Predictors of Rural Hospital Closures in the United States: A Systematic Review and Call for AI-Driven Early Warning Systems

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Examines financial, workforce, policy, economic, market, and demographic factors related to rural hospital closures and the development of AI warning systems based on these factors. Analyzes studies, published between 2013-2024, on rural hospital closures to identify closure predictors and discusses the creation of tools that may assist in identifying hospital distress, allowing stakeholders to intervene in a timely way.

Kiruthika Balakrishnan, Zhi Li, Hana E. Hinkle, et al.

BMC Health Services Research, 26, 86

12/2025

Closures of healthcare facilities and services · Hospitals · Technology for health and human services