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

Arne Johannssen () and Nataliya Chukhrova ()
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Arne Johannssen: Harz University of Applied Sciences, Faculty of Business Studies
Nataliya Chukhrova: University of Heidelberg, Faculty of Medicine Mannheim, Department of Health Economics

Health Care Management Science, 2025, vol. 28, issue 3, No 11, 565-570

Abstract: 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.

Keywords: Artificial intelligence (AI); Ethical AI; Explainability; Interpretability; Medical decision-making; Quality improvement; Responsible AI; Transparency; Trustworthy AI; XAI (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10729-025-09720-y

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