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

Journal: JMIR research protocols
PMID: 38749026

Abstract

BACKGROUND: There is an urgent need worldwide for qualified health professionals. High attrition rates among health professionals, combined with a predicted rise in life expectancy, further emphasize the need for additional health professionals. Work-related stress is a major concern among health professionals, affecting both the well-being of health professionals and the quality of patient care.

Authors

  • Jannic Stefan Bieri
    Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.
  • Catherine Ikae
    School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland.
  • Souhir Ben Souissi
    School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland.
  • Thomas Jörg Müller
    Private Clinic Meiringen, Bern, Switzerland.
  • Margarithe Charlotte Schlunegger
    Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.
  • Christoph Golz
    Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.

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