Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/330722 
Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Health Care Management Science [ISSN:] 1572-9389 [Volume:] 28 [Issue:] 3 [Publisher:] Springer US [Place:] New York, NY [Year:] 2025 [Pages:] 565-570
Verlag: 
Springer US, New York, NY
Zusammenfassung: 
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.
Schlagwörter: 
Artificial intelligence (AI)
Ethical AI
Explainability
Interpretability
Medical decision-making
Quality improvement
Responsible AI
Transparency
Trustworthy AI
XAI
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