USA, IL, Chicago


A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients

Description

This research developed and tested a machine learning classifier using natural language processing to identify hospitalized patients at risk for HIV acquisition or transmission due to substance misuse or high-risk sexual behavior. While the model performed moderately well, gaps in how patient information is documented made accurate risk prediction difficult, highlighting the need for better data and tailored interventions in hospital settings.

Grant Number
R21 HS028511
Principal Investigator(s)

Clinical Decision Support Innovation Collaborative (CDSiC)

Description

The Clinical Decision Support Innovation Collaborative (CDSiC) created a learning community of patients, providers, policymakers, researchers, and developers to produce resources that advance patient-centered CDS, promote its adoption, practice, and measurement, and use standards to enable its implementation at scale.

Contract Number
75Q80120D00018