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Customer Story

Community Health Systems: Accelerating the Journey to Value-Based Care with Data-Driven MSSP Evaluation

Providers ACO Data & Analytics Financial Performance CareJourney 5 min

About the Customer

Community Health Systems (CHS), a four-hospital health system serving California’s Central Valley

Problem

Building a sustainable future for a safety-net health system

Community Health Systems (CHS), a four-hospital health system serving California’s Central Valley, faces challenges that are increasingly common among safety-net providers: a predominantly government-funded payer mix, rising healthcare costs, and growing pressure to improve outcomes while maintaining financial sustainability. 

With approximately 82% of its payer mix tied to government programs—including a large Medicaid population—CHS recognized that traditional fee-for-service reimbursement would not support its long-term mission. As the region’s primary trauma center and largest healthcare provider, CHS needed a strategy that would both strengthen care delivery and ensure organizational sustainability. 

For Lee Huskins, Senior Vice President of Population Health and Value-Based Care, the question was clear – how can a safety-net health system confidently transition into value-based care while building the infrastructure necessary to succeed? 

CHS knew the transition would require more than new contracts. It would require new analytics capabilities, population health workflows, and a deeper understanding of where the organization could successfully assume risk. 

Leadership was able to move from intuition-based planning to evidence-based decision-making supported by third-party data.
CareJourney provided immediate access to insights while broader platform implementation progressed.
Provider comparison and beneficiary attribution analysis helped identify opportunities to strengthen network adequacy and future MSSP performance.
CHS gained visibility into population characteristics and chronic disease prevalence that had previously been difficult to access.

The results described are specific to the customer’s data environment, technology stack, and operational context. Outcomes vary by factors such as implementation approach, data quality, organization size, and care model type. Actual savings and performance will depend on each customer’s configuration and use of Arcadia’s platform. Arcadia does not guarantee similar results for any customer.