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Social Determinants of Health (SDOH)Digital health

What this study is

The goal of this clinical trial is to determine if artificial intelligence and machine learning (AI/ML) models can help address social needs in Medicaid enrollees. The main questions it aims to answer are:

Can AI/ML models accurately identify social needs from administrative healthcare data?

Can AI/ML models accurately predict which people will engage with social supports?

Researchers will compare individuals who live in different regions to see if AI/ML models perform better than the status quo.

What's being tested

  • Social Engagement Support System

    Intervention · OTHER

    In this protocol, we will develop and deploy a set of machine learning models that use multiple individual- and community-level data sources to predict which members use the emergency department to fulfill social or non-urgent needs as opposed to treatment for urgent medical conditions. These models will identify individuals whose social needs are driving inappropriate utilization so that high-risk individuals will be given enhanced outreach services to facilitate completion of a comprehensive social needs assessment. We will also develop and deploy an engagement support system that identifies and displays the characteristics of members that prevent them from engaging with a Community Based Organization (CBO). This system will use artificial intelligence techniques to identify characteristics of individuals who have historically disengaged from the social service pipeline before receiving social services and suggest potential strategies for increasing engagement.

Study details

Sponsor
University of Maryland, Baltimore County
Conditions
Social Determinants of Health (SDOH)
Enrolling
249,660 people
Starts
2026-06
Est. completion
2029-04
Design
Single-blind, non-randomized, parallel groups
Record
View on ClinicalTrials.gov ↗