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Healthcare statisticsUpdated 30 Oct 2026

By Aijaz Alam

How many doctors and hospitals use AI?

72% of US physicians said they use at least one AI tool in their practice in January-February 2026, in the American Medical Association's survey of 1,692 physicians, up from 48% in 2024 and 38% in 2023. For hospitals, 71% of US non-federal acute care hospitals used predictive AI in their EHR in 2024 (ASTP).

  • 72%US physicians using at least one AI tool in their practiceAMA survey, Jan-Feb 2026, up from 48% in 2024
  • 81%Awareness or use of AI (AMA headline)AMA, 2026: adds 9% unsure which AI tools their practice offers
  • 39%Physicians using AI for research summaries, the top useAMA, 2026, up from 13% in 2024
  • 19%Physicians using AI to draft patient portal repliesAMA, 2026, up from 9% in 2024
  • 71%US hospitals using predictive AI in their EHRASTP from AHA IT Supplement, 2024, up from 66%
  • 59%Small hospitals (under 100 beds) using predictive AIASTP, 2024, against 96% of large hospitals
  • 20.7%US health care and social assistance employer businesses using AICensus BTOS, Nov 2025-Feb 2026, against 17.9% of all US employer businesses

The numbers

The full breakdown

US physicians and AI in their practice, 2026

AnswerShare of physicians
Use at least one AI tool in their practice72%
Unsure which AI tools their practice offers9%
No AI use in their practice19%
Awareness or use (AMA headline: use plus unsure)81%

AMA question: which of 17 AI use cases do you currently incorporate into your practice? n = 1,342.

What US physicians use AI for, 2024 and 2026

Use case20262024
Summaries of medical research and standards of care39%13%
Discharge instructions, care plans or progress notes30%20%
Billing codes, medical charts or visit notes28%21%
Chart summaries28%12%
Draft replies to patient portal messages19%9%
Translation services18%14%
Assistive diagnosis17%12%

Top seven of 17 use cases. n = 1,342 (2026), 1,183 (2024). AMA added two use cases in 2026, so waves are not strictly comparable.

US hospitals using predictive AI in their EHR, by hospital type, 2023 and 2024

Hospitals20232024
All non-federal acute care hospitals66%71%
Small (under 100 beds)53%59%
Medium (100 to 399 beds)75%80%
Large (400 beds or more)90%96%
Rural48%56%
Urban77%81%
Critical access hospitals46%50%
Independent hospitals31%37%
Members of a multi-hospital system81%86%

Predictive AI built into or launched from the EHR (machine learning or risk models). n = 2,425 (2023), 2,080 (2024).

What hospitals use predictive AI for: the fastest-growing uses

Use, among hospitals using predictive AI20232024Change
Simplify or automate billing36%61%+25 points
Facilitate scheduling51%67%+16 points
Identify high-risk outpatients for follow-up care78%Not stated+9 points

n = 1,696 (2023), 1,587 (2024). For high-risk outpatients ASTP gives the 2023 share and a rise of 9 percentage points, not the 2024 share.

US employer businesses using AI, Nov 2025 to Feb 2026

BusinessesUsed AI in the last two weeks
Health care and social assistance (NAICS 62)20.7%
All US employer businesses17.9%

Census BTOS AI supplement, pooled waves 17 Nov 2025 to 8 Feb 2026. A different period from the biweekly BTOS series.

Over time

US physicians using AI in their practice, every AMA survey

YearUse at least one AI toolAwareness or use (AMA headline)
202338%Not measured (the 'unsure' option was added in 2024)
202448%66%
202672%81%

AMA states 38% for 2023 in its 2026 report. It changed the question between waves: from 2024 it separates physicians who are unsure what their practice offers, and 2026 lists 17 use cases instead of 15. AMA says this limits strict comparability across waves. n = 1,081 (2023), 1,183 (2024), 1,342 (2026).

Why sources differ

Same question, different answers

NumberWhenWho measuredWhy it differs
72%Jan-Feb 2026AMA physician surveyNamed at least one AI use case in their practice
81%Jan-Feb 2026AMA physician survey (headline)Adds 9% who were unsure which AI tools their practice offers
38%2023AMA physician surveyEarlier wave without the 'unsure' option; AMA warns waves are not strictly comparable
71%2024ASTP/ONC from AHA IT SupplementHospitals, not doctors: predictive AI built into the EHR
20.7%Nov 2025-Feb 2026Census BTOSHealth care and social assistance businesses that used AI in the last two weeks

The figures range from about 21% to 81% because they count different things. The AMA's 81% is its headline, but it is 'awareness or use': it adds the 9% of physicians who were not sure which AI tools their practice offers to the 72% who named at least one use. The 72% is the cleaner answer to how many doctors use AI. Comparing it with 38% in 2023 overstates the jump a little, because AMA changed the question and added use cases between waves. The hospital figure of 71% is about institutions, not people: it counts hospitals with any predictive model built into the electronic health record, such as readmission risk or no-show prediction, and many of those tools run in the background without a doctor choosing them. The Census figure of 20.7% is lowest because it covers every health care and social assistance employer business, including small clinics, home care and child care, and asks only about the last two weeks. None of these counts patients who ask chatbots about their health.

What it means

How to use these numbers

AI has moved from a pilot to a routine part of practice for most US doctors in about three years. Explicit use went from 38% to 72%, and the average physician now uses 2.3 AI use cases, up from 1.1 in 2023. The growth is in paperwork and reading, not diagnosis: research summaries tripled to 39%, chart summaries more than doubled to 28%, and assistive diagnosis is at 17%.

Hospitals use a different kind of AI. Predictive models inside the EHR were in 71% of hospitals in 2024, and the fastest growth is administrative: billing (36% to 61%) and scheduling (51% to 67%). Among hospitals using predictive AI, 82% evaluated it for accuracy and 74% for bias in 2024.

The gap that matters is size. 96% of large hospitals use predictive AI, but only 59% of small ones, 56% of rural ones and 37% of independent ones. For a small practice or clinic, AI is likely to arrive through the EHR vendor and documentation tools, not through a separate project.

Method and sources

How it was measured

Method
Publisher
American Medical Association, 2026 Physician Survey on Augmented Intelligence (physicians); ASTP Data Brief No. 80 (hospitals); US Census Bureau BTOS AI supplement (businesses)
Sample
AMA: 1,692 US physicians, 15 Jan to 2 Feb 2026, n = 1,342 for the use question. ASTP: AHA IT Supplement, 2,080 non-federal acute care hospitals in 2024, response rate 51%.
Definition
AMA: physician currently incorporates at least one of 17 AI use cases into practice. ASTP: hospital uses machine learning or other predictive models embedded in or launched by its EHR.
Released
AMA: 12 March 2026. ASTP: September 2025. Census: 18 June 2026.
Checked at source
31 October 2026, in the AMA PDF and the ASTP Data Brief 80 PDF
Next release
Not announced for the AMA survey; the AHA IT Supplement runs yearly
Last changed
30 Oct 2026
Data files
CSV · JSON (stable links)
Sources
Cite this page

APA

DigitalTreed. (2026). How many doctors and hospitals use AI? https://digitaltreed.com/statistics/healthcare/ai-in-healthcare

MLA

"How many doctors and hospitals use AI?" DigitalTreed, 30 Oct 2026, https://digitaltreed.com/statistics/healthcare/ai-in-healthcare.

HTML link

<a href="https://digitaltreed.com/statistics/healthcare/ai-in-healthcare">How many doctors and hospitals use AI?</a> (DigitalTreed, Jan-Feb 2026)

FAQ

More questions people ask

Is it true that 81% of doctors use AI?

Not quite. 81% is AMA's 'awareness or use' figure for 2026. It includes 9% of physicians who were unsure which AI tools their practice offers. 72% named at least one AI use.

What do doctors use AI for most?

Summaries of medical research and standards of care (39% of physicians in 2026), then discharge instructions and care plans (30%), and billing codes or visit notes (28%).

Do small hospitals use AI?

Less than large ones. 59% of hospitals with under 100 beds used predictive AI in their EHR in 2024, against 96% of hospitals with 400 or more beds.

What is wrong?

Step 1 of 2. Pick the closest reason.

Reason

Every number on this page was checked at its original source (American Medical Association, HHS Assistant Secretary for Technology Policy / Office of the National Coordinator for Health IT, US Census Bureau). Free to cite with a link to this page.