Georgia DBHDD streamlines risk assessments for behavioral health
The Georgia Department of Behavioral Health and Developmental Disabilities (GA-DBHDD) provides treatment and support for individuals with mental health conditions, substance use disorders, and intellectual or developmental disabilities. The organization operates across state hospitals and community-based providers, handling thousands of cases annually. GA-DBHDD faced significant delays in preparing risk assessments for inpatient forensic services, as clinicians manually reviewed up to 20 documents per patient over 8-12 hours per assessment, for more than 300 assessments annually. This manual process caused delays in care and increased clinician administrative burden. Partnering with Quisitive and Microsoft, GA-DBHDD led an AI strategy to identify and design a suitable technology solution. The resulting implementation introduced an AI-powered document generation platform and chatbot, leveraging Azure OpenAI Service, Cosmos DB, and Azure App Service. This solution analyzes and summarizes large volumes of unstructured patient data, automatically generating drafts of risk assessments. Clinicians receive context-aware summaries, reducing prep time by about four hours per case and freeing up time for direct patient care. The project is projected to save over 1,200 hours and annual costs of over $100,000. Ongoing partnership with Quisitive ensures governance, compliance, and continued optimization of the AI platform.
- Industry
- Healthcare
- Location
- United States
- Published
- May 2025
Reported outcomes
4 hours
timeTime & speed
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Automated Risk Assessment Generation for Behavioral Health
- 2AI Summarization of Multisource Patient Data
- 3Clinical Workflow Optimization in Inpatient Forensics
- Manual risk assessment preparation required 8-12 hours per assessment.
- Reviewing and summarizing up to 20 documents per patient was highly time-consuming.
- More than 300 assessments were processed annually, stretching resources thin.
- Care decisions were delayed due to inefficient workflow.
- Clinicians faced unsustainable administrative workloads.
- Implemented an AI-powered document generation platform and chatbot.
- Used Azure OpenAI Service to draft initial risk assessment summaries.
- Deployed Cosmos DB to manage structured and unstructured data.
- Utilized Azure App Service for scalable and secure application deployment.
- Partnered with Quisitive for AI strategy and managed services.
- Saved more than 4 hours per assessment, totaling over 1,200 hours annually.
- Projected annual administrative cost savings of over $100,000.
- Regained clinician time for direct patient care.
- Accelerated risk assessment decision-making and improved patient care outcomes.
Architecture
The solution includes an AI-powered document generation platform and chatbot built on Azure OpenAI Service, which analyzes and summarizes unstructured patient data to create risk assessment drafts. Cosmos DB manages the underlying structured and unstructured data and Azure App Service hosts the scalable, secure platform. The extracted and summarized data are presented to clinicians in a consolidated view, streamlining assessment preparation.
Implementation partners1
Sources & evidence1
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