Predictive Modeling

Hilltop is at the forefront in the use of artificial intelligence (AI) and machine learning in applied health services research and analytics. Hilltop is collaborating with the Maryland Primary Care Program (MDPCP) to support the delivery of advanced primary care throughout the state and allow community providers to play a vital role in prevention, improving health outcomes, and controlling total health care spending growth. Hilltop designed and implemented the Hilltop Pre-AH Model that predicts the risk of avoidable hospitalizations for individuals in Maryland’s Medicare population. Hilltop also developed models to predict inpatient admissions or emergency department visits for severe diabetes complications and all-cause mortality, as well as a model of COVID-19 hospitalizations and a model of readmission for commercially insured patients.

08/04/2024

Behind the Curtain: Comparing Predictive Models Performance in 2 Publicly Insured Populations

12/19/2023

Risk Score Specifications and Codebook for The Hilltop Institute’s Pre- Models, Version 2

04/01/2023

The Hilltop Pre- Models: In Brief

04/01/2023

The Hilltop Pre-HE Model™: Hospice Eligibility & Advanced Care Planning Fact Sheet

03/01/2023

The Hilltop Pre-AH Model™: Avoidable Hospitalizations Fact Sheet

11/28/2022

Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons