AI to Support Mental Health Case Management Providers

February 25, 2024 updated by: Eleos Health

AI for All: Harnessing the Power of Artificial Intelligence in Mental Health Case Management

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.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

280

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Illinois
      • Alton, Illinois, United States, 62002
        • Centerstone

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

FOR PROVIDERS:

Participating providers must be Centerstone case managers.

FOR CLIENTS:

Inclusion Criteria:

  1. Participants must be adults.
  2. Participants must be receiving case management services from a Centerstone provider

Exclusion Criteria:

  1. Participants currently involved in any other concurrent research study will be excluded to avoid potential confounding factors.
  2. Participants with any medical conditions or medications that may significantly interfere with the study outcomes will be excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Sequential Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Services-as-usual (SAU)
During the services-as-usual (SAU) phase of this study, providers will deliver the routine case management services offered by Centerstone and report these services in the usual way they do.
Experimental: Artificial Intelligence (AI)
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.
Providers will have access to the Eleos Health mobile AI platform to document their case management encounters.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Case manager satisfaction
Time Frame: 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.
Baseline, and 4 months after the rollout of the Eleos Health tool.
Case manager productivity
Time Frame: 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.
3 months before and 3 month after study start date
Case manager note completion time
Time Frame: 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).
3 months before and 3 month after study start date

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clients' crisis services utilization
Time Frame: 6 months before and 6 month after study start date
Data on the clients' healthcare crisis encounters reported in the system will be collected
6 months before and 6 month after study start date

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 19, 2024

Primary Completion (Estimated)

June 30, 2025

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

January 30, 2024

First Submitted That Met QC Criteria

February 25, 2024

First Posted (Actual)

February 28, 2024

Study Record Updates

Last Update Posted (Actual)

February 28, 2024

Last Update Submitted That Met QC Criteria

February 25, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The confidentiality and privacy of the participants' data are paramount, and sharing individual-level data could compromise their privacy. Therefore, the study does not include provisions for sharing IPD with other researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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