Predicting avoidable hospital events in Maryland
M Henderson, F Han, C Perman, H Haft… - Health Services …, 2022 - Wiley Online Library
Objective To develop and validate a prediction model of avoidable hospital events among
Medicare fee‐for‐service (FFS) beneficiaries in Maryland. Data sources Medicare FFS …
Medicare fee‐for‐service (FFS) beneficiaries in Maryland. Data sources Medicare FFS …
Assessing performance of ZCTA-level and Census Tract-level social and environmental risk factors in a model predicting hospital events
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 …
high-risk patients to prevent unnecessary health care utilization and improve health. Social …
Evaluating a predictive model of avoidable hospital events for race‐and sex‐based bias
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 …
model of avoidable hospital (AH) events. Study Setting and Design We examined whether …
Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons
Background Reducing hospital readmissions is a federal policy priority, and predictive
models of hospital readmissions have proliferated in recent years; however, most such …
models of hospital readmissions have proliferated in recent years; however, most such …