digit Med. 2020;3:67. Epub 2020/05/16. doi: 10.1038/s41746-020-0277-8. PubMed PMID: 32411828; PubMed Central PMCID: PMCPMC7214444. Estimation Methods, Trial
211. Lamer A, Depas N, Doutreligne M, Parrot A, Verloop D, Defebvre MM, Ficheur G, Chazard E, Beuscart JB. Transforming French Electronic Health Records into the Observational Medical Outcome Partnership’s Common Data Model: A Feasibility Study. Appl Clin Inform. 2020;11(1):13-22. Epub 2020/01/09. doi: 10.1055/s-0039-3402754. PubMed PMID: 31914471; PubMed Central PMCID: PMC6949163. ETL
212. Ryu B, Yoon E, Kim S, Lee S, Baek H, Yi S, Na HY, Kim JW, Baek RM, Hwang H, Yoo S. Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer. J Med Internet Res. 2020;22(12):e18526. Epub 2020/12/10. doi: v22i12e18526 [pii] 10.2196/18526. PubMed PMID: 33295294; PubMed Central PMCID: PMC7758167. ETL, NLP
213. Brandt PS, Kiefer RC, Pacheco JA, Adekkanattu P, Sholle ET, Ahmad FS, Xu J, Xu Z, Ancker JS, Wang F, Luo Y, Jiang G, Pathak J, Rasmussen LV. Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language. Learn Health Syst. 2020;4(4):e10233. Epub 2020/10/22. doi: 10.1002/lrh2.10233 LRH210233 [pii]. PubMed PMID: 33083538; PubMed Central PMCID: PMC7556419. Phenotyping
214. Syed S, Baghal A, Prior F, Zozus M, Al-Shukri S, Syeda HB, Garza M, Begum S, Gates K, Syed M, Sexton KW. Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models. Healthc Inform Res. 2020;26(3):193-200. Epub 2020/08/21. doi: hir.2020.26.3.193 [pii] 10.4258/hir.2020.26.3.193. PubMed PMID: 32819037; PubMed Central PMCID: PMC7438698. ETL, Phenotyping
215. Gruhl M, Reinecke I, Sedlmayr M. Specification and Distribution of Vocabularies Among Consortial Partners. Stud Health Technol Inform. 2020;270:1393-4. Epub 2020/06/24. doi: SHTI200458 [pii] 10.3233/SHTI200458. PubMed PMID: 32570675. Vocabulary
216. Stephens KA, West II, Hallgren KA, Mollis B, Ma K, Donovan DM, Stuvek B, Baldwin L-M. Service utilization and chronic condition outcomes among primary care patients with substance use disorders and co-occurring chronic conditions. Journal of substance abuse treatment. 2020;112:49-55. Characterization Study
217. Tong J, Duan R, Li R, Scheuemie MJ, Moore JH, Chen Y. Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data. Pac Symp Biocomput. 2020;25:695-706. Epub 2019/12/05. doi: 9789811215636_0061 [pii]. PubMed PMID: 31797639; PubMed Central PMCID: PMC6905508. Prediction Methods
218. Lee DY, Cho J, You SC, Park RW, Kim CS, Lee EY, Aizenstein H, Andreescu C, Karim H, Hong CH. Risk of mortality in elderly coronavirus disease 2019 patients with mental health disorders: a nationwide retrospective study in South Korea. The American Journal of Geriatric Psychiatry. 2020;28(12):1308-16. Characterization Study
219. Lane JCE, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Biedermann P, Banda JM, Burn E, Casajust P, Conover MM, Culhane AC, Davydov A, DuVall SL, Dymshyts D, Fernandez-Bertolin S, Fister K, Hardin J, Hester L, Hripcsak G, Kaas-Hansen BS, Kent S, Khosla S, Kolovos S, Lambert CG, van der Lei J, Lynch KE, Makadia R, Margulis AV, Matheny ME, Mehta P, Morales DR, Morgan-Stewart H, Mosseveld M, Newby D, Nyberg F, Ostropolets A, Park RW, Prats-Uribe A, Rao GA, Reich C, Reps J, Rijnbeek P, Sathappan SMK, Schuemie M, Seager S, Sena AG, Shoaibi A, Spotnitz M, Suchard MA, Torre CO, Vizcaya D, Wen H, de Wilde M, Xie J, You SC, Zhang L, Zhuk O, Ryan P, Prieto-Alhambra D, consortium O-C-. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study. Lancet Rheumatol. 2020;2(11):e698-e711. Epub 2020/08/31. doi: 10.1016/S2665-9913(20)30276-9 [pii]. PubMed PMID: 32864627; PubMed Central PMCID: PMC7442425. Estimation Study
220. Lane JCE, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Areia C, Biedermann P, Banda JM, Burn E, Casajust P, Fister K, Hardin J, Hester L, Hripcsak G, Kaas-Hansen BS, Khosla S, Kolovos S, Lynch KE, Makadia R, Mehta PP, Morales DR, Morgan-Stewart H, Mosseveld M, Newby D, Nyberg F, Ostropolets A, Woong Park R, Prats-Uribe A, Rao GA, Reich C, Rijnbeek P, Sena AG, Shoaibi A, Spotnitz M, Vignesh S, Suchard MA, Vizcaya D, Wen H, de Wilde M, Xie J, You SC, Zhang L, Lovestone S, Ryan P, Prieto-Alhambra D, consortium O-C-. Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study. Rheumatology (Oxford). 2020. Epub 2020/12/29. doi: 6048420 [pii] 10.1093/rheumatology/keaa771. PubMed PMID: 33367863; PubMed Central PMCID: PMC7798671. Estimation Study
221. Callahan A, Shah NH, Chen JH. Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data. Ann Intern Med. 2020;172(11 Suppl):S79-s84. Epub 2020/06/02. doi: 10.7326/m19-0873. PubMed PMID: 32479175; PubMed Central PMCID: PMCPMC7413106. Phenotyping
222. Spotnitz ME, Natarajan K, Ryan PB, Westhoff CL. Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel-Releasing Intrauterine System Users. Obstet Gynecol. 2020;135(2):319-27. Epub 2020/01/11. doi: 10.1097/aog.0000000000003656. PubMed PMID: 31923062; PubMed Central PMCID: PMCPMC7012337. Estimation Study
223. Alnofal FA, Alrwisan AA, Alshammari TM. Real-world data in Saudi Arabia: Current situation and challenges for regulatory decision-making. Pharmacoepidemiology and Drug Safety. 2020;29(10):1303-6. ETL
224. Kim HI, Yoon JY, Kwak MS, Cha JM. Real-World Use of Colonoscopy in an Older Population: A Nationwide Standard Cohort Study Using a Common Data Model. Digestive Diseases and Sciences. 2020:1-8. Characterization Study
225. Jeon S, Seo J, Kim S, Lee J, Kim JH, Sohn JW, Moon J, Joo HJ. Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models. J Med Internet Res. 2020;22(11):e19597. Epub 2020/11/13. doi: v22i11e19597 [pii] 10.2196/19597. PubMed PMID: 33177037; PubMed Central PMCID: PMC7728527. Methods Other
226. Schuemie MJ, Ryan PB, Pratt N, Chen R, You SC, Krumholz HM, Madigan D, Hripcsak G, Suchard MA. Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J Am Med Inform Assoc. 2020;27(8):1331-7. Epub 2020/09/11. doi: 10.1093/jamia/ocaa103. PubMed PMID: 32909033; PubMed Central PMCID: PMC7481029. Estimation Methods
227. Jin S, Kostka K, Posada JD, Kim Y, Seo SI, Lee DY, Shah NH, Roh S, Lim Y-H, Chae SG. Prediction of major depressive disorder following beta-blocker therapy in patients with cardiovascular diseases. Journal of personalized medicine. 2020;10(4):288. Prediction Study
228. Zuo X, Li J, Zhao B, Zhou Y, Dong X, Duke J, Natarajan K, Hripcsak G, Shah N, Banda JM, Reeves R, Miller T, Xu H. Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA Annu Symp Proc. 2020;2020:1441-50. Epub 2021/05/04. doi: 181_3416722 [pii]. PubMed PMID: 33936520; PubMed Central PMCID: PMC8075502. Referring to, NLP
229. Chandler RE. Nintedanib and ischemic colitis: Signal assessment with the integrated use of two types of real-world evidence, spontaneous reports of suspected adverse drug reactions, and observational data from large health-care databases. Pharmacoepidemiol Drug Saf. 2020;29(8):951-7. Epub 2020/05/14. doi: 10.1002/pds.5022. PubMed PMID: 32399991; PubMed Central PMCID: PMC7496543. Estimation Study
230. Michael CL, Sholle ET, Wulff RT, Roboz GJ, Campion TR, Jr. Mapping Local Biospecimen Records to the OMOP Common Data Model. AMIA Jt Summits Transl Sci Proc. 2020;2020:422-9. Epub 2020/06/02. PubMed PMID: 32477663; PubMed Central PMCID: PMC7233045. ETL, Vocabulary
231. Fishbein HA, Birch RJ, Mathew SM, Sawyer HL, Pulver G, Poling J, Kaelber D, Mardon R, Johnson MC, Pace W, editors. The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort. Healthcare; 2020: Elsevier. ETL
232. Duan R, Luo C, Schuemie MJ, Tong J, Liang CJ, Chang HH, Boland MR, Bian J, Xu H, Holmes JH. Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 2020;27(7):1028-36. Estimation Methods
233. Schuemie MJ, Ryan PB, Pratt N, Chen R, You SC, Krumholz HM, Madigan D, Hripcsak G, Suchard MA. Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J Am Med Inform Assoc. 2020;27(8):1268-77. Epub 2020/08/23. doi: 10.1093/jamia/ocaa124. PubMed PMID: 32827027; PubMed Central PMCID: PMCPMC7481033. Estimation Study
234. Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020;3:109. Epub 2020/08/31. doi: 10.1038/s41746-020-00308-0 308 [pii]. PubMed PMID: 32864472; PubMed Central PMCID: PMC7438496. Characterization Study, Trial
235. Burn E, You SC, Sena AG, Kostka K, Abedtash H, Abrahão MTF, Alberga A, Alghoul H, Alser O, Alshammari TM, Aragon M, Areia C, Banda JM, Cho J, Culhane AC, Davydov A, DeFalco FJ, Duarte-Salles T, DuVall S, Falconer T, Fernandez-Bertolin S, Gao W, Golozar A, Hardin J, Hripcsak G, Huser V, Jeon H, Jing Y, Jung CY, Kaas-Hansen BS, Kaduk D, Kent S, Kim Y, Kolovos S, Lane JCE, Lee H, Lynch KE, Makadia R, Matheny ME, Mehta PP, Morales DR, Natarajan K, Nyberg F, Ostropolets A, Park RW, Park J, Posada JD, Prats-Uribe A, Rao G, Reich C, Rho Y, Rijnbeek P, Schilling LM, Schuemie M, Shah NH, Shoaibi A, Song S, Spotnitz M, Suchard MA, Swerdel JN, Vizcaya D, Volpe S, Wen H, Williams AE, Yimer BB, Zhang L, Zhuk O, Prieto-Alhambra D, Ryan P. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. Nat Commun. 2020;11(1):5009. Epub 2020/10/08. doi: 10.1038/s41467-020-18849-z. PubMed PMID: 33024121; PubMed Central PMCID: PMCPMC7538555. Characterization Study
236. Yu Y, Ruddy KJ, Wen A, Zong N, Tsuji S, Chen J, Shah ND, Jiang G. Integrating Electronic Health Record Data into the ADEpedia-on-OHDSI Platform for Improved Signal Detection: A Case Study of Immune-related Adverse Events. AMIA Jt Summits Transl Sci Proc. 2020;2020:710-9. Epub 2020/06/02. PubMed PMID: 32477694; PubMed Central PMCID: PMC7233056. ETL
237. Su CC, Chia-Cheng Lai E, Kao Yang YH, Man KKC, Kubota K, Stang P, Schuemie M, Ryan P, Hardy C, Zhang Y, Kimura S, Kamijima Y, Wong ICK, Setoguchi S. Incidence, prevalence and prescription patterns of antipsychotic medications use in Asia and US: A cross-nation comparison with common data model. J Psychiatr Res. 2020;131:77-84. Epub 2020/09/19. doi: 10.1016/j.jpsychires.2020.08.025. PubMed PMID: 32947205. Characterization Study
238. Kumar P, Nestsiarovich A, Nelson SJ, Kerner B, Perkins DJ, Lambert CG. Imputation and characterization of uncoded self-harm in major mental illness using machine learning. J Am Med Inform Assoc. 2020;27(1):136-46. Epub 2019/10/28. doi: 10.1093/jamia/ocz173. PubMed PMID: 31651956; PubMed Central PMCID: PMCPMC7647246. Characterization Study
239. Liu S, Wang Y, Wen A, Wang L, Hong N, Shen F, Bedrick S, Hersh W, Liu H. Implementation of a cohort retrieval system for clinical data repositories using the observational medical outcomes partnership common data model: Proof-of-concept system validation. JMIR medical informatics. 2020;8(10):e17376. NLP
240. Schuemie MJ, Cepeda MS, Suchard MA, Yang J, Tian Y, Schuler A, Ryan PB, Madigan D, Hripcsak G. How Confident Are We about Observational Findings in Healthcare: A Benchmark Study. Harv Data Sci Rev. 2020;2(1). Epub 2020/12/29. doi: 10.1162/99608f92.147cc28e. PubMed PMID: 33367288; PubMed Central PMCID: PMC7755157. Estimation Methods
241. Reps JM, Williams RD, You SC, Falconer T, Minty E, Callahan A, Ryan PB, Park RW, Lim HS, Rijnbeek P. Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Med Res Methodol. 2020;20(1):102. Epub 2020/05/08. doi: 10.1186/s12874-020-00991-3 [pii]. PubMed PMID: 32375693; PubMed Central PMCID: PMC7201646. Prediction Study
242. Dixon BE, Wen C, French T, Williams JL, Duke JD, Grannis SJ. Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI). BMJ Health Care Inform. 2020;27(1). Epub 2020/04/02. doi: bmjhci-2019-100054 [pii] 10.1136/bmjhci-2019-100054. PubMed PMID: 32229499; PubMed Central PMCID: PMC7254131. Methods Other, Data Quality
243. Lovestone S. The European medical information framework: A novel ecosystem for sharing healthcare data across Europe. Learn Health Syst. 2020;4(2):e10214. Epub 2020/04/22. doi: 10.1002/lrh2.10214. PubMed PMID: 32313838; PubMed Central PMCID: PMCPMC7156868. Referring to
244. Tian Y, Chen W, Zhou T, Li J, Ding K, Li J. Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study. Int J Med Inform. 2020;141:104173. Epub 2020/06/13. doi: S1386-5056(20)30136-2 [pii] 10.1016/j.ijmedinf.2020.104173. PubMed PMID: 32531725. Prediction Methods
245. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for identification of drugs associated with upper gastrointestinal bleeding in the French National Healthcare System database (SNDS). Pharmacoepidemiol Drug Saf. 2020;29(8):890-903. Epub 2020/06/12. doi: 10.1002/pds.5038. PubMed PMID: 32524701. Estimation Study
246. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for drug safety alert identification in the French National Healthcare System database (SNDS): Methodology of the ALCAPONE project. Pharmacoepidemiol Drug Saf. 2020;29(9):993-1000. Epub 2020/03/07. doi: 10.1002/pds.4983. PubMed PMID: 32133717. Estimation Methods
247. Unberath P, Prokosch HU, Grundner J, Erpenbeck M, Maier C, Christoph J. EHR-Independent Predictive Decision Support Architecture Based on OMOP. Appl Clin Inform. 2020;11(3):399-404. Epub 2020/06/04. doi: 10.1055/s-0040-1710393. PubMed PMID: 32492716; PubMed Central PMCID: PMC7269719. Prediction Methods
248. Choi YI, Kim YJ, Chung JW, Kim KO, Kim H, Park RW, Park DK. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Med Inform. 2020;8(4):e15124. Epub 2020/04/16. doi: v8i4e15124 [pii] 10.2196/15124. PubMed PMID: 32293578; PubMed Central PMCID: PMC7191339. Referring to, Estimation Study
249. Kashyap M, Seneviratne M, Banda JM, Falconer T, Ryu B, Yoo S, Hripcsak G, Shah NH. Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J Am Med Inform Assoc. 2020;27(6):877-83. Epub 2020/05/07. doi: 5831103 [pii] 10.1093/jamia/ocaa032. PubMed PMID: 32374408; PubMed Central PMCID: PMC7309227. Phenotyping
250. Wang Q, Reps JM, Kostka KF, Ryan PB, Zou Y, Voss EA, Rijnbeek PR, Chen R, Rao GA, Morgan Stewart H, Williams AE, Williams RD, Van Zandt M, Falconer T, Fernandez-Chas M, Vashisht R, Pfohl SR, Shah NH, Kasthurirathne SN, You SC, Jiang Q, Reich C, Zhou Y. Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network. PLoS One. 2020;15(1):e0226718. Epub 2020/01/08. doi: 10.1371/journal.pone.0226718 PONE-D-19-25005 [pii]. PubMed PMID: 31910437; PubMed Central PMCID: PMC6946584 Development. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Prediction Study
251. Swerdel JN, Reps JM, Fife D, Ryan PB. Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative Datasets. Drug Saf. 2020;43(5):447-55. Epub 2020/01/16. doi: 10.1007/s40264-020-00906-7 [pii]. PubMed PMID: 31939079; PubMed Central PMCID: PMC7165142. Prediction Study
252. Yu Y, Ruddy K, Mansfield A, Zong N, Wen A, Tsuji S, Huang M, Liu H, Shah N, Jiang G. Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study. JMIR Med Inform. 2020;8(6):e17353. Epub 2020/06/13. doi: v8i6e17353 [pii] 10.2196/17353. PubMed PMID: 32530430; PubMed Central PMCID: PMC7320306. NLP
253. Reinecke I, Gulden C, Kummel M, Nassirian A, Blasini R, Sedlmayr M. Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP. Stud Health Technol Inform. 2020;270:158-62. Epub 2020/06/24. doi: SHTI200142 [pii] 10.3233/SHTI200142. PubMed PMID: 32570366. Phenotyping, FHIR, Trial
254. Weng C, Shah NH, Hripcsak G. Deep phenotyping: Embracing complexity and temporality-Towards scalability, portability, and interoperability. J Biomed Inform. 2020;105:103433. Epub 2020/04/27. doi: 10.1016/j.jbi.2020.103433. PubMed PMID: 32335224; PubMed Central PMCID: PMCPMC7179504. Phenotyping
255. Bompelli A, Li J, Xu Y, Wang N, Wang Y, Adam T, He Z, Zhang R. Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA Annu Symp Proc. 2020;2020:243-52. Epub 2021/05/04. doi: 056_3415023 [pii]. PubMed PMID: 33936396; PubMed Central PMCID: PMC8075443. NLP
256. Fischer P, Stohr MR, Gall H, Michel-Backofen A, Majeed RW. Data Integration into OMOP CDM for Heterogeneous Clinical Data Collections via HL7 FHIR Bundles and XSLT. Stud Health Technol Inform. 2020;270:138-42. Epub 2020/06/24. doi: SHTI200138 [pii] 10.3233/SHTI200138. PubMed PMID: 32570362. ETL, FHIR
257. Averitt AJ, Vanitchanant N, Ranganath R, Perotte AJ. The Counterfactual χ-GAN: Finding comparable cohorts in observational health data. J Biomed Inform. 2020;109:103515. Epub 2020/08/11. doi: 10.1016/j.jbi.2020.103515. PubMed PMID: 32771540. Estimation Methods
258. Ji H, Kim S, Yi S, Hwang H, Kim JW, Yoo S. Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM. J Biomed Inform. 2020;107:103459. Epub 2020/05/30. doi: S1532-0464(20)30087-3 [pii] 10.1016/j.jbi.2020.103459. PubMed PMID: 32470694. ETL, NLP
259. Cho S, Sin M, Tsapepas D, Dale LA, Husain SA, Mohan S, Natarajan K. Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis. Appl Clin Inform. 2020;11(4):650-8. Epub 2020/10/08. doi: 10.1055/s-0040-1716528. PubMed PMID: 33027834; PubMed Central PMCID: PMC7557323 Kidney International Reports, outside the submitted work. ETL, Vocabulary
260. You SC, Jung S, Swerdel JN, Ryan PB, Schuemie MJ, Suchard MA, Lee S, Cho J, Hripcsak G, Park RW, Park S. Comparison of First-Line Dual Combination Treatments in Hypertension: Real-World Evidence from Multinational Heterogeneous Cohorts. Korean Circ J. 2020;50(1):52-68. Epub 2019/10/24. doi: 10.4070/kcj.2019.0173. PubMed PMID: 31642211; PubMed Central PMCID: PMCPMC6923236. Estimation Study
261. Hripcsak G, Suchard MA, Shea S, Chen R, You SC, Pratt N, Madigan D, Krumholz HM, Ryan PB, Schuemie MJ. Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension. JAMA Intern Med. 2020;180(4):542-51. Epub 2020/02/18. doi: 10.1001/jamainternmed.2019.7454. PubMed PMID: 32065600; PubMed Central PMCID: PMCPMC7042845. Estimation Study
262. Kim Y, Tian Y, Yang J, Huser V, Jin P, Lambert CG, Park H, You SC, Park RW, Rijnbeek PR, Van Zandt M, Reich C, Vashisht R, Wu Y, Duke J, Hripcsak G, Madigan D, Shah NH, Ryan PB, Schuemie MJ, Suchard MA. Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis. Sci Rep. 2020;10(1):11115. Epub 2020/07/08. doi: 10.1038/s41598-020-68037-8 10.1038/s41598-020-68037-8 [pii]. PubMed PMID: 32632237; PubMed Central PMCID: PMC7338498. Estimation Study
263. Seo SI, You SC, Park CH, Kim TJ, Ko YS, Kim Y, Yoo JJ, Kim J, Shin WG. Comparative risk of Clostridium difficile infection between proton pump inhibitors and histamine-2 receptor antagonists: A 15-year hospital cohort study using a common data model. Journal of gastroenterology and hepatology. 2020;35(8):1325-30. Estimation Study
264. Davidson L, Boland MR. Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm. AMIA Jt Summits Transl Sci Proc. 2020;2020:126-35. Epub 2020/06/02. PubMed PMID: 32477631; PubMed Central PMCID: PMCPMC7233099. ETL
265. Ostropolets A, Reich C, Ryan P, Weng C, Molinaro A, DeFalco F, Jonnagaddala J, Liaw ST, Jeon H, Park RW, Spotnitz ME, Natarajan K, Argyriou G, Kostka K, Miller R, Williams A, Minty E, Posada J, Hripcsak G. Characterizing database granularity using SNOMED-CT hierarchy. AMIA Annu Symp Proc. 2020;2020:983-92. Epub 2021/05/04. doi: 134_3416797 [pii]. PubMed PMID: 33936474; PubMed Central PMCID: PMC8075504. Characterization Methods, Vocabulary
266. Kim H, Yoo S, Jeon Y, Yi S, Kim S, Choi SA, Hwang H, Kim KJ. Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model. Front Neurol. 2020;11:409. Epub 2020/06/02. doi: 10.3389/fneur.2020.00409. PubMed PMID: 32477256; PubMed Central PMCID: PMC7235379. Characterization Study
267. Weinstein RB, Ryan PB, Berlin JA, Schuemie MJ, Swerdel J, Fife D. Channeling Bias in the Analysis of Risk of Myocardial Infarction, Stroke, Gastrointestinal Bleeding, and Acute Renal Failure with the Use of Paracetamol Compared with Ibuprofen. Drug Saf. 2020;43(9):927-42. Epub 2020/06/06. doi: 10.1007/s40264-020-00950-3. PubMed PMID: 32500272; PubMed Central PMCID: PMCPMC7434801. Estimation Study
268. Candore G, Hedenmalm K, Slattery J, Cave A, Kurz X, Arlett P. Can We Rely on Results From IQVIA Medical Research Data UK Converted to the Observational Medical Outcome Partnership Common Data Model?: A Validation Study Based on Prescribing Codeine in Children. Clin Pharmacol Ther. 2020;107(4):915-25. Epub 2020/01/21. doi: 10.1002/cpt.1785. PubMed PMID: 31956997; PubMed Central PMCID: PMC7158210. Characterization Study, Position
269. You SC, Rho Y, Bikdeli B, Kim J, Siapos A, Weaver J, Londhe A, Cho J, Park J, Schuemie M, Suchard MA, Madigan D, Hripcsak G, Gupta A, Reich CG, Ryan PB, Park RW, Krumholz HM. Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention. Jama. 2020;324(16):1640-50. Epub 2020/10/28. doi: 10.1001/jama.2020.16167. PubMed PMID: 33107944; PubMed Central PMCID: PMCPMC7592033. Estimation Study
270. Lee SM, Kim K, Yoon J, Park SK, Moon S, Lee SE, Oh J, Yoo S, Kim K-I, Yoon H-J. Association between use of hydrochlorothiazide and nonmelanoma skin cancer: Common data model cohort study in Asian population. Journal of clinical medicine. 2020;9(9):2910. Estimation Study
271. Cho J, You SC, Lee S, Park D, Park B, Hripcsak G, Park RW. Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model. Int J Environ Res Public Health. 2020;17(21). Epub 2020/10/30. doi: ijerph17217824 [pii] 10.3390/ijerph17217824. PubMed PMID: 33114631; PubMed Central PMCID: PMC7663469. Methods Other
272. Brauer R, Wong ICK, Man KK, Pratt NL, Park RW, Cho SY, Li YJ, Iqbal U, Nguyen PA, Schuemie M. Application of a Common Data Model (CDM) to rank the paediatric user and prescription prevalence of 15 different drug classes in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, descriptive study. BMJ open. 2020;10(1):e032426. Epub 2020/01/16. doi: 10.1136/bmjopen-2019-032426. PubMed PMID: 31937652; PubMed Central PMCID: PMCPMC7044847. Characterization Study
273. Choi SA, Kim H, Kim S, Yoo S, Yi S, Jeon Y, Hwang H, Kim KJ. Analysis of antiseizure drug-related adverse reactions from the electronic health record using the common data model. Epilepsia. 2020;61(4):610-6. Characterization Study
274. Ostropolets A, Reich C, Ryan P, Shang N, Hripcsak G, Weng C. Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. J Biomed Inform. 2020;102:103363. Epub 2019/12/24. doi: S1532-0464(19)30283-7 [pii] 10.1016/j.jbi.2019.103363. PubMed PMID: 31866433; PubMed Central PMCID: PMC7390483. Phenotyping
275. Yuan Z, DeFalco F, Wang L, Hester L, Weaver J, Swerdel JN, Freedman A, Ryan P, Schuemie M, Qiu R, Yee J, Meininger G, Berlin JA, Rosenthal N. Acute pancreatitis risk in type 2 diabetes patients treated with canagliflozin versus other antihyperglycemic agents: an observational claims database study. Curr Med Res Opin. 2020;36(7):1117-24. Epub 2020/04/28. doi: 10.1080/03007995.2020.1761312. PubMed PMID: 32338068. Estimation Study
276. Bhuyan P, Medin J, da Silva HG, Yadavalli M, Shankar NK, Mullerova H, Arnold M, Nord M. Very rare thrombosis with thrombocytopenia after second AZD1222 dose: a global safety database analysis. The Lancet. 2021. doi: 10.1016/S0140-6736(21)01693-7. Active Surveillance, Characterization Study
277. Prats-Uribe A, Sena AG, Lai LYH, Ahmed WU, Alghoul H, Alser O, Alshammari TM, Areia C, Carter W, Casajust P, Dawoud D, Golozar A, Jonnagaddala J, Mehta PP, Gong M, Morales DR, Nyberg F, Posada JD, Recalde M, Roel E, Shah K, Shah NH, Schilling LM, Subbian V, Vizcaya D, Zhang L, Zhang Y, Zhu H, Liu L, Cho J, Lynch KE, Matheny ME, You SC, Rijnbeek PR, Hripcsak G, Lane JC, Burn E, Reich C, Suchard MA, Duarte-Salles T, Kostka K, Ryan PB, Prieto-Alhambra D. Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study. bmj. 2021;373:n1038. Epub 2021/05/13. doi: 10.1136/bmj.n1038. PubMed PMID: 33975825; PubMed Central PMCID: PMC8111167. Characterization Study
278. Wang Y, Makadia R, Knoll C, Hardin J, Voss EA, Fife D, Davis K, Sloan S. Understanding patient journey in ulcerative colitis prior to biologic initiation: a 5-year exploration. BMC gastroenterology. 2021;21(1):1-8. Characterization Study
279. Almeida JR, Silva JF, Matos S, Oliveira JL. A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases. J Biomed Inform. 2021;120:103849. Epub 2021/07/03. doi: 10.1016/j.jbi.2021.103849. PubMed PMID: 34214696. ETL, NLP
280. Kim JW, Kim S, Ryu B, Song W, Lee HY, Yoo S. Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership’s Common Data Model: a pilot feasibility study. Sci Rep. 2021;11(1):7013. Epub 2021/03/31. doi: 10.1038/s41598-021-86564-w 10.1038/s41598-021-86564-w [pii]. PubMed PMID: 33782494; PubMed Central PMCID: PMC8007756. ETL, Vocabulary
281. Kim JH, Ta CN, Liu C, Sung C, Butler AM, Stewart LA, Ena L, Rogers JR, Lee J, Ostropolets A, Ryan PB, Liu H, Lee SM, Elkind MSV, Weng C. Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. J Am Med Inform Assoc. 2021;28(1):14-22. Epub 2020/12/02. doi: 10.1093/jamia/ocaa276. PubMed PMID: 33260201; PubMed Central PMCID: PMCPMC7798960. Trial Feasibility
282. Fife D, Blacketer C, Knight RK, Weaver J. Stroke risk among elderly users of haloperidol and typical antipsychotics versus atypical antipsychotics: a real-world study from a US health insurance claims database. The American Journal of Geriatric Psychiatry. 2021;29(5):499-510. Estimation Study
283. Yoon JY, Cha JM, Kim HI, Kwak MS. Seasonal variation of peptic ulcer disease, peptic ulcer bleeding, and acute pancreatitis: A nationwide population-based study using a common data model. Medicine. 2021;100(21). Characterization Study
284. Kim GL, Yi YH, Hwang HR, Kim J, Park Y, Kim YJ, Lee JG, Tak YJ, Lee SH, Lee SY, Cho YH, Park EJ, Lee Y. The Risk of Osteoporosis and Osteoporotic Fracture Following the Use of Irritable Bowel Syndrome Medical Treatment: An Analysis Using the OMOP CDM Database. J Clin Med. 2021;10(9). Epub 2021/06/03. doi: jcm10092044 [pii] 10.3390/jcm10092044. PubMed PMID: 34068814; PubMed Central PMCID: PMC8126251. Estimation Study, Characterization Study
285. Lane JC, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Areia C, Biedermann P. Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study. Rheumatology. 2021;60(7):3222-34. Characterization Study
286. Morales DR, Conover MM, You SC, Pratt N, Kostka K, Duarte-Salles T, Fernandez-Bertolin S, Aragon M, DuVall SL, Lynch K, Falconer T, van Bochove K, Sung C, Matheny ME, Lambert CG, Nyberg F, Alshammari TM, Williams AE, Park RW, Weaver J, Sena AG, Schuemie MJ, Rijnbeek PR, Williams RD, Lane JCE, Prats-Uribe A, Zhang L, Areia C, Krumholz HM, Prieto-Alhambra D, Ryan PB, Hripcsak G, Suchard MA. Renin-angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis. Lancet Digit Health. 2021;3(2):e98-e114. Epub 2020/12/22. doi: S2589-7500(20)30289-2 [pii] 10.1016/S2589-7500(20)30289-2. PubMed PMID: 33342753; PubMed Central PMCID: PMC7834915. Estimation Study
287. Schuemie MJ, Weinstein R, Ryan PB, Berlin JA. Quantifying bias in epidemiologic studies evaluating the association between acetaminophen use and cancer. Regul Toxicol Pharmacol. 2021;120:104866. Epub 2021/01/18. doi: 10.1016/j.yrtph.2021.104866. PubMed PMID: 33454352. Estimation Methods
288. Vogelsang RP, Bojesen RD, Hoelmich ER, Orhan A, Buzquurz F, Cai L, Grube C, Zahid JA, Allakhverdiiev E, Raskov HH, Drakos I, Derian N, Ryan PB, Rijnbeek PR, Gögenur I. Prediction of 90-day mortality after surgery for colorectal cancer using standardized nationwide quality-assurance data. BJS Open. 2021;5(3). Epub 2021/05/09. doi: 10.1093/bjsopen/zrab023. PubMed PMID: 33963368; PubMed Central PMCID: PMCPMC8105588. Prediction Study
289. Chen Z, Liu H, Butler A, Ostropolets A, Weng C. Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping. Stud Health Technol Inform. 2021;281:148-52. Epub 2021/05/28. doi: SHTI210138 [pii] 10.3233/SHTI210138. PubMed PMID: 34042723. Methods Other, Trial
290. Dimitriadis VK, Gavriilidis GI, Natsiavas P. Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data. Stud Health Technol Inform. 2021;281:555-9. Epub 2021/05/28. doi: SHTI210232 [pii] 10.3233/SHTI210232. PubMed PMID: 34042637. ETL, Active Surveillance
291. Maier C, Kapsner LA, Mate S, Prokosch HU, Kraus S. Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model. Appl Clin Inform. 2021;12(1):57-64. Epub 2021/01/29. doi: 10.1055/s-0040-1721481. PubMed PMID: 33506478; PubMed Central PMCID: PMC7840432. Methods Other
292. Ge J, Pletcher MJ, Lai JC. Outcomes of SARS-CoV-2 Infection in Patients with Chronic Liver Disease and Cirrhosis: a N3C Study. Gastroenterology. 2021. Epub 2021/07/21. doi: 10.1053/j.gastro.2021.07.010. PubMed PMID: 34284037; PubMed Central PMCID: PMCPMC8286237. Characterization Study
293. Sharafeldin N, Bates B, Song Q, Madhira V, Yan Y, Dong S, Lee E, Kuhrt N, Shao YR, Liu F, Bergquist T, Guinney J, Su J, Topaloglu U. Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C). J Clin Oncol. 2021;39(20):2232-46. Epub 2021/06/05. doi: 10.1200/jco.21.01074. PubMed PMID: 34085538; PubMed Central PMCID: PMCPMC8260918. Characterization Study
294. Shin H, Lee S. An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources. BMC Med Inform Decis Mak. 2021;21(1):159. Epub 2021/05/19. doi: 10.1186/s12911-021-01520-y 10.1186/s12911-021-01520-y [pii]. PubMed PMID: 34001114; PubMed Central PMCID: PMC8130307. Active Surveillance, Methods Other
295. Burn E, Tebé C, Fernandez-Bertolin S, Aragon M, Recalde M, Roel E, Prats-Uribe A, Prieto-Alhambra D, Duarte-Salles T. The natural history of symptomatic COVID-19 during the first wave in Catalonia. Nature communications. 2021;12(1):1-12. Characterization Study
296. Gaudet-Blavignac C, Raisaro JL, Touré V, Österle S, Crameri K, Lovis C. A National, Semantic-Driven, Three-Pillar Strategy to Enable Health Data Secondary Usage Interoperability for Research Within the Swiss Personalized Health Network: Methodological Study. JMIR Med Inform. 2021;9(6):e27591. Epub 2021/06/30. doi: 10.2196/27591. PubMed PMID: 34185008; PubMed Central PMCID: PMCPMC8277320. Characterization Methods, Methods Other
297. Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PR, Pfaff ER, Robinson PN, Saltz JH. The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment. Journal of the American Medical Informatics Association. 2021;28(3):427-43. ETL
298. Kim C, You SC, Reps JM, Cheong JY, Park RW. Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. Journal of the American Medical Informatics Association. 2021;28(6):1098-107. Prediction Methods
299. Liu H, Chi Y, Butler A, Sun Y, Weng C. A knowledge base of clinical trial eligibility criteria. J Biomed Inform. 2021;117:103771. Epub 2021/04/05. doi: S1532-0464(21)00100-3 [pii] 10.1016/j.jbi.2021.103771. PubMed PMID: 33813032. Methods Other, Trial
300. Blacketer C, Defalco FJ, Ryan PB, Rijnbeek PR. Increasing trust in real-world evidence through evaluation of observational data quality. J Am Med Inform Assoc. 2021. Epub 2021/07/28. doi: 10.1093/jamia/ocab132. PubMed PMID: 34313749. Data Quality
301. Seong Y, You SC, Ostropolets A, Rho Y, Park J, Cho J, Dymshyts D, Reich CG, Heo Y, Park RW. Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary. Healthc Inform Res. 2021;27(1):29-38. Epub 2021/02/22. doi: hir.2021.27.1.29 [pii] 10.4258/hir.2021.27.1.29. PubMed PMID: 33611874; PubMed Central PMCID: PMC7921574. Vocabulary, ETL
301. Wang L, Swerdel JN, Weaver J, Weiss B, Pan G, Yuan Z, DiBattiste PM. Incidence rate of hospitalization and mortality in the first year following initial diagnosis of cardiac amyloidosis in the US claims databases. Current Medical Research and Opinion. 2021:1-11. Characterization Study
302. Reps JM, Kim C, Williams RD, Markus AF, Yang C, Duarte-Salles T, Falconer T, Jonnagaddala J, Williams A, Fernández-Bertolín S, DuVall SL, Kostka K, Rao G, Shoaibi A, Ostropolets A, Spotnitz ME, Zhang L, Casajust P, Steyerberg EW, Nyberg F, Kaas-Hansen BS, Choi YH, Morales D, Liaw ST, Abrahão MTF, Areia C, Matheny ME, Lynch KE, Aragón M, Park RW, Hripcsak G, Reich CG, Suchard MA, You SC, Ryan PB, Prieto-Alhambra D, Rijnbeek PR. Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study. JMIR Med Inform. 2021;9(4):e21547. Epub 2021/03/05. doi: 10.2196/21547. PubMed PMID: 33661754; PubMed Central PMCID: PMCPMC8023380. Prediction Study
303. Majeed RW, Stohr MR, Gunther A. HIStream-Import: A Generic. ETL Framework for Processing Arbitrary Patient Data Collections or Hospital Information Systems into HL7 FHIR Bundles. Stud Health Technol Inform. 2021;278:75-9. Epub 2021/05/28. doi: SHTI210053 [pii] 10.3233/SHTI210053. PubMed PMID: 34042878. ETL, FHIR
304. Kim HI, Yoon JY, Kwak MS, Cha JM. Gastrointestinal and Nongastrointestinal Complications of Esophagogastroduodenoscopy and Colonoscopy in the Real World: A Nationwide Standard Cohort Using the Common Data Model Database. Gut and Liver. 2021. Characterization Study
305. Rinaldi E, Thun S. From OpenEHR to FHIR and OMOP Data Model for Microbiology Findings. Stud Health Technol Inform. 2021;281:402-6. Epub 2021/05/28. doi: SHTI210189 [pii] 10.3233/SHTI210189. PubMed PMID: 34042774. ETL, FHIR
306. Park J, You SC, Jeong E, Weng C, Park D, Roh J, Lee DY, Cheong JY, Choi JW, Kang M, Park RW. A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study. JMIR Med Inform. 2021;9(3):e23983. Epub 2021/03/31. doi: v9i3e23983 [pii] 10.2196/23983. PubMed PMID: 33783361; PubMed Central PMCID: PMC8044740. ETL, NLP
307. Belenkaya R, Gurley MJ, Golozar A, Dymshyts D, Miller RT, Williams AE, Ratwani S, Siapos A, Korsik V, Warner J, Campbell WS, Rivera D, Banokina T, Modina E, Bethusamy S, Stewart HM, Patel M, Chen R, Falconer T, Park RW, You SC, Jeon H, Shin SJ, Reich C. Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research. JCO Clin Cancer Inform. 2021;5:12-20. Epub 2021/01/08. doi: 10.1200/CCI.20.00079. PubMed PMID: 33411620; PubMed Central PMCID: PMC8140810. ETL, Vocabulary
308. Schüttler C, Prokosch HU, Sedlmayr M, Sedlmayr B. Evaluation of Three Feasibility Tools for Identifying Patient Data and Biospecimen Availability: Comparative Usability Study. JMIR Med Inform. 2021;9(7):e25531. Epub 2021/07/22. doi: 10.2196/25531. PubMed PMID: 34287211. Characterization Methods
309. Oh S, Sung M, Rhee Y, Hong N, Park YR. Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study. JMIR Med Inform. 2021;9(5):e24940. Epub 2021/06/01. doi: v9i5e24940 [pii] 10.2196/24940. PubMed PMID: 34057426. Methods Other
310. Giangreco NP, Tatonetti NP. Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children. BioData Min. 2021;14(1):34. Epub 2021/07/24. doi: 10.1186/s13040-021-00264-9. PubMed PMID: 34294093. Methods Other
311. Thurin NH, Lassalle R, Schuemie M, Penichon M, Gagne JJ, Rassen JA, Benichou J, Weill A, Blin P, Moore N, Droz-Perroteau C. Empirical assessment of case-based methods for identification of drugs associated with acute liver injury in the French National Healthcare System database (SNDS). Pharmacoepidemiol Drug Saf. 2021;30(3):320-33. Epub 2020/10/26. doi: 10.1002/pds.5161. PubMed PMID: 33099844. Referring to, Estimation Study
312. Reps JM, Rijnbeek P, Cuthbert A, Ryan PB, Pratt N, Schuemie M. An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design. BMC Med Inform Decis Mak. 2021;21(1):43. Epub 2021/02/08. doi: 10.1186/s12911-021-01408-x. PubMed PMID: 33549087; PubMed Central PMCID: PMCPMC7866757. Prediction Methods, Prediction Study
313. Hripcsak G, Schuemie MJ, Madigan D, Ryan PB, Suchard MA. Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI. Yearb Med Inform. 2021. Epub 2021/04/22. doi: 10.1055/s-0041-1726481. PubMed PMID: 33882595. Position
314. Mamidi TKK, Tran-Nguyen TK, Melvin RL, Worthey EA. Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data. Front Big Data. 2021;4:675882. Epub 2021/06/22. doi: 10.3389/fdata.2021.675882. PubMed PMID: 34151259; PubMed Central PMCID: PMCPMC8211871. Prediction Study
315. Sivesind TE, Runion T, Branda M, Schilling LM, Dellavalle RP. Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network. Dermatology. 2021:1-9. Epub 2021/03/19. doi: 000514536 [pii] 10.1159/000514536. PubMed PMID: 33735862. Position
316. Kang B, Yoon J, Kim HY, Jo SJ, Lee Y, Kam HJ. Deep-learning-based automated terminology mapping in OMOP-CDM. J Am Med Inform Assoc. 2021. Epub 2021/05/15. doi: 6275415 [pii] 10.1093/jamia/ocab030. PubMed PMID: 33987667. ETL, Vocabulary
317. Ostropolets A, Zachariah P, Ryan P, Chen R, Hripcsak G. Data Consult Service: Can we use observational data to address immediate clinical needs? Journal of the American Medical Informatics Association. 2021. doi: 10.1093/jamia/ocab122. Estimation Study; Characterization Study
318. Wang J, Abu-El-Rub N, Gray J, Pham HA, Zhou Y, Manion FJ, Liu M, Song X, Xu H, Rouhizadeh M, Zhang Y. COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model. J Am Med Inform Assoc. 2021. Epub 2021/03/07. doi: 6155732 [pii] 10.1093/jamia/ocab015. PubMed PMID: 33674830; PubMed Central PMCID: PMC7989301. ETL, NLP
319. Tan EH, Sena AG, Prats-Uribe A, You SC, Ahmed WU, Kostka K, Reich C, Duvall SL, Lynch KE, Matheny ME, Duarte-Salles T, Bertolin SF, Hripcsak G, Natarajan K, Falconer T, Spotnitz M, Ostropolets A, Blacketer C, Alshammari TM, Alghoul H, Alser O, Lane JCE, Dawoud DM, Shah K, Yang Y, Zhang L, Areia C, Golozar A, Recalde M, Casajust P, Jonnagaddala J, Subbian V, Vizcaya D, Lai LYH, Nyberg F, Morales DR, Posada JD, Shah NH, Gong M, Vivekanantham A, Abend A, Minty EP, Suchard M, Rijnbeek P, Ryan PB, Prieto-Alhambra D. COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries. Rheumatology (Oxford). 2021. Epub 2021/03/17. doi: 6174122 [pii] 10.1093/rheumatology/keab250. PubMed PMID: 33725121; PubMed Central PMCID: PMC7989171. Characterization Study
320. Chan You S, Krumholz HM, Suchard MA, Schuemie MJ, Hripcsak G, Chen R, Shea S, Duke J, Pratt N, Reich CG, Madigan D, Ryan PB, Woong Park R, Park S. Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients: A Large-Scale Multicenter Observational Study. Hypertension. 2021;77(5):1528-38. Epub 2021/03/30. doi: 10.1161/hypertensionaha.120.16402. PubMed PMID: 33775125; PubMed Central PMCID: PMCPMC8035236. Estimation Study
321. Jensen ET, Dabelea DA, Praveen PA, Amutha A, Hockett CW, Isom SP, Ong TC, Mohan V, D’Agostino R, Jr., Kahn MG, Hamman RF, Wadwa P, Dolan L, Lawrence JM, Madhu SV, Chhokar R, Goel K, Tandon N, Mayer-Davis E. Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries. Pediatr Diabetes. 2021;22(1):8-14. Epub 2020/03/21. doi: 10.1111/pedi.13009. PubMed PMID: 32196874; PubMed Central PMCID: PMC7748376. Characterization Study
322. Cronin RM, Halvorson AE, Springer C, Feng X, Sulieman L, Loperena-Cortes R, Mayo K, Carroll RJ, Chen Q, Ahmedani BK. Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. Journal of the American Medical Informatics Association. 2021;28(4):695-703. ETL
323. Rogers JR, Liu C, Hripcsak G, Cheung YK, Weng C. Comparison of Clinical Characteristics Between Clinical Trial Participants and Nonparticipants Using Electronic Health Record Data. JAMA network open. 2021;4(4):e214732-e. Trial Feasibility
324. Chen R, Suchard MA, Krumholz HM, Schuemie MJ, Shea S, Duke J, Pratt N, Reich CG, Madigan D, You SC, Ryan PB, Hripcsak G. Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study. Hypertension. 2021:HYPERTENSIONAHA12016667. Epub 2021/07/27. doi: 10.1161/HYPERTENSIONAHA.120.16667. PubMed PMID: 34304580. Active Surveillance
325. Lee J, Liu C, Kim JH, Butler A, Shang N, Pang C, Natarajan K, Ryan P, Ta C, Weng C. Comparative effectiveness of medical concept embedding for feature engineering in phenotyping. JAMIA open. 2021;4(2):ooab028. Epub 2021/06/19. doi: 10.1093/jamiaopen/ooab028. PubMed PMID: 34142015; PubMed Central PMCID: PMCPMC8206403. Phenotyping
326. Shoaibi A, Fortin SP, Weinstein R, Berlin JA, Ryan P. Comparative Effectiveness of Famotidine in Hospitalized COVID-19 Patients. Am J Gastroenterol. 2021;116(4):692-9. Epub 2021/05/14. doi: 10.14309/ajg.0000000000001153. PubMed PMID: 33982938. Estimation Study
327. Kent S, Burn E, Dawoud D, Jonsson P, Ostby JT, Hughes N, Rijnbeek P, Bouvy JC. Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment. PharmacoEconomics. 2021;39(3):275-85. Epub 2020/12/19. doi: 10.1007/s40273-020-00981-9 10.1007/s40273-020-00981-9 [pii]. PubMed PMID: 33336320; PubMed Central PMCID: PMC7746423. Position
328. Bennett TD, Moffitt RA, Hajagos JG, Amor B, Anand A, Bissell MM, Bradwell KR, Bremer C, Byrd JB, Denham A, DeWitt PE, Gabriel D, Garibaldi BT, Girvin AT, Guinney J, Hill EL, Hong SS, Jimenez H, Kavuluru R, Kostka K, Lehmann HP, Levitt E, Mallipattu SK, Manna A, McMurry JA, Morris M, Muschelli J, Neumann AJ, Palchuk MB, Pfaff ER, Qian Z, Qureshi N, Russell S, Spratt H, Walden A, Williams AE, Wooldridge JT, Yoo YJ, Zhang XT, Zhu RL, Austin CP, Saltz JH, Gersing KR, Haendel MA, Chute CG, National CCCC. Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative. JAMA Netw Open. 2021;4(7):e2116901. Epub 2021/07/14. doi: 10.1001/jamanetworkopen.2021.16901. PubMed PMID: 34255046; PubMed Central PMCID: PMCPMC8278272. Characterization Study, Prediction Study
329. Jeon H, You SC, Kang SY, Seo SI, Warner JL, Belenkaya R, Park RW. Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study. JMIR Med Inform. 2021;9(4):e25035. Epub 2021/03/16. doi: v9i4e25035 [pii] 10.2196/25035. PubMed PMID: 33720842; PubMed Central PMCID: PMC8058693. Methods Other
330. Roel E, Pistillo A, Recalde M, Sena AG, Fernandez-Bertolin S, Aragon M, Puente D, Ahmed WU, Alghoul H, Alser O, Alshammari TM, Areia C, Blacketer C, Carter W, Casajust P, Culhane AC, Dawoud D, DeFalco F, DuVall SL, Falconer T, Golozar A, Gong M, Hester L, Hripcsak G, Tan EH, Jeon H, Jonnagaddala J, Lai LY, Lynch KE, Matheny ME, Morales DR, Natarajan K, Nyberg F, Ostropolets A, Posada JD, Prats-Uribe A, Reich CG, Rivera DR, Schilling LM, Soerjomataram I, Shah K, Shah NH, Shen Y, Spotnitz M, Subbian V, Suchard MA, Trama A, Zhang L, Zhang Y, Ryan PB, Prieto-Alhambra D, Kostka K, Duarte-Salles T. Characteristics and outcomes of over 300,000 COVID-19 individuals with history of cancer in the United States and Spain. Cancer Epidemiol Biomarkers Prev. 2021. Epub 2021/07/18. doi: 10.1158/1055-9965. EPI-21-0266. PubMed PMID: 34272262. Characterization Study
331. Recalde M, Roel E, Pistillo A, Sena AG, Prats-Uribe A, Ahmed WU, Alghoul H, Alshammari TM, Alser O, Areia C, Burn E, Casajust P, Dawoud D, DuVall SL, Falconer T, Fernández-Bertolín S, Golozar A, Gong M, Lai LYH, Lane JCE, Lynch KE, Matheny ME, Mehta PP, Morales DR, Natarjan K, Nyberg F, Posada JD, Reich CG, Rijnbeek PR, Schilling LM, Shah K, Shah NH, Subbian V, Zhang L, Zhu H, Ryan P, Prieto-Alhambra D, Kostka K, Duarte-Salles T. Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom. Int J Obes (Lond). 2021:1-11. Epub 2021/07/17. doi: 10.1038/s41366-021-00893-4. PubMed PMID: 34267326; PubMed Central PMCID: PMCPMC8281807. Characterization Study
332. Li X, Ostropolets A, Makadia R, Shoaibi A, Rao G, Sena AG, Martinez-Hernandez E, Delmestri A, Verhamme K, Rijnbeek PR, Duarte-Salles T, Suchard MA, Ryan PB, Hripcsak G, Prieto-Alhambra D. Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study. bmj. 2021;373:n1435. doi: 10.1136/bmj.n1435. Characterization Study, Estimation Study
333. Reps JM, Kim C, Williams RD, Markus AF, Yang C, Salles TD, Falconer T, Jonnagaddala J, Williams A, Fernández-Bertolín S. Can we trust the prediction model? Illustrating the importance of external validation by implementing the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets. JMIR medical informatics. 2021;9(4). Prediction Methods
334. Sun Y, Butler A, Stewart LA, Liu H, Yuan C, Southard CT, Kim JH, Weng C. Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. J Biomed Inform. 2021;118:103790. Epub 2021/04/23. doi: S1532-0464(21)00119-2 [pii] 10.1016/j.jbi.2021.103790. PubMed PMID: 33887457; PubMed Central PMCID: PMC8079156. Methods Other, Trial
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