{"id":6309,"date":"2023-10-10T09:12:16","date_gmt":"2023-10-10T09:12:16","guid":{"rendered":"https:\/\/dailyai.com\/?p=6309"},"modified":"2023-10-10T09:12:16","modified_gmt":"2023-10-10T09:12:16","slug":"google-brings-ai-to-healthcare-with-vertex-ai-search","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/10\/google-brings-ai-to-healthcare-with-vertex-ai-search\/","title":{"rendered":"Google bringer AI til sundhedssektoren med Vertex AI Search"},"content":{"rendered":"<p><strong>For at levere effektiv sundhedspleje skal en kliniker have n\u00f8jagtige oplysninger om en patient, s\u00e5 der kan tr\u00e6ffes de rigtige behandlingsbeslutninger. Den distribuerede, ustrukturerede karakter af medicinske journaler g\u00f8r dette til en vanskelig opgave.<\/strong><\/p>\n<p>P\u00e5 HLTH 23-konferencen om sundhedsinnovation, <a href=\"https:\/\/cloud.google.com\/blog\/topics\/healthcare-life-sciences\/google-cloud-talks-generative-ai-at-hlth-23\" target=\"_blank\" rel=\"noopener\">Google annoncerede<\/a> nye funktioner i sit Vertex AI Search-produkt, som vil l\u00f8se dette problem.<\/p>\n<p>Vertex AI Search er en AI-drevet s\u00f8gemaskine, som virksomheder kan bruge til at f\u00e5 adgang til deres egne strukturerede og ustrukturerede data.<\/p>\n<p>Patientjournaler indeholder ofte testresultater, scanninger, l\u00e6genotater og andre FHIR-data, som er sv\u00e6re at gennemskue for en l\u00e6ge. Vertex AI Search tunet til sundheds- og biovidenskab er som en chatbot, der ved alt om patienten.<\/p>\n<p>En l\u00e6ge kan stille sp\u00f8rgsm\u00e5l som: \"Ryger patienten?\" eller \"Hvilken medicin har han taget de sidste 12 m\u00e5neder?\" og f\u00e5 svarene med det samme uden at skulle rode rundt i patientjournaler.<\/p>\n<p>Den umiddelbare fordel er, at denne AI-l\u00f8sning kan frig\u00f8re administrative opgaver, som afholder mange klinikere fra rent faktisk at behandle deres patienter. A <a href=\"https:\/\/www.ama-assn.org\/practice-management\/digital\/allocation-physician-time-ambulatory-practice\" target=\"_blank\" rel=\"noopener\">Unders\u00f8gelse fra 2016<\/a> finansieret af American Medical Association viste, at l\u00e6ger brugte 2 timer p\u00e5 administration for hver time, de tilbragte med en patient.<\/p>\n<p>Forestil dig den forbedring af sundhedsplejen, som en l\u00e6ge kunne levere, hvis han ikke beh\u00f8vede at gennemg\u00e5 patientjournaler eller finde de rigtige faktureringskoder for en procedure.<\/p>\n<h2>Endnu bedre med Med-Palm 2<\/h2>\n<p>Vertex AI Search er fantastisk til at forst\u00e5 hensigten bag en foresp\u00f8rgsel og derefter udtr\u00e6kke det rigtige svar fra en bunke data. Ved at kombinere dette med kraften i <a href=\"https:\/\/dailyai.com\/da\/2023\/07\/google-begins-testing-its-med-palm-2-medical-question-answering-model\/\">Med-Palm 2<\/a>Googles medicinsk tilpassede LLM kan hj\u00e6lpe l\u00e6ger med at tr\u00e6ffe informerede beslutninger hurtigere og mere effektivt.<\/p>\n<p>Den ultimative AI-sundhedsl\u00f8sning kommer ved at udnytte en r\u00e6kke v\u00e6rkt\u00f8jer, som Google har skabt.<\/p>\n<ul>\n<li><strong>Google Cloud Healthcare Data Engine<\/strong> - Kombinerer kliniske data fra forskellige kilder til \u00e9n langsg\u00e5ende patientjournal.<\/li>\n<li><strong>BigQuery<\/strong> - Registreringerne uploades til BigQuery, Googles datalager. BigQuery g\u00f8r det nemt at analysere eller foresp\u00f8rge p\u00e5 data.<\/li>\n<li><strong>Vertex AI-s\u00f8gning<\/strong> - Bruger Google Healthcare API og AI til at forst\u00e5 hensigten med foresp\u00f8rgslen og udtr\u00e6kke svaret fra BigQuery ML-modellen.<\/li>\n<li><strong>Med-Palm 2<\/strong> - Kan analysere de patientoplysninger, Vertex AI Search udtr\u00e6kker, og derefter levere indsigt og foresl\u00e5 diagnoser og behandlinger.<\/li>\n<\/ul>\n<p>Sundhedsudbydere som Mayo Clinic er allerede i gang med at integrere v\u00e6rkt\u00f8jet i nogle af deres aktiviteter.<\/p>\n<p>Vish Anantraman, CTO for Mayo Clinic, sagde: \"Sundhedsv\u00e6senet er en dataintensiv branche, hvor st\u00f8rstedelen af den medicinske viden er l\u00e5st inde i ustrukturerede dokumenter og tekst... Den nye s\u00f8gefunktionalitet fra Vertex AI giver Mayo Clinic nye muligheder for at bruge data til at underst\u00f8tte en lang r\u00e6kke applikationer.\"<\/p>\n<p>Mayo Clinic bruger v\u00e6rkt\u00f8jet i administrative sammenh\u00e6nge, men endnu ikke i klinisk behandling. Sundhedsudbydere er passende forsigtige med, hvor meget og hvor hurtigt patientpleje overdrages til AI i stedet for en menneskelig l\u00e6ge.<\/p>\n<p>Hvis disse <a href=\"https:\/\/dailyai.com\/da\/2023\/09\/oracle-releases-a-healthcare-ai-clinical-digital-assistant\/\">AI-v\u00e6rkt\u00f8jer til sundhedssektoren<\/a> viser sig at v\u00e6re effektiv og p\u00e5lidelig, s\u00e5 b\u00f8r vi se en hurtigere og bredere udrulning. AI kan snart g\u00f8re det meget lettere for din l\u00e6ge at give dig bedre sundhedspleje.<\/p>\n<p>P\u00e5 l\u00e6ngere sigt kan vi ogs\u00e5 se <a href=\"https:\/\/dailyai.com\/da\/2023\/09\/chatgpt-beats-bing-chat-in-triage-of-ophthalmic-conditions\/\">AI-drevne l\u00f8sninger til egenomsorg<\/a> Det kan spare dig for en tur til l\u00e6gen.<\/p>","protected":false},"excerpt":{"rendered":"<p>For at levere effektiv sundhedspleje skal en kliniker have n\u00f8jagtige oplysninger om en patient, s\u00e5 der kan tr\u00e6ffes de rigtige behandlingsbeslutninger. Den distribuerede, ustrukturerede karakter af l\u00e6gejournaler g\u00f8r dette til en vanskelig opgave. P\u00e5 HLTH 23-konferencen om sundhedsinnovation annoncerede Google nye funktioner i sit Vertex AI Search-produkt, som vil l\u00f8se dette problem. Vertex AI Search er en AI-drevet s\u00f8gemaskine, som virksomheder kan bruge til at f\u00e5 adgang til deres egne strukturerede og ustrukturerede data. Patientjournaler indeholder ofte testresultater, scanninger, l\u00e6genotater og andre FHIR-data, som det er sv\u00e6rt for en l\u00e6ge at gennemse. Vertex AI<\/p>","protected":false},"author":6,"featured_media":6311,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[150,102,204],"class_list":["post-6309","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-ai-benefits","tag-google","tag-healthcare"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google brings AI to healthcare with Vertex AI Search | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2023\/10\/google-brings-ai-to-healthcare-with-vertex-ai-search\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google brings AI to healthcare with Vertex AI Search | DailyAI\" \/>\n<meta property=\"og:description\" content=\"To deliver effective healthcare a clinician needs to have accurate information about a patient so that the right treatment decisions can be made. The distributed, unstructured nature of medical records makes this a difficult task. At the HLTH 23 healthcare innovation conference, Google announced new capabilities in its Vertex AI Search product that will solve this problem. Vertex AI Search is an AI-powered search engine that enterprises can use to access their own structured and unstructured data. Patient records often include test results, scans, doctor&#8217;s notes, and other FHIR data which is difficult for a doctor to interrogate. 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