Pontem One · Insight 26 Aug 2026
Evidence Audit Pontem One · 3 min read · 26 Aug 2026

Where “47% of patients use AI to find a doctor” came from

Four trade publications carried it. Agency decks repeat it. It is a SurveyMonkey sample of 992, published by a software vendor, and it is contradicted by a probability panel five times its size.

Listen to this piece
AUDIO
PENDING
n=992 EV / 05
Sample design, side by side SurveyMonkey quota n=992 · Gallup probability n=5,660

In mid-2026 a statistic began appearing across the healthcare trade press: 47% of patients now use artificial intelligence to research providers, up from 31%. TechTarget carried it. So did MediaPost, PR Newswire and Medical Economics. From there it moved into agency pitch decks, where it is doing a great deal of work.

It should not be. Here is where it comes from.

The methodology

The figure originates in a vendor report published by a company that sells reputation-management software to healthcare practices.

ElementWhat it actually was
PlatformSurveyMonkey
FieldworkApril 2026
Responses collected1,210
Removed for completing in under two minutes218
Final sample992
Sampling designQuota sample. No probability design.
Margin of errorNone stated
Published byA vendor selling healthcare reputation management

The report describes respondents as “representing multiple regions, incomes, and genders”. That is a quota description. It is not a probability sample, and it does not support inference to the US patient population.

What the better-designed research found

Four months before that fieldwork, West Health and Gallup surveyed 5,660 US adults on the Gallup Panel — a probability-based panel recruited by random-digit dialling and address-based sampling, weighted to the Current Population Survey, margin of error ±2.1 percentage points.

They found that one in four US adults, 25%, had used AI tools or chatbots for physical or mental health information or advice of any kind. Not for choosing a provider. For anything.

The arithmetic problem. A convenience sample of 992 reports that 47% use AI for the narrow task of researching providers. A probability sample of 5,660, fielded four months earlier, reports that 25% have used AI for health purposes at all. The narrower behaviour cannot be twice as common as the broader category containing it. One of these numbers is measuring people who answer online surveys about AI.

What this tells an Indian practice

The surveys discussed above do not measure the Indian population. They cannot establish how many patients in India use AI to choose a clinician. Treat them as evidence about their stated samples, and investigate local patient behaviour separately.

Why it spread

The number spread because it is useful. It gives an agency a reason for a practice to buy something, and it gives a trade publication a headline. The syndication chain carried the figure without the methodology at every step, which is how a SurveyMonkey panel becomes a fact about American patients across four publications inside a month.

This is not an accusation of dishonesty. Vendor research is a legitimate genre and the report discloses its own sample size. The failure is downstream, in the repetition.

What can honestly be said

  • A quarter of US adults have used AI for health information of some kind. Well evidenced.
  • The sources reviewed here do not establish how many Indian patients use AI to choose a clinician. We will not substitute an overseas percentage for an Indian measurement.

We would rather state the limits of the evidence than pick a number. And there is a measured finding pointing the other way in any case: through December 2025, local and provider searches showed no AI Overview presence at all. The part of health search that is about finding a named doctor is, so far, the part AI has left alone.

Our interest, declared. We sell answer engine optimisation. A statistic showing that patients pick their doctor through AI would help us sell it. We are not using it, because it does not hold up.
Sources
  1. rater8, 2026 Patient Choice Report — SurveyMonkey, fieldwork April 2026, 1,210 collected, 218 removed, final n=992. No margin of error stated. rater8.com
  2. West Health and Gallup, 5,660 US adults on the Gallup Panel, fielded 27 October – 22 December 2025, margin of error ±2.1 points. westhealth.org
  3. BrightEdge, Healthcare AI evolution on Google 2023–2025, 24 December 2025 — local and provider search AI Overview presence. brightedge.com

Want this checked on your own site?

We start with an audit, not a pitch: a crawl of your site and fifty live queries across Google AI Overviews, ChatGPT, Perplexity and Gemini.

Written by Manav Sadhwani, Founder, Pontem One. This page states the position as at 26 Aug 2026. It is not legal advice.