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The crucial role of explainable artificial intelligence (XAI) in improving health care management

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...

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Hauptverfasser: Johannssen, Arne (VerfasserIn) , Chukhrova, Nataliya (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: September 2025
In: Health care management science
Year: 2025, Jahrgang: 28, Heft: 3, Pages: 565-570
ISSN:1572-9389
DOI:10.1007/s10729-025-09720-y
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s10729-025-09720-y
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s10729-025-09720-y
Volltext
Verfasserangaben:Arne Johannssen, Nataliya Chukhrova
Beschreibung
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.
Beschreibung:Online veröffentlicht: 30. September 2025
Gesehen am 10.12.2025
Beschreibung:Online Resource
ISSN:1572-9389
DOI:10.1007/s10729-025-09720-y

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