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

Scoping Review Protocols (265) Digital Health Reviews (1768) Occupational Health and Ergonomics/Prevention at the Workplace (315) Clinical Informatics (1367) Physician and Healthcare Worker Burnout (152) Natural Language Processing (933)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56267, first published .
Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

Authors of this article:

Jannic Stefan Bieri1 Author Orcid Image ;   Catherine Ikae2 Author Orcid Image ;   Souhir Ben Souissi2 Author Orcid Image ;   Thomas Jörg Müller3, 4 Author Orcid Image ;   Margarithe Charlotte Schlunegger1 Author Orcid Image ;   Christoph Golz1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Scherbakov D, Hubig N, Lenert L, Alekseyenko A, Obeid J. Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review. JMIR Mental Health 2025;12:e67192 View
  2. 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
  3. Ikae C, Ben Souissi S, Bieri J, Müller T, Feuz-Schlunegger M, Golz C. A scoping review of natural language processing for detecting work-related stress among health professionals. Discover Computing 2026;29(1) View

Conference Proceedings

  1. Warbhe M, Verma P. 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). A Review on the Applications of Natural Language Processing in Healthcare View