An adaptive and interpretable case grouping framework for healthcare payment systems

The proposed framework offers a theoretically sound and practically feasible method for case grouping in the medical insurance payment systems. Its flexibility and scalability support the development of more accurate and equitable reimbursement schemes.

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Publication Details

Journal
International Journal for Equity in Health
Published
2026-03-24
DOI
https://doi.org/10.1186/s12939-026-02813-2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

An adaptive and interpretable case grouping framework for healthcare payment systems

International Journal for Equity in Health
Artificial Intelligence in Healthcare
article

An adaptive and interpretable case grouping framework for healthcare payment systems

article en

Abstract

The proposed framework offers a theoretically sound and practically feasible method for case grouping in the medical insurance payment systems. Its flexibility and scalability support the development of more accurate and equitable reimbursement schemes.

International Journal for Equity in Health
Shenzhen University (CN), University Town of Shenzhen (CN), Shenzhen Genoimmune Medical Institute (CN)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare
DOIOpen Access PDFOpenAlex
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