CMS TEAM: Hospitals Brace for Value-Based Care Shift

Starting January 1, 2026, over 700 hospitals face a new mandate: the Centers for Medicare and Medicaid Services (CMS) Transforming Episode Accountability Model (TEAM). This program requires select organizations to manage the total cost and quality across five high-volume surgical episodes, from admission to 30 days post-discharge.

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Databricks

$190.0B

A unified data analytics and AI platform built on the lakehouse architecture.

The financial stakes are immense. Top-performing health systems could net millions annually in shared savings, while unprepared organizations risk substantial repayments. Traditional analytics infrastructure falls short, unable to support the proactive clinical decision-making TEAM demands.

Navigating the Data Maze

TEAM represents a significant evolution in bundled payments, focusing on complex surgical procedures including Lower Extremity Joint Replacement, Coronary Artery Bypass Graft (CABG), Surgical Hip and Femur Fracture Treatment, Spinal Fusion, and Major Bowel Procedures.

Each episode spans multiple care settings, creating unprecedented data integration challenges. Hospitals must consolidate EHR data, claims, post-acute care information, and social determinants of health.

Waiting months for claims data means performance is only discovered after it's too late to intervene. Industry data suggests two-thirds of hospitals could lose revenue under TEAM based on current spending patterns.

Winning under CMS TEAM requires building a learning health system capable of realizing success in value-based care today and tomorrow, according to Databricks.

The Modern Data Foundation

Success demands a unified data platform that integrates clinical, claims, and operational data. Cloud-native data lakehouse architectures are essential for handling this complexity at scale.

AI/ML integration is critical for predictive models that improve risk stratification and intervention recommendations. These models must be operationalized, not remain as isolated experiments.

Clinical insights need to be embedded directly into existing workflows, whether through EHR integration or care coordination platforms. Scalable architecture is also paramount to accommodate future episode expansions.

Critical Capabilities for Proactive Management

Health systems must implement data-driven capabilities for proactive episode management, including:

• Clinical Next Best Action Decision Support
• Proactive Care Gap Closure
• Patient Deterioration Alerts
• Advanced Risk Capture and Stratification
• Site of Care Planning
• Coordinated Post-Acute Care Pathways
• High-Value Provider Network Intelligence
• Ongoing Quality Improvement Identification

Intelligent decision support can deliver personalized recommendations at the point of care, identifying risk factors and suggesting interventions.

Post-acute care, a major spending driver, requires proactive monitoring and outreach to optimize SNF performance and discharge planning.

Variation in clinician performance necessitates continuously updated provider-level analytics and benchmarking.

Real-World Impact

A composite example shows a 500-bed medical center implementing a modern data foundation achieved a 15% reduction in SNF costs and a 12% reduction in readmissions.

Key metrics driving success included episode cost trends, quality composite scores, provider-level benchmarking, and high-risk episode identification.

Getting Started

Immediate actions include establishing clear governance and program management structures. Building cross-functional teams involving clinical leadership, IT, and finance is crucial.

Assessing the current state is vital: Can you identify all active TEAM episodes? Do clinicians access data in their workflows? Do you have predictive models?

Prioritizing use cases like risk capture, post-acute care optimization, and next best action decision support can deliver significant savings.

Long-term success requires investment in modern cloud data infrastructure, continuous integration, advanced analytics, and change management for clinical adoption.

Winning organizations will leverage partnerships for data platform infrastructure, domain expertise, and clinical engagement, ensuring these efforts are integrated.

The CMS TEAM program presents both opportunity and risk, with success determined by the data foundations built and the operational capabilities they enable.