Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization.

Conclusions: The predictability of the Blue Cross models show how member-specific, regional data can be used to accurately identify patients with a high ROH, which may allow healthcare workers to intervene earlier and subsequently reduce the healthcare burden for patients and providers. PMID: 31505982 [PubMed - as supplied by publisher]
Source: Journal of Medical Economics - Category: Health Management Tags: J Med Econ Source Type: research