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
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