Evaluating GenAI systems to combat mental health issues in healthcare workers: An integrative literature review.

Journal: International journal of medical informatics

Published Date: Jul 26, 2024

Abstract

BACKGROUND: Mental health issues among healthcare workers remain a serious problem globally. Recent surveys continue to report high levels of depression, anxiety, burnout and other conditions amongst various occupational groups. Novel approaches are needed to support clinician well-being.

Authors

C Levin

Faculty of School of Life and Health Sciences, Nursing Department, The Jerusalem College of Technology-Lev Academic Center, Jerusalem, Israel; The Department of Vascular Surgery, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Tel Aviv, Israel.
E Naimi

Department of Nursing, School of Health Professions, Faculty of Medicine, Tel Aviv University.
M Saban

Faculty of Social health and Welfare (M.S.), Haifa University, Haifa, Israel.

Keywords

Anxiety Artificial Intelligence Burnout, Professional Depression Health Personnel Humans Machine Learning Mental Disorders Mental Health Risk Factors

External Resources

View on PubMed Access via DOI PubMed (39079316)

Evaluating GenAI systems to combat mental health issues in healthcare workers: An integrative literature review.

Abstract

Authors

Keywords

External Resources

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