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

Marvin N Carlisle   1 , BS ;   William A Pace   1 , BS ;   Andrew W Liu   1, 2 , BA ;   Robert Krumm   1 , BA ;   Janet E Cowan   1 , MA ;   Peter R Carroll   1, 3 , MD, MPH ;   Matthew R Cooperberg   1, 3, 4 , MD, MPH ;   Anobel Y Odisho   1, 3, 4, 5 , MD, MPH

1 Department of Urology, University of California, San Francisco, San Francisco, CA, United States

2 Chan Medical School, University of Massachusetts, Worcester, MA, United States

3 Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States

4 Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, United States

5 Department of Medicine, Division of Clinical Informatics and Transformation, School of Medicine, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Anobel Y Odisho, MD, MPH
  • Department of Urology
  • University of California, San Francisco
  • 550 16th Street, Box 1695
  • San Francisco, CA 94158
  • United States
  • Phone: 1 5109126645
  • Email: anobel.odisho@ucsf.edu