AI for All: Harnessing the Power of Artificial Intelligence in Mental Health Case Management
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 280
- 试验地点
- 2
- 主要终点
- Case manager note completion time
研究概览
简要总结
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:
- Is the AI platform acceptable and feasible for case managers?
- 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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Sequential
- 主要目的
- Other
- 盲法
- None
盲法说明
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.
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •FOR PROVIDERS:
- •Participating providers must be Centerstone case managers.
- •FOR CLIENTS:
- •Inclusion Criteria:
- •Participants must be adults.
- •Participants must be receiving case management services from a Centerstone provider
排除标准
- •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.
研究组 & 干预措施
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.
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.
干预措施: Artificial Intelligence platform for case managers (Other)
结局指标
主要结局
Case manager note completion time
时间窗: 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
时间窗: 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
时间窗: 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.
次要结局
- Clients' crisis services utilization(6 months before and 6 month after study start date)