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

Theme Issue: Artificial Intelligence (AI) in Nursing (18) Nursing in a Hospital Setting (136) Physician and Healthcare Worker Burnout (152) COVID-19 Vaccination (180) Vaccination Sentiment and Anti-Vaccination Infodemiology (90) Parent and Caregiver Education and Behavior Change for Vaccination (92) Natural Language Processing (931) Generative Language Models Including ChatGPT (743)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73672, first published .
Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Authors of this article:

Samaneh Omranian1, 2 Author Orcid Image ;   Lu He3 Author Orcid Image ;   AkkeNeel Talsma4 Author Orcid Image ;   Arielle A J Scoglio5, 6 Author Orcid Image ;   Susan McRoy2 Author Orcid Image ;   Janet W Rich-Edwards1, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Ştefancu E, Maricuțoiu L. Assessment of Work-Related Subjective Well-Being Using Natural Language Processing of Employee Interviews. A Proof of Principle Investigation. Psychological Reports 2025 View