{ "question": "How many doctors and hospitals use AI?", "answer": "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).", "period": "Jan-Feb 2026", "key_numbers": [ { "value": "72%", "label": "US physicians using at least one AI tool in their practice", "note": "AMA survey, Jan-Feb 2026, up from 48% in 2024", "stat": "healthcare/physicians-using-ai" }, { "value": "81%", "label": "Awareness or use of AI (AMA headline)", "note": "AMA, 2026: adds 9% unsure which AI tools their practice offers", "stat": "healthcare/physicians-ai-awareness-or-use" }, { "value": "39%", "label": "Physicians using AI for research summaries, the top use", "note": "AMA, 2026, up from 13% in 2024", "stat": "healthcare/physicians-ai-research-summaries" }, { "value": "19%", "label": "Physicians using AI to draft patient portal replies", "note": "AMA, 2026, up from 9% in 2024", "stat": "healthcare/physicians-ai-portal-message-drafts" }, { "value": "71%", "label": "US hospitals using predictive AI in their EHR", "note": "ASTP from AHA IT Supplement, 2024, up from 66%", "stat": "healthcare/hospitals-predictive-ai" }, { "value": "59%", "label": "Small hospitals (under 100 beds) using predictive AI", "note": "ASTP, 2024, against 96% of large hospitals", "stat": "healthcare/small-hospitals-predictive-ai" }, { "value": "20.7%", "label": "US health care and social assistance employer businesses using AI", "note": "Census BTOS, Nov 2025-Feb 2026, against 17.9% of all US employer businesses", "stat": "healthcare/healthcare-firms-ai-use-btos" } ], "tables": [ { "id": "physicians-2026", "title": "US physicians and AI in their practice, 2026", "columns": [ "Answer", "Share of physicians" ], "rows": [ [ "Use at least one AI tool in their practice", "72%" ], [ "Unsure which AI tools their practice offers", "9%" ], [ "No AI use in their practice", "19%" ], [ "Awareness or use (AMA headline: use plus unsure)", "81%" ] ], "row_ids": [ "phys-use", "phys-unsure", "phys-no-use", "phys-awareness-or-use" ], "note": "AMA question: which of 17 AI use cases do you currently incorporate into your practice? n = 1,342.", "source": "ama" }, { "id": "physician-uses", "title": "What US physicians use AI for, 2024 and 2026", "columns": [ "Use case", "2026", "2024" ], "rows": [ [ "Summaries of medical research and standards of care", "39%", "13%" ], [ "Discharge instructions, care plans or progress notes", "30%", "20%" ], [ "Billing codes, medical charts or visit notes", "28%", "21%" ], [ "Chart summaries", "28%", "12%" ], [ "Draft replies to patient portal messages", "19%", "9%" ], [ "Translation services", "18%", "14%" ], [ "Assistive diagnosis", "17%", "12%" ] ], "row_ids": [ "use-research-summaries", "use-discharge-notes", "use-billing-codes", "use-chart-summaries", "use-portal-drafts", "use-translation", "use-diagnosis" ], "note": "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.", "source": "ama" }, { "id": "hospitals-by-type", "title": "US hospitals using predictive AI in their EHR, by hospital type, 2023 and 2024", "columns": [ "Hospitals", "2023", "2024" ], "rows": [ [ "All non-federal acute care hospitals", "66%", "71%" ], [ "Small (under 100 beds)", "53%", "59%" ], [ "Medium (100 to 399 beds)", "75%", "80%" ], [ "Large (400 beds or more)", "90%", "96%" ], [ "Rural", "48%", "56%" ], [ "Urban", "77%", "81%" ], [ "Critical access hospitals", "46%", "50%" ], [ "Independent hospitals", "31%", "37%" ], [ "Members of a multi-hospital system", "81%", "86%" ] ], "row_ids": [ "hosp-all", "hosp-small", "hosp-medium", "hosp-large", "hosp-rural", "hosp-urban", "hosp-cah", "hosp-independent", "hosp-system" ], "note": "Predictive AI built into or launched from the EHR (machine learning or risk models). n = 2,425 (2023), 2,080 (2024).", "source": "astp-onc" }, { "id": "hospital-uses", "title": "What hospitals use predictive AI for: the fastest-growing uses", "columns": [ "Use, among hospitals using predictive AI", "2023", "2024", "Change" ], "rows": [ [ "Simplify or automate billing", "36%", "61%", "+25 points" ], [ "Facilitate scheduling", "51%", "67%", "+16 points" ], [ "Identify high-risk outpatients for follow-up care", "78%", "Not stated", "+9 points" ] ], "row_ids": [ "hosp-use-billing", "hosp-use-scheduling", "hosp-use-outpatients" ], "note": "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.", "source": "astp-onc" }, { "id": "businesses", "title": "US employer businesses using AI, Nov 2025 to Feb 2026", "columns": [ "Businesses", "Used AI in the last two weeks" ], "rows": [ [ "Health care and social assistance (NAICS 62)", "20.7%" ], [ "All US employer businesses", "17.9%" ] ], "row_ids": [ "firms-healthcare", "firms-all" ], "note": "Census BTOS AI supplement, pooled waves 17 Nov 2025 to 8 Feb 2026. A different period from the biweekly BTOS series.", "source": "census-btos" }, { "id": "history", "title": "US physicians using AI in their practice, every AMA survey", "columns": [ "Year", "Use at least one AI tool", "Awareness or use (AMA headline)" ], "rows": [ [ "2023", "38%", "Not measured (the 'unsure' option was added in 2024)" ], [ "2024", "48%", "66%" ], [ "2026", "72%", "81%" ] ], "note": "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).", "source": "ama" } ], "sources": [ { "name": "2026 Physician Survey on Augmented Intelligence", "publisher": "American Medical Association", "type": "industry", "url": "https://www.ama-assn.org/" }, { "name": "ASTP Data Briefs (patient portals; hospital predictive AI)", "publisher": "HHS Assistant Secretary for Technology Policy / Office of the National Coordinator for Health IT", "type": "official", "url": "https://www.healthit.gov/" }, { "name": "Business Trends and Outlook Survey", "publisher": "US Census Bureau", "type": "official", "url": "https://www.census.gov/" } ], "content_changed_on": "2026-10-30", "page_url": "https://digitaltreed.com/statistics/healthcare/ai-in-healthcare", "csv_url": "https://digitaltreed.com/statistics/healthcare/ai-in-healthcare.csv" }