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Optimizing Care Gaps in FQHCs

Client / Partner
Federally Qualified Health Centers (FQHCs) in underserved regions
Problem Overview

FQHCs struggled with fragmented Medicaid patient data, low chronic disease compliance rates, and challenges in monitoring patient care outcomes.

Solution Implemented
Integrated SYNCMesh and AI models to centralize data, manage care gaps, and enable automatic cohort formation based on patient profiles.
Key Features / Components
  • Medicaid Patient Data Integration
  • HEDIS Quality Measure Dashboards
  • Chronic Disease Management Plans
  • ML-Based Cohort Formation
  • Timely Intervention Support (calls, appointments, screenings)
Impact & Outcomes
  • 40% improvement in patient data processing
  • 30% boost in compliance for chronic conditions
  • Better insight-driven care via automated patient segmentation

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