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

Arne Johannssen & Nataliya Chukhrova

Health Care Management Science2025https://doi.org/10.1007/s10729-025-09720-yarticle
AJG 2ABDC B
Weight
0.52

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.

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https://doi.org/https://doi.org/10.1007/s10729-025-09720-y

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@article{arne2025,
  title        = {{The crucial role of explainable artificial intelligence (XAI) in improving health care management}},
  author       = {Arne Johannssen & Nataliya Chukhrova},
  journal      = {Health Care Management Science},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10729-025-09720-y},
}

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

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Evidence weight

0.52

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.47 × 0.4 = 0.19
M · momentum0.68 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.