Accessibility settings

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

AI Language Models in Health Care (685) Theoretical Frameworks and Concepts (504) Natural Language Processing (1223) Design of Processes and Workflows (266) Theories, Models, and Frameworks in Human Factors (129) Generative Language Models Including ChatGPT (1399) Applications of AI (835)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96129, first published .
Digital data flow from files to laptop, showing analytics and user interaction.

Multimodule Human–Artificial Intelligence Collaboration Pipeline for Large Language Model–Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study

Multimodule Human–Artificial Intelligence Collaboration Pipeline for Large Language Model–Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study

Authors of this article:

Yunbing Bai1 Author Orcid Image ;   Joseph Finkelstein1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yunbing Bai   1 , MS ;   Joseph Finkelstein   1 , MD, PhD

1 Arizona Center for Telemedicine and Digital Health, College of Medicine, University of Arizona, Tucson, AZ, United States

Corresponding Author:

  • Yunbing Bai, MS
  • Arizona Center for Telemedicine and Digital Health
  • College of Medicine
  • University of Arizona
  • 1501 N Campbell Ave AHSL 1156
  • Tucson, AZ 85724-5105
  • United States
  • Phone: 1 5206263944
  • Email: yunbing@arizona.edu