Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43229, first published .
Electronic Source Data Transcription for Electronic Case Report Forms in China: Validation of the Electronic Source Record Tool in a Real-world Ophthalmology Study

Electronic Source Data Transcription for Electronic Case Report Forms in China: Validation of the Electronic Source Record Tool in a Real-world Ophthalmology Study

Electronic Source Data Transcription for Electronic Case Report Forms in China: Validation of the Electronic Source Record Tool in a Real-world Ophthalmology Study

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. 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;22(6):637 View
  4. Cissé M, Niang M, Anne A, Sidibé M, Traoré D, Traoré A, Traoré I, Bagayoko C. Development of a New Electronic Death Certificate and Death Management Module Integrated Into the Health Information System of a Tertiary Hospital in Mali: Implementation Report. JMIR Medical Informatics 2025;13:e62949 View

Books/Policy Documents

  1. Khan M, Rahman A, Ebrahim M, Fatima H. Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments. View

Conference Proceedings

  1. Wu J, Zuo Q, Pan H, Li P. 2025 IEEE International conference on Medical Artificial Intelligence (MedAI). Advancements in Automated Methods for Research Data Extraction and Integration from Electronic Health Records View