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

Theme Issue 2025: Artificial Intelligence in Oncology (9) Clinical Information and Decision Making (1950) mHealth in a Clinical Setting (748) Natural Language Processing (929) Clinical Informatics (1347) Design and Usability of Clinical Software and EHRs (355) Artificial Intelligence (2180) Electronic Health Records (1334) Generative Language Models Including ChatGPT (734) Shared Electronic Health Records and Health Information Systems (96)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70708, first published .
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

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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