AI to Support Mental Health Case Management Providers

N/AEnrolling By InvitationNCT06280170

Eleos Health280 enrolled

Overview

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 Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

OTHER

Masking

NONE

Enrollment

280

Conditions

Depressive Disorder Anxiety Disorders Substance Use Disorders Post Traumatic Stress Disorder

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Outcomes

Primary Outcomes

Case manager satisfaction

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.

Time frame: Baseline, and 4 months after the rollout of the Eleos Health tool.

Case manager productivity

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.

Time frame: 3 months before and 3 month after study start date

Case manager note completion time

We will record progress note completion time by hours since the time of service delivery (average, standard deviation, and range).

Time frame: 3 months before and 3 month after study start date

Secondary Outcomes

Clients' crisis services utilization

Data on the clients' healthcare crisis encounters reported in the system will be collected

Time frame: 6 months before and 6 month after study start date