Predicting avoidable hospital events in Maryland.

Morgan Henderson; Fei Han; Chad Perman; Howard Haft; Ian Stockwell

Study

Predicting avoidable hospital events in Maryland.

December 1, 2021

Henderson M, Han F, Perman C, et al. Health Serv Res. 2022;57(1):192-199.

View more articles from the same authors.

With the goal of improving allocation of scarce care coordination resources in primary care, this study utilized Medicare fee-for-service claims data to identify risk factors to identify individuals at risk of future avoidable hospital events. Risk factors in six domains were identified: diagnosis, pharmacy utilization, procedure history, prior utilization, social determinants of health, and demographic information.

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