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AI to Support Mental Health Case Management Providers

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

Status
Enrolling by invitation
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06280170
Enrollment
280
Registered
2024-02-28
Start date
2024-02-19
Completion date
2025-12-31
Last updated
2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety Disorders, Depressive Disorder, Post Traumatic Stress Disorder, Substance Use Disorders

Keywords

Case management, Artificial Intelligence, Provider productivity, Mental health services, Provider satisfaction

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.

Interventions

OTHERArtificial Intelligence platform for case managers

Providers will have access to the Eleos Health mobile AI platform to document their case management encounters.

Sponsors

Centerstone Research Institute
CollaboratorOTHER
Eleos Health
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
OTHER
Masking
NONE

Masking description

The masking in this study involves a differential approach between providers and clients. Providers will be aware of whether they are in the Services-As-Usual (SAU) or Artificial Intelligence (AI) phase. However, participating clients will not be informed about the platform their provider is using to document their therapy sessions.

Intervention model description

This study will follow a stepped-wedge, randomized controlled design, where each provider team will undergo two phases: SAU and the AI platform phase. All teams will initially start with SAU, and the AI platform will be sequentially introduced to teams over time. Teams will be randomly assigned to different time periods for the AI platform phase using simple randomization. The order of implementation will be determined by randomly selecting the number of the team from sealed envelopes every two months. In both phases, the study will enroll new and existing clients. At the end of the trial all teams would have used Eleos for a few months

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

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.

Design outcomes

Primary

MeasureTime frameDescription
Case manager satisfactionBaseline, 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 productivity3 months before and 3 month after study start dateWe 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.
Case manager note completion time3 months before and 3 month after study start dateWe will record progress note completion time by hours since the time of service delivery (average, standard deviation, and range).

Secondary

MeasureTime frameDescription
Clients' crisis services utilization6 months before and 6 month after study start dateData on the clients' healthcare crisis encounters reported in the system will be collected

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026