The 2026 AI in Healthcare Survey from Carta Healthcare surfaces some striking data points about risk, trust and the conditions under which AI actually performs. The findings challenge assumptions about full automation and point toward a different model entirely — one where the technology does not work around clinical expertise, but through it.
What are clinicians most worried about when AI operates without human involvement? What single factor matters most when it comes to trusting AI outputs? And what does the most sustainable path forward actually look like for health organizations and practices trying to balance efficiency with accountability?
The answers — grounded in responses from health care professionals working with these tools daily — may reframe how you think about AI.
