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

Theme Issue 2025: Artificial Intelligence in Oncology (12) Clinical Informatics (1499) Clinical Information and Decision Making (2153) Natural Language Processing (995) mHealth in a Clinical Setting (804) Electronic Health Records (1423) Design and Usability of Clinical Software and EHRs (384) Artificial Intelligence (2465) Shared Electronic Health Records and Health Information Systems (101) Generative Language Models Including ChatGPT (890)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70708, first published .
Dentist and assistant review patient records on computer in dental office

Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study

Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study

Authors of this article:

Marvin N Carlisle1 Author Orcid Image ;   William A Pace1 Author Orcid Image ;   Andrew W Liu1, 2 Author Orcid Image ;   Robert Krumm1 Author Orcid Image ;   Janet E Cowan1 Author Orcid Image ;   Peter R Carroll1, 3 Author Orcid Image ;   Matthew R Cooperberg1, 3, 4 Author Orcid Image ;   Anobel Y Odisho1, 3, 4, 5 Author Orcid Image
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Journals

  1. van Koevorden J, Aben N, Struben V, Rollings A, Kurban M, Wessels L, van der Noort V, Burger A, van Dijk S, Karssemakers L, Smeele L, Wouters M, Dirven R. Validating large language model–assisted data extraction from clinical notes. ESMO Real World Data and Digital Oncology 2026;12:100718 View