Americans will accept healthcare AI help—but want people making the final call
A Pew survey of 3,488 US adults found broad openness to AI for translation and scheduling, but much less appetite for autonomous diagnosis or insurance decisions. The findings measure public preferences, not clinical performance.
The short version
- What happened
- Pew surveyed 3,488 US adults in June 2026 using its probability-based American Trends Panel; the full-sample margin of error is plus or minus 1.8 percentage points.
- Who it affects
- Patients may accept AI assistance while still expecting a named person to remain accountable. Health providers need task-specific consent, review and challenge routes rather than a single blanket statement that AI is used.
- What remains unproven
- US adults only
Keep in mind
US adults only
Attitudes rather than observed behaviour
No AI system tested
No clinical outcome measured
June fieldwork released in October
3% cumulative panel response rate
English- and Spanish-language interviews
Asian adult estimates primarily represent English speakers
Question wording can affect responses
Source analysis · 2 linked sources. Primary analysed source date: 29 October 2026.
Read the full report · 3 min The evidence, methods, implications and limitations
Acceptance depends on the task—and who keeps responsibility
Americans were most receptive where AI could assist a bounded task. Seventy-eight per cent were open to it translating for a patient: 26% would accept AI acting alone and 52% wanted a person to review the result. Scheduling drew 73% combined openness. Higher-stakes decisions changed the balance. For diagnosis, only 3% accepted AI acting alone, 47% accepted it with final human review and 41% wanted no AI role. For insurance claims, the corresponding shares were 5%, 38% and 46%.[1]
Trust is the deployment problem clinicians cannot treat as a footnote
Sixty per cent said they would be uncomfortable if their doctor used AI for diagnosis or treatment, compared with 30% who would be comfortable. Views of health outcomes were almost evenly divided: 37% expected improvement and 36% expected harm. Half said AI would worsen the security of patient information, while 47% expected a worse patient-doctor relationship. For clinicians and health services, that makes disclosure, meaningful review and a clear route to challenge an output part of implementation—not an optional communications layer.[1]
The distinction that matters
How willingness changed with the healthcare task
The survey separated AI acting alone from AI whose output receives final human review.
Translation
26% AI alone; 52% with review
78% open
Scan analysis
6% AI alone; 60% with review
66% open
Diagnosis
3% AI alone; 47% with review
50% open
Insurance claim
5% AI alone; 38% with review
43% open
The sample is strong, but attitudes are not clinical outcomes
SSRS surveyed 3,488 members of Pew's probability-based American Trends Panel from 22 to 28 June 2026, online or by live telephone in English and Spanish. Of 4,069 sampled panelists, 86% responded; the cumulative response rate after recruitment nonresponse and attrition was 3%. Results were weighted to US population benchmarks, and the full-sample sampling error is plus or minus 1.8 points. Question wording, panel attrition and social expectations can still shape answers. Confidence about deployment would require separate evidence on diagnostic accuracy, patient outcomes, access, privacy incidents, workload and appeals.[1][2]