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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Jun 4, 2026
Open Peer Review Period: Jun 6, 2026 - Aug 1, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

VAGPT and Free-Response Open Coding: Using AI for Qualitative Tasks within the Department of Veterans Affairs

  • Hari Haran Venkatachalam; 
  • Tali Schneider; 
  • Amanda M. Garcia; 
  • Tea Reljic; 
  • MIchelle Gaudet; 
  • Rachel N. Steele; 
  • Shannon R. Miles

ABSTRACT

This research assesses the ability of VAGPT, a large language model authorized for use in the Department of Veterans Affairs, to identify qualitative codes and its coding reliability when applied to free-response data from an anonymous survey of servicemembers' access to posttraumatic stress disorder treatments.


 Citation

Please cite as:

Venkatachalam HH, Schneider T, Garcia AM, Reljic T, Gaudet M, Steele RN, Miles SR

VAGPT and Free-Response Open Coding: Using AI for Qualitative Tasks within the Department of Veterans Affairs

JMIR Preprints. 04/06/2026:103618

DOI: 10.2196/preprints.103618

URL: https://preprints.jmir.org/preprint/103618

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