Published on in Vol 11, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42754, first published .
Clinical Source Data Production and Quality Control in Real-world Studies: Proposal for Development of the eSource Record System

Clinical Source Data Production and Quality Control in Real-world Studies: Proposal for Development of the eSource Record System

Clinical Source Data Production and Quality Control in Real-world Studies: Proposal for Development of the eSource Record System

Journals

  1. Wang B, Lai J, Liao X, Jin F, Yao C. Challenges and Solutions in Implementing eSource Technology for Real-World Studies in China: Qualitative Study Among Different Stakeholders. JMIR Formative Research 2023;7:e48363 View
  2. Wang B, Lai J, Cao H, Jin F, Li Q, Tang M, Yao C, Zhang P. Enhancing the interoperability and transparency of real-world data extraction in clinical research: evaluating the feasibility and impact of a ChatGLM implementation in Chinese hospital settings. European Heart Journal - Digital Health 2024;5(6):712 View
  3. Lee M, Kim K, Shin Y, Lee Y, Kim T. Advancements in Electronic Medical Records for Clinical Trials: Enhancing Data Management and Research Efficiency. Cancers 2025;17(9):1552 View
  4. Bailey C, Pearce I, Dinah C, Dodds M, Vidal-Brime L, Wilson A, Ellis J, Hall J, Pohler R, Shi B, Toshev D, Guymer R. Automated data collection from an electronic medical record for a prospective real-world study in patients with retinal disease (VOYAGER). Clinical Trials 2025 View

Books/Policy Documents

  1. Dachena C, Gatta R, Savino M, Orini S, Acampora N, Serra M, Patarnello S, Barillaro C, Masciocchi C. Artificial Intelligence in Medicine. View