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

Theme Issue: Artificial Intelligence (AI) in Nursing (20) Nursing in a Hospital Setting (141) Physician and Healthcare Worker Burnout (155) COVID-19 Vaccination (185) Vaccination Sentiment and Anti-Vaccination Infodemiology (92) Parent and Caregiver Education and Behavior Change for Vaccination (95) Natural Language Processing (945) Generative Language Models Including ChatGPT (789)

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 (3) 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
  2. Wolf N, Nguyen N, Mejia R. The use of artificial intelligence in decreasing vaccine skepticism and hesitancy. Current Opinion in Pediatrics 2026;38(2):136 View
  3. Christopoulou S, Antonopoulou H, Zapantis R, Gkintoni E, Halkiopoulos C. Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education. International Journal of Environmental Research and Public Health 2026;23(2):190 View