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Regional Health System Reduces Hospital Readmissions by 19% Through a Population Health Platform

About the Client

The client is a regional health system managing multiple hospitals, outpatient clinics, and community care programs across a diverse patient population. The organization faced challenges in reducing preventable hospital readmissions due to fragmented clinical data spread across EHR systems, care management platforms, and community health sources. Limited interoperability and inconsistent data access made it difficult to identify high-risk patients and coordinate timely interventions. To address these challenges and improve care outcomes, the health system partnered with Zymr.

Key Outcomes

19% Reduction in Hospital Readmissions Within 12 Months
Unified Clinical Data Layer Across Multiple Source Systems

Business Challenges

The health system struggled with disconnected data across multiple EHRs, care management tools, and community health systems. Clinical and operational data existed in silos, limiting visibility into patient journeys and making it difficult for care teams to coordinate interventions effectively.

Without a reliable interoperability framework, patient data was inconsistent and difficult to normalize for analytics and reporting. Care managers lacked real-time insights into high-risk patients, resulting in delayed follow-ups and missed opportunities for proactive care.

The organization also faced challenges in population health segmentation and quality reporting. Existing workflows relied heavily on manual processes, reducing efficiency and limiting the ability to scale care coordination programs across the network.

The health system needed a scalable interoperability and analytics platform capable of integrating FHIR and HL7 data, improving patient visibility, and enabling proactive population health management.

Business Impacts / Key Results Achieved

Zymr helped the health system build an interoperability-to-analytics pipeline that unified clinical data across multiple systems and enabled proactive care management workflows. The solution improved patient visibility, strengthened care coordination, and supported data-driven population health initiatives.

  • 19% Reduction in Hospital Readmissions Within 12 Months
  • FHIR and HL7 Data Unified Across Multiple Systems
  • Improved High-Risk Patient Identification and Segmentation
  • Enhanced Care Coordination Across Clinical Teams
  • Faster Access to Analytics-Ready Population Health Data

Strategy and Solutions

Zymr implemented a scalable population health platform designed to connect fragmented healthcare systems and enable proactive care management.

  • FHIR and HL7 Data Integration
    Integrated clinical and operational data from multiple EHRs, care management systems, and community health platforms using FHIR and HL7 standards.
  • Interoperability-to-Analytics Pipeline
    Built a governed data pipeline that normalized and transformed source data into an analytics-ready dataset for reporting and population health analysis.
  • Population Health Segmentation
    Enabled advanced patient segmentation to identify high-risk populations and prioritize care interventions.
  • Proactive Care Management Workflows
    Implemented workflows that supported timely follow-ups, care coordination, and preventive outreach initiatives.
  • Centralized Clinical Data Layer
    Created a unified data foundation that improved visibility into patient history, care gaps, and longitudinal health outcomes.
  • Analytics and Reporting Enablement
    Delivered dashboards and reporting capabilities that provided actionable insights into readmission trends, quality measures, and operational performance.
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