Background The progressive ageing in developed countries entails an increase in
multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to …

Predictive analytics are used in primary care to efficiently direct health care resources to
high-risk patients to prevent unnecessary health care utilization and improve health. Social …

Methods: We compared the performance and functioning of a predictive model of avoidable
hospitalization in 2 very different populations: Medicaid and Medicare enrollees in Maryland …

Objective To measure hospital quality based on routine data available in many health care
systems including the United States, Germany, the United Kingdom, Scandinavia, and …

Objective To evaluate whether race‐and sex‐based biases are present in a predictive
model of avoidable hospital (AH) events. Study Setting and Design We examined whether …

Background Reducing hospital readmissions is a federal policy priority, and predictive
models of hospital readmissions have proliferated in recent years; however, most such …

Predictive models are currently used for early intervention to help identify patients with a
high risk of adverse events. Assessing the accuracy of such models is a crucial part of the …

In this report, Hilltop discusses the findings of its empirical studies to identify the need for
developing a health information exchange solution to bridge the information gap during …

Evaluating the Impact of Geographic Granularity for Area-Based Social Determinants of
Health When Predicting Avoidable Hospital Page 1 Methods h SDOH in Health Care …