Artificial Intelligence and Clinician Well-Being: Addressing Burnout through Technology Integration in Healthcare

This systematic review explores the impact of artificial intelligence<br/>(AI) on the well-being and burnout of healthcare professionals. With the increasing integration of AI into clinical settings, it is essential to understand its potential<br/>benefits and challenges for the healthcare workforce. This review identifies four<br/>key areas: AI for detecting burnout, AI-based interventions to reduce administrative workload, AI in patient interaction and workflow optimization, and ethical<br/>concerns. AI has the potential to alleviate clinician burnout by automating administrative tasks and supporting decision-making. However, challenges such as<br/>over-reliance on AI, erosion of clinical autonomy, and ethical issues related to<br/>data privacy and algorithmic bias must be carefully addressed. This review offers<br/>a foundation for future research and practical insights for developing AI tools<br/>that can enhance clinician well-being while aligning with human-centred care<br/>values

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-10-18
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Artificial Intelligence and Clinician Well-Being: Addressing Burnout through Technology Integration in Healthcare

Sarah Khavandi, Fatema Zaghloul
Journal of the Association for Information Systems
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence and Clinician Well-Being: Addressing Burnout through Technology Integration in Healthcare

Sarah Khavandi, Fatema Zaghloul
article en

Abstract

This systematic review explores the impact of artificial intelligence<br/>(AI) on the well-being and burnout of healthcare professionals. With the increasing integration of AI into clinical settings, it is essential to understand its potential<br/>benefits and challenges for the healthcare workforce. This review identifies four<br/>key areas: AI for detecting burnout, AI-based interventions to reduce administrative workload, AI in patient interaction and workflow optimization, and ethical<br/>concerns. AI has the potential to alleviate clinician burnout by automating administrative tasks and supporting decision-making. However, challenges such as<br/>over-reliance on AI, erosion of clinical autonomy, and ethical issues related to<br/>data privacy and algorithmic bias must be carefully addressed. This review offers<br/>a foundation for future research and practical insights for developing AI tools<br/>that can enhance clinician well-being while aligning with human-centred care<br/>values

Journal of the Association for Information Systems
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Artificial Intelligence in Healthcare and Education
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