Clearwater’s AI Benchmark Report for Healthcare
Closing the AI Governance Gap
2026 Report
Healthcare AI Governance
Healthcare organizations are at different points
in their AI governance journey, but the next
phase is about demonstrating that policies,
controls, and oversight are working in practice.
Past AI conversations focused on permission: which tools could be used, by whom, and under what policy.
Our research examines where healthcare organizations stand today, giving the industry a shared, honest baseline of governance gaps and risks.
91% of healthcare organizations cannot verify what AI is actually running in their environments
Only 4 in 10 healthcare organizations can demonstrate that they control how data is sent to AI tools.
86% of healthcare organizations cannot demonstrate that their vendors’ AI controls are fully verified.
WHY THIS RESEARCH MATTERS
Across the study, concern and policy adoption consistently outpace technical verification. As AI becomes embedded in enterprise platforms, vendor products, workflows, and agentic systems, organizations will need to:
- Move from Inventory to Discovery
- Policy to Enforcement,
- Attestation to Validation, and
- Documentation to Evidence
Get the report, learn about the state of AI Governance across healthcare organizations, and see how your organization compares.
INSIDE THE REPORT: SELF ASSESSMENT GUIDE
Ask your teams the three questions in this report’s
self-assessment section. Understand where you rely only on policy and documentation vs. evidence.
