---
title: "Winning under CMS TEAM: Building the learning health system to realize success in VBC today and tomorrow"
description: "CMS’s Transforming Episode Accountability Model (TEAM), beginning January 1, 2026, requires selected organizations to manage total cost and quality across five surgical episode categories and a 30-day post-discharge window. The post argues that retrospective dashboards and delayed claims data cannot support intervention or prepare hospitals for downside risk, especially amid complex integration across EHR, claims, post-acute, social-determinants, and provider data. It proposes a modern, cloud-native lakehouse foundation with unified data, operationalized AI/ML, embedded clinical workflows, and scalable architecture. Recommended capabilities include risk stratification, next-best-action decision support, post-acute optimization, provider benchmarking, and predictive performance alerts. In a composite 500-bed medical-center example, the approach is associated with 15% lower SNF costs, 8% better risk-capture completeness, and 12% fewer readmissions."
---

# Winning under CMS TEAM: Building the learning health system to realize success in VBC today and tomorrow

[Databricks](https://yomu.fyi/company/databricks) · Kayla Grieme, Benjamin Goldsteen, Shankara Ettigi · May 29, 2026

**Type:** Problem & solution

## Summary

CMS’s Transforming Episode Accountability Model (TEAM), beginning January 1, 2026, requires selected organizations to manage total cost and quality across five surgical episode categories and a 30-day post-discharge window. The post argues that retrospective dashboards and delayed claims data cannot support intervention or prepare hospitals for downside risk, especially amid complex integration across EHR, claims, post-acute, social-determinants, and provider data. It proposes a modern, cloud-native lakehouse foundation with unified data, operationalized AI/ML, embedded clinical workflows, and scalable architecture. Recommended capabilities include risk stratification, next-best-action decision support, post-acute optimization, provider benchmarking, and predictive performance alerts. In a composite 500-bed medical-center example, the approach is associated with 15% lower SNF costs, 8% better risk-capture completeness, and 12% fewer readmissions.

## Context

TEAM introduces accountability for total cost and quality across five high-volume surgical episode categories, with each episode extending from admission through 30 days after discharge. Hospitals must integrate EHR, claims, post-acute care, social-determinants, and provider-performance data, while delayed claims completion and retrospective reporting limit timely intervention and increase exposure to downside risk.

## Approach / What changed

The proposed approach is a unified, cloud-native data lakehouse integrating clinical, claims, operational, and community-provider data. It combines continuously operationalized AI/ML, embedded EHR and care-coordination workflows, scalable architecture, predictive risk and complication models, post-acute optimization, provider benchmarking, and cross-functional governance and program management.

## Takeaways

- TEAM covers lower extremity joint replacement, coronary artery bypass graft, surgical hip and femur fracture treatment, spinal fusion, and major bowel procedures, each with a 30-day accountability window spanning multiple care settings.
- For clinically similar patients, skilled nursing facility and home health costs can vary by 300–400%; the proposed response includes discharge-planning support, readmission alerts, facility benchmarking, and bi-directional data exchange.
- Industry benchmarking cited in the post recommends prioritizing risk capture, post-acute care optimization, and next-best-action decision support, which together typically deliver 60–70% of achievable savings in Year 1.

**Tags:** [Architecture](https://yomu.fyi/topic/architecture), [Lakehouse](https://yomu.fyi/topic/lakehouse), [Machine Learning](https://yomu.fyi/topic/machine-learning), [Value-Based Care](https://yomu.fyi/topic/value-based-care)

- Source: [Databricks](https://www.databricks.com/blog/winning-under-cms-team-building-learning-health-system-realize-success-vbc-today-and-tomorrow)
- Source URL: https://www.databricks.com/blog/winning-under-cms-team-building-learning-health-system-realize-success-vbc-today-and-tomorrow
- Ingested by Yomu: 2026-08-31T03:32:42.015Z

[Read original post](https://www.databricks.com/blog/winning-under-cms-team-building-learning-health-system-realize-success-vbc-today-and-tomorrow)