The 2026 Healthcare AI Readiness Index, a survey of 70 healthcare leaders conducted by Cotiviti and MedCity News over the summer of 2026, finds that AI adoption has moved past the experimental phase. The new challenge is building the governance, security, and accountability frameworks to manage tools that are already embedded in clinical, financial, and administrative workflows.
More than 70% of respondents said they have begun using AI tools. The depth of that integration varies sharply by sector. Nearly 40% of health insurers described AI as a core aspect of their business. Providers are earlier in the curve, with more than 70% still in the early stages of adoption.
Security gaps and shadow AI
While usage is climbing, the systems to secure it are not keeping pace. Only 42% of payers and 32% of providers reported being "very prepared" to respond to AI-assisted cyberattacks. The survey also uncovered widespread use of unauthorized tools. More than half of payers (60%) and 64% of providers said employees are using non-integrated "shadow AI" tools. Fewer than 40% of organizations have detailed policies governing employee use of AI.
"AI is quickly becoming part of the infrastructure of healthcare, but the security and governance around it have to advance just as quickly," said Ric Sinclair, CEO of Cotiviti. "As health plans and healthcare organizations rely on AI across more critical workflows, they need confidence that the technology and partners throughout their ecosystems meet the same high standards for security, governance and responsible use."
Building operational foundations
The Index goes beyond measuring adoption rates to examine how leaders are constructing the operational base required for responsible AI use. The findings point to a gap between the speed of deployment and the maturity of oversight. For professionals working in AI for Healthcare, the data underscores a shift in what readiness means. It is less about initial implementation and more about continuous control.
Payers and providers face distinct pressure points. Insurers are managing AI that directly influences claims decisions and payment integrity, making auditability a priority. Providers are navigating clinical decision support tools where patient safety is at stake. Both sectors, however, share the same underlying problem: governance frameworks are still being written for tools that are already in use.
Why this matters for healthcare professionals
The report signals a clear priority shift for healthcare organizations. Budget and attention are moving from AI adoption toward AI governance, security, and policy development. For clinical, IT, and compliance teams, that means new demands for skills in vendor risk assessment, employee AI policy enforcement, and incident response planning for AI-augmented attacks. The Index is available from Cotiviti for organizations benchmarking their own readiness against these findings.
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