Explainable artificial intelligence to assess hospital financial performance during the COVID-19 pandemic through operating margin metric
This study is among the first to integrate explainable AI with SHAP for hospital financial analysis during COVID-19, offering a blueprint for AI-powered, equity-focused stewardship. It can help leaders to balance cost containment with care quality while exposing systemic disparities in reimbursement structures.
Authors
- Seifollah Gholampour (ORCID: https://orcid.org/0000-0002-4924-4239)
- Arshia Dehghan
- Majid Asadi
Institutions
- Northern Michigan University (US)
- University of Chicago (US)
- Neurological Surgery (US)
Publication Details
- Journal
- Journal of Health Organization and Management
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1108/jhom-04-2025-0207
- Citations
- 1
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 3.13