Reveleer Enhances Value-Based Healthcare with AI-Powered Risk Adjustment Using Google Cloud
Reveleer developed a next-generation AI-powered prospective risk adjustment solution using Google Cloud Vertex AI and Gemini to provide clinicians with accurate, actionable patient insights. The solution extracts and analyzes structured and unstructured clinical data, including EHRs, lab reports, and doctor's notes, to improve patient outcomes and reduce provider abrasion. Developers built an AI agent pipeline that selects specific Gemini LLM models for different clinical interpretation tasks, robust evidence extraction, and clinical reasoning. The solution is integrated with Google Cloud data services like Cloud Run, BigQuery, Firestore, and Cloud Composer for real-time analytics and scalability. The AI delivers explainable, audit-ready insights directly into clinical workflows, empowering clinicians to prioritize care and advance value-based care performance.
- Organization
- Reveleer
- Industry
- Healthcare
- Location
- United States
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Healthcare Risk Adjustment
- 2Clinical AI Insights
- 3Generative AI for Healthcare
- Fragmented structured and unstructured health data impeded clinicians’ ability to get accurate, actionable patient insights.
- Existing tools lacked accuracy and produced false positives, limiting value-based care effectiveness.
- Clinicians faced provider abrasion and inefficient workflows due to inadequate patient data integration.
- Built hybrid AI solution powered by Google Gemini and Vertex AI to aggregate and analyze diverse clinical data sources.
- Developed AI agent pipeline selecting appropriate Gemini LLM versions for different tasks within the clinical interpretation process.
- Used Cloud Run to run AI models and Firestore and BigQuery for real-time data storage and analytics.
- Orchestrated data workflows with Cloud Composer for scalability and reliability.
- Improved accuracy of health risk predictions and reduced false positives compared to prior approaches.
- Delivered explainable, audit-ready clinical insights directly into physician workflows, enhancing decision-making.
- Empowered clinicians to focus on patient care and improved patient outcomes.
- Advanced value-based care performance across health organizations.
Sources & evidence1
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