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

Methods and Feasibility Studies (383) Electronic Health Records (1065) eHealth Infrastructures (350) Clinical Informatics (1042) Data Science (276)

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

Authors of this article:

Bin Wang1 Author Orcid Image ;   Junkai Lai2 Author Orcid Image ;   Feifei Jin3, 4, 5 Author Orcid Image ;   Xiwen Liao1 Author Orcid Image ;   Huan Zhu6 Author Orcid Image ;   Chen Yao1, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

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

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