Report

The State of Technology in Value-Based Care Report 2026

AI adoption is accelerating across value-based care, but governance, workflows, and readiness continue to lag.

Every organization surveyed now uses AI, but only 35% can document how they would catch an incorrect output, and just 13% of health plans describe themselves as well-prepared for current CMS audit conditions. Adoption has outpaced the governance, trusted data, and audit-ready workflows required to defend it. This second annual report, based on a Harris Poll survey of 200 payer and provider decision-makers with independent analysis by Mathematica, benchmarks value-based care technology maturity and identifies what separates organizations prepared for increasing regulatory scrutiny from those still closing the gap.

A sneak peek of what’s inside:
  • Why value-based care contract volume keeps growing even as payers' mean VBC business share fell from 55.1% to 47.5%
  • Why 98% of providers report having the right infrastructure while 94% still rely on manual VBC workflows
  • Why data security has overtaken data quality as the top investment priority, and the 69-point gap it exposes on real-time data access
  • What 93% of organizations now say about vendors overpromising on value-based care performance
  • What separates the 13% of health plans that describe themselves as audit-ready as Payment Year 2020 RADV audits begin

Access the Report

93% of organizations say AI vendors overpromised on value-based care

Third-party AI vendors now run core value-based care workflows, with 68% of payers and 74% of providers relying on them in 2026. Yet 93% of organizations agree AI vendors overpromised on their ability to support value-based care performance, and few are confident any single vendor's output could withstand CMS scrutiny. The question has shifted from which platform offers the most features to which vendor's outputs an organization is willing to defend under audit.

The full report details the criteria payers now apply, including integration depth, proven accuracy, and regulatory alignment, when evaluating AI vendors.

Download the Full 2026 Report →