About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Members of partner health plan aged 18-64
Disqualifiers
None
Trial design
Parallel
Treatments tested in this trial
Social Engagement Support System
Other interventionIn 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.
Treatment groups
Trial outcomes
Primary outcomes
Change in the prevalence of Health Related Social Needs (HRSNs) as assessed by the Maryland Department of Health HRSN Screening Tool
We will analyze social screening results from individuals in the treatment arm to determine if our system leads to the assessment of individuals with a higher social need profile.
Secondary outcomes
Change in the proportion of participants who receive social services who have a health-related social need
We will analyze engagement success (i.e., whether a member who was referred to services received assistance from a CBO) using secondary data to determine if our support system increased the likelihood of success.
Sponsors and contacts
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University of Maryland, Baltimore County
Lead sponsor
National Institute on Minority Health and Health Disparities (NIMHD)
Collaborator
This trial is not recruiting at the moment. You can still explore other options: