AI to Support Mental Health Case Management Providers
- Conditions
- Substance Use DisordersDepressive DisorderAnxiety DisordersPost Traumatic Stress Disorder
- Interventions
- Other: Artificial Intelligence platform for case managers
- Registration Number
- NCT06280170
- Lead Sponsor
- Eleos Health
- Brief Summary
The goal of this clinical trial is to assess the effectiveness of an artificial intelligence (AI) platform for case managers in a nonprofit health system specializing in mental health and substance use disorder. The main questions it aims to answer are:
1. Is the AI platform acceptable and feasible for case managers?
2. Does the AI platform improve providers' productivity and reported interventions? Participants will be approximately 30 case managers and their 250 adult clients receiving case management services. Researchers will compare the provider productivity and work satisfaction prior to the implementation of the AI platform to following its implementation.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ENROLLING_BY_INVITATION
- Sex
- All
- Target Recruitment
- 280
- Participants must be adults.
- Participants must be receiving case management services from a Centerstone provider
- Participants currently involved in any other concurrent research study will be excluded to avoid potential confounding factors.
- Participants with any medical conditions or medications that may significantly interfere with the study outcomes will be excluded.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SEQUENTIAL
- Arm && Interventions
Group Intervention Description Artificial Intelligence (AI) Artificial Intelligence platform for case managers Once randomized to start using the AI-based platform for documenting their services, providers will have access to the Eleos Health platform, a secure and HIPAA-compliant tool specifically designed for documenting behavioral health encounters. This AI-powered platform enables providers to complete progress notes more quickly. Providers will complete the progress notes on their phones, and these notes will be integrated into the client's electronic health records.
- Primary Outcome Measures
Name Time Method Case manager note completion time 3 months before and 3 month after study start date We will record progress note completion time by hours since the time of service delivery (average, standard deviation, and range).
Case manager satisfaction Baseline, and 4 months after the rollout of the Eleos Health tool. Providers will complete a self-report assessment about their experience providing case management services. Providers will be asked to (a) report the number of of hours spent on documentation per week; (b) respond on a Likert Scale (1-5, 1="Not at all" and 5="highly stressed" regarding their stress level about documentation; and (c) respond on a Likert scale 1-5 (1="Not at all satisfied", 5="Highly satisfied"), indicating their satisfaction with their current role as a case manager.
Case manager productivity 3 months before and 3 month after study start date We will collect the number of encounters (i.e., case management visits provided) per month in the three months preceding the start of the study, and months 3-6 after the AI platform rollout.
- Secondary Outcome Measures
Name Time Method Clients' crisis services utilization 6 months before and 6 month after study start date Data on the clients' healthcare crisis encounters reported in the system will be collected
Trial Locations
- Locations (1)
Centerstone
🇺🇸Alton, Illinois, United States