{"article":{"annotation":{"article_id":"harvard-study-documents-clinicians-use-of-generative-ai","available_at":"2026-10-16T10:37:13.604019Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"9fa549950b2395eb14105530c8f26b91694693117615c653295a568adf5863ef","input_sha256":"713eb710fce76b9250520dd8b86bfb55ceb6b5ba7ffe42af92889d6a3ca93f55","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. Unknown country/city/coordinates remain absent; no automatic geocoding.","Article geometries keep their stated precision and methodology; reproducing them is not independent coordinate verification."],"method":"controlled-rules-v1","places":[{"admin1":null,"city":null,"coordinate_note":null,"coordinate_reference_system":"OGC:CRS84","coordinate_source":null,"country":"US","evidence":[{"field":"country","language":"en","note":"Explicit preserved editorial country/region; no city or national centroid inferred","source_urls":["https://hms.harvard.edu/news/first-large-scale-study-shows-how-doctors-use-ai-medicine"]}],"geometry":null,"id":"iso3166-1:US","kind":"country-or-area","labels":{"ar":"الولايات المتحدة الأمريكية","en":"United States of America","es":"Estados Unidos de América","fr":"États-Unis d’Amérique"},"match_status":"candidate","precision":"regional","role":"coverage","uncertainty_m":null}],"rules_sha256":"fb5ad3c27c91cb840f7a0a05f7f64a5cb26ad0374409ff9457f277c7092e22b4","schema_version":1,"subjects":[{"concept_id":"medtop:20001298","confidence":null,"confidence_method":null,"evidence":[{"field":"en.title+en.summary","language":"en","note":"Subject suggested from the title or summary: AI","source_urls":["https://hms.harvard.edu/news/first-large-scale-study-shows-how-doctors-use-ai-medicine"]}],"method":"controlled-rules-v1","rule_id":"artificial-intelligence","status":"candidate"}],"taxonomy_revision":"1f2db31d811fca07e99b16d402c10e2cc2965c9df1c7b41d9be348b40a24e7fb","taxonomy_version":"IPTC Media Topics 2026-Q2"},"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=de","category":"technology","content":{"key_points":[],"paragraphs":["Forschende der Harvard Medical School und des Brigham and Women’s Hospital untersuchten die Nutzung von OpenEvidence durch rund 950.000 US-amerikanische Ärztinnen und Ärzte, Physician Assistants und Nurse Practitioners. Die am 15. Oktober in JAMA veröffentlichte Studie berichtet, dass die Zahl der monatlich aktiven Nutzer zwischen Januar 2024 und Juni 2026 von 355 auf 703.265 stieg und die Fachkräfte 270 Millionen Anfragen stellten.","Die Klassifizierung einer Zufallsstichprobe von 38,8 Millionen Anfragen ergab, dass 51,9 % die klinische Entscheidungsfindung, besonders Behandlung und Versorgung, betrafen und 13,9 % die Diagnose. Die Studie misst die Nutzung einer Plattform; sie untersucht nicht, ob sich Patientenergebnisse verbessert haben. Die Forschenden nennen dies eine Frage für künftige Forschung."],"sections":[]},"corrections":[],"country":"US","data":{"blocks":[{"description":{"ar":"إعلان بحثي نُشر في 15 أكتوبر","de":"Forschungsmitteilung vom 15. Oktober","en":"Research announcement published 15 October","es":"Anuncio de investigación publicado el 15 de octubre","fr":"Annonce de recherche publiée le 15 octobre","pt":"Anúncio de pesquisa publicado em 15 de outubro","tr":"15 Ekim’de yayımlanan araştırma duyurusu"},"id":"source-record","items":[{"date":"2026-10-15","description":{"ar":"نحو 950 ألف ممارس سريري؛ و270 مليون استفسار بين يناير 2024 ويونيو 2026 وعينة مصنفة من 38.8 مليون استفسار.","de":"Rund 950.000 Kliniker; 270 Millionen Anfragen von Januar 2024 bis Juni 2026 und eine klassifizierte Stichprobe von 38,8 Millionen Anfragen.","en":"About 950,000 clinicians; 270 million queries from January 2024 to June 2026 and a classified sample of 38.8 million queries.","es":"Unos 950.000 profesionales clínicos; 270 millones de consultas entre enero de 2024 y junio de 2026 y una muestra clasificada de 38,8 millones.","fr":"Environ 950 000 cliniciens; 270 millions de requêtes de janvier 2024 à juin 2026 et un échantillon classé de 38,8 millions de requêtes.","pt":"Cerca de 950 mil profissionais clínicos; 270 milhões de consultas entre janeiro de 2024 e junho de 2026 e uma amostra classificada de 38,8 milhões.","tr":"Yaklaşık 950 bin klinisyen; Ocak 2024–Haziran 2026 döneminde 270 milyon sorgu ve 38,8 milyon sorguluk sınıflandırma örneklemi."},"label":{"ar":"دراسة استخدام OpenEvidence","de":"Studie zur OpenEvidence-Nutzung","en":"OpenEvidence usage study","es":"Estudio del uso de OpenEvidence","fr":"Étude sur l’utilisation d’OpenEvidence","pt":"Estudo de uso do OpenEvidence","tr":"OpenEvidence kullanım araştırması"},"status":"occurred"}],"methodology":{"ar":"أرقام الاستخدام من الدراسة التي عرضتها هارفارد؛ ولا ينبغي تفسيرها على أنها نتائج للمرضى أو تمثيلاً لاستخدام جميع الممارسين خارج هذه المنصة.","de":"Die Nutzungszahlen stammen aus der von Harvard beschriebenen Studie; sie sind weder Patientenergebnisse noch die gesamte klinische KI-Nutzung außerhalb dieser Plattform.","en":"Usage figures are from the study described by Harvard; they should not be read as patient outcomes or as all clinician use beyond this platform.","es":"Las cifras de uso proceden del estudio descrito por Harvard; no representan resultados de pacientes ni todo el uso clínico fuera de esta plataforma.","fr":"Les chiffres d’usage proviennent de l’étude présentée par Harvard; ils ne représentent ni des résultats patients ni tous les usages des cliniciens au-delà de cette plateforme.","pt":"Os números de uso vêm do estudo descrito por Harvard; não representam resultados de pacientes nem todo o uso clínico fora desta plataforma.","tr":"Kullanım sayıları makalenin Harvard açıklamasındaki çalışmadan alınmıştır; hasta sonuçları veya platform dışındaki tüm klinisyen kullanımı olarak yorumlanmamalıdır."},"sourceUrls":["https://hms.harvard.edu/news/first-large-scale-study-shows-how-doctors-use-ai-medicine"],"title":{"ar":"سجل البحث","de":"Forschungsnachweis","en":"Research record","es":"Registro de investigación","fr":"Dossier de recherche","pt":"Registro da pesquisa","tr":"Araştırma kaydı"},"type":"events","updatedAt":"2026-10-16T10:20:41+00:00"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai/data/source-record?lang=de&format=csv","json":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai/data/source-record?lang=de&format=json"},"id":"source-record"}],"data_types":["events"],"editorial_illustration":{"alt":"Konzeptionelle Darstellung von Technologie, Prozessoren und verbundenen 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Darstellung von Technologie, Prozessoren und verbundenen 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Medical School","publishedAt":"2026-10-15","url":"https://hms.harvard.edu/news/first-large-scale-study-shows-how-doctors-use-ai-medicine"}],"summary":"Eine Studie mit rund 950.000 US-amerikanischen Klinikern ergab, dass die meisten Anfragen an eine KI-Plattform Behandlungsentscheidungen betrafen.","text":"Eine Studie mit rund 950.000 US-amerikanischen Klinikern ergab, dass die meisten Anfragen an eine KI-Plattform Behandlungsentscheidungen betrafen.\n\nForschende der Harvard Medical School und des Brigham and Women’s Hospital untersuchten die Nutzung von OpenEvidence durch rund 950.000 US-amerikanische Ärztinnen und Ärzte, Physician Assistants und Nurse Practitioners. Die am 15. Oktober in JAMA veröffentlichte Studie berichtet, dass die Zahl der monatlich aktiven Nutzer zwischen Januar 2024 und Juni 2026 von 355 auf 703.265 stieg und die Fachkräfte 270 Millionen Anfragen stellten.\n\nDie Klassifizierung einer Zufallsstichprobe von 38,8 Millionen Anfragen ergab, dass 51,9 % die klinische Entscheidungsfindung, besonders Behandlung und Versorgung, betrafen und 13,9 % die Diagnose. Die Studie misst die Nutzung einer Plattform; sie untersucht nicht, ob sich Patientenergebnisse verbessert haben. Die Forschenden nennen dies eine Frage für künftige Forschung.","title":"Harvard-Studie dokumentiert, wie medizinisches Personal KI nutzt","topics":[],"translations":[{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=tr","language":"tr","url":"https://newsverum.com/tr/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=en","language":"en","url":"https://newsverum.com/en/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=ar","language":"ar","url":"https://newsverum.com/ar/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=fr","language":"fr","url":"https://newsverum.com/fr/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=es","language":"es","url":"https://newsverum.com/es/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=de","language":"de","url":"https://newsverum.com/de/news/harvard-study-documents-clinicians-use-of-generative-ai"},{"api_url":"https://newsverum.com/api/v1/articles/harvard-study-documents-clinicians-use-of-generative-ai?lang=pt","language":"pt","url":"https://newsverum.com/pt/news/harvard-study-documents-clinicians-use-of-generative-ai"}],"url":"https://newsverum.com/de/news/harvard-study-documents-clinicians-use-of-generative-ai"},"version":"1"}