This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (106) Secondary Use of Clinical Data for Research and Surveillance (453) Ontologies, Classifications, and Coding (309) Clinical Informatics (1257) Clinical Information and Decision Making (1807)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45116, first published .
Methods Used in the Development of Common Data Models for Health Data: Scoping Review

Methods Used in the Development of Common Data Models for Health Data: Scoping Review

Methods Used in the Development of Common Data Models for Health Data: Scoping Review

Authors of this article:

Najia Ahmadi1 Author Orcid Image ;   Michele Zoch1 Author Orcid Image ;   Patricia Kelbert2 Author Orcid Image ;   Richard Noll3 Author Orcid Image ;   Jannik Schaaf3 Author Orcid Image ;   Markus Wolfien1, 4 Author Orcid Image ;   Martin Sedlmayr1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Mayer C. Conversion of CPRD AURUM data into the OMOP common data model. Informatics in Medicine Unlocked 2023;43:101407 View
  2. Tsafnat G, Dunscombe R, Gabriel D, Grieve G, Reich C. Converge or Collide? Making Sense of a Plethora of Open Data Standards in Health Care. Journal of Medical Internet Research 2024;26:e55779 View
  3. Ahmadi N, Zoch M, Guengoeze O, Facchinello C, Mondorf A, Stratmann K, Musleh K, Erasmus H, Tchertov J, Gebler R, Schaaf J, Frischen L, Nasirian A, Dai J, Henke E, Tremblay D, Srisuwananukorn A, Bornhäuser M, Röllig C, Eckardt J, Middeke J, Wolfien M, Sedlmayr M. How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned. Orphanet Journal of Rare Diseases 2024;19(1) View
  4. Joo S, Yang S, Lee S, Park S, Park T, Rhee S, Cha J, Rhie S, Hwang H, Kim Y, Chung E. Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model. Pharmaceuticals 2024;17(10):1369 View
  5. Austin J, Lobo E, Samadbeik M, Engstrom T, Philip R, Pole J, Sullivan C. Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning. Journal of Medical Internet Research 2024;26:e58637 View
  6. Park E, Kim M, Kim J, Shin K, Ryu B. Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review. Healthcare Informatics Research 2025;31(1):4 View
  7. Grande Ratti M, Sánchez Del Roscio A, Pollán J, Diehl M, Pérez B. Study-A-Thon: Maratones Académicas para Acelerar la Investigación y la Colaboración Multicéntrica. Revista del Hospital Italiano de Buenos Aires 2025;45(1):e0000379 View
  8. Köhler S, Holtz S, Neff M, Schaaf J, von Wagner M, Müller B, Schütze D. Evaluating the Prototype of a Clinical Decision Support System in Primary Care: Qualitative Study. JMIR Formative Research 2025;9:e69875 View
  9. Gansky S, Cheng A, Mendhe D, Chavez A, Yeh H, Lanier K, Brown W, Hersch D, Huang E, Enders F, Phelan S. Common Data Element (CDE) Success from Community-Engagement Not Mandates: If You Build It [Data Warehouse], Will They [Participants] Come?. American Journal of Public Health 2025;115(S2):S110 View
  10. Greco M, Bose I, Pasinetti B, Cecconi M. Data quality for safer and more personalized perioperative care: a scoping review. Artificial Intelligence Surgery 2025;5(3):361 View
  11. Zheng Y, Zhang M, Wang C, Gao L, Xie J, Shen P, Sun Y, Feng M, You S, Sun F. Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric Analysis. JMIR Medical Informatics 2025;13:e72225 View

Books/Policy Documents

  1. Baumann A, Ahmadi N, Wolfien M. Computational Biology of Non-Coding RNA. View