Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/330722 
Year of Publication: 
2025
Citation: 
[Journal:] Health Care Management Science [ISSN:] 1572-9389 [Volume:] 28 [Issue:] 3 [Publisher:] Springer US [Place:] New York, NY [Year:] 2025 [Pages:] 565-570
Publisher: 
Springer US, New York, NY
Abstract: 
This current opinion explores the transformative potential of explainable artificial intelligence (XAI) for health care management systems. While AI has already demonstrated substantial benefits in clinical decision-making, operational efficiency and patient outcomes, its adoption is often hindered by the lack of transparency in AI-driven decision-making. XAI bridges this gap by providing interpretability, thereby increasing trust between policy-makers, clinicians, administrators and patients. However, despite promising examples, the explicit integration of XAI remains underexplored in health care management research. This current opinion therefore aims to emphasize the crucial role of XAI in improving health care management and to position it as an important topic for advancing the field, with Health Care Management Science (HCMS) playing a leadership role in fostering this development.
Subjects: 
Artificial intelligence (AI)
Ethical AI
Explainability
Interpretability
Medical decision-making
Quality improvement
Responsible AI
Transparency
Trustworthy AI
XAI
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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