{"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\/es\/2023\/10\/google-brings-ai-to-healthcare-with-vertex-ai-search\/","title":{"rendered":"Google lleva la IA a la sanidad con Vertex AI Search"},"content":{"rendered":"<p><strong>Para prestar una asistencia sanitaria eficaz, el m\u00e9dico necesita disponer de informaci\u00f3n precisa sobre el paciente, de modo que pueda tomar las decisiones terap\u00e9uticas adecuadas. La naturaleza distribuida y desestructurada de los historiales m\u00e9dicos dificulta esta tarea.<\/strong><\/p>\n<p>En la conferencia sobre innovaci\u00f3n sanitaria HLTH 23, <a href=\"https:\/\/cloud.google.com\/blog\/topics\/healthcare-life-sciences\/google-cloud-talks-generative-ai-at-hlth-23\" target=\"_blank\" rel=\"noopener\">Google anunci\u00f3<\/a> nuevas capacidades en su producto Vertex AI Search que resolver\u00e1n este problema.<\/p>\n<p>Vertex AI Search es un motor de b\u00fasqueda basado en IA que las empresas pueden utilizar para acceder a sus propios datos estructurados y no estructurados.<\/p>\n<p>Los historiales de los pacientes suelen incluir resultados de pruebas, esc\u00e1neres, notas del m\u00e9dico y otros datos FHIR que son dif\u00edciles de interrogar para un m\u00e9dico. Vertex AI Search tuned for healthcare and life sciences es como un chatbot que lo sabe todo sobre el paciente.<\/p>\n<p>Un m\u00e9dico podr\u00eda hacer preguntas como \"\u00bfFuma el paciente?\" o \"\u00bfQu\u00e9 medicaci\u00f3n ha tomado en los \u00faltimos 12 meses?\" y obtener al instante las respuestas sin tener que rebuscar en los historiales de los pacientes.<\/p>\n<p>El beneficio inmediato es que esta soluci\u00f3n de IA puede liberar de tareas administrativas que impiden a muchos m\u00e9dicos ofrecer tratamiento a sus pacientes. A <a href=\"https:\/\/www.ama-assn.org\/practice-management\/digital\/allocation-physician-time-ambulatory-practice\" target=\"_blank\" rel=\"noopener\">Estudio de 2016<\/a> financiado por la Asociaci\u00f3n M\u00e9dica Estadounidense, descubri\u00f3 que los m\u00e9dicos dedicaban dos horas a tareas administrativas por cada hora que pasaban con un paciente.<\/p>\n<p>Imagine la mejora en el nivel de atenci\u00f3n sanitaria que podr\u00eda prestar un m\u00e9dico si no tuviera que rebuscar en los historiales de los pacientes o encontrar los c\u00f3digos de facturaci\u00f3n adecuados para un procedimiento.<\/p>\n<h2>A\u00fan mejor con Med-Palm 2<\/h2>\n<p>Vertex AI Search es excelente para comprender la intenci\u00f3n de una consulta y extraer la respuesta correcta de un mont\u00f3n de datos. Combinando esto con la potencia de <a href=\"https:\/\/dailyai.com\/es\/2023\/07\/google-begins-testing-its-med-palm-2-medical-question-answering-model\/\">Med-Palm 2<\/a>El LLM m\u00e9dico de Google puede ayudar a los m\u00e9dicos a tomar decisiones informadas de forma m\u00e1s r\u00e1pida y eficaz.<\/p>\n<p>La soluci\u00f3n definitiva para la atenci\u00f3n sanitaria con IA pasa por aprovechar un conjunto de herramientas creadas por Google.<\/p>\n<ul>\n<li><strong>Motor de datos sanitarios de Google Cloud<\/strong> - Combina datos cl\u00ednicos de distintas fuentes en un historial longitudinal del paciente.<\/li>\n<li><strong>BigQuery<\/strong> - Los registros se cargan en BigQuery, el almac\u00e9n de datos de Google. BigQuery facilita el an\u00e1lisis o la consulta de los datos.<\/li>\n<li><strong>V\u00e9rtice AI B\u00fasqueda<\/strong> - Utiliza la API de Google Healthcare y la IA para comprender la intenci\u00f3n de la consulta y extraer la respuesta del modelo ML de BigQuery.<\/li>\n<li><strong>Med-Palm 2<\/strong> - Puede analizar la informaci\u00f3n del paciente que extrae Vertex AI Search y, a continuaci\u00f3n, ofrecer informaci\u00f3n y sugerir diagn\u00f3sticos y tratamientos.<\/li>\n<\/ul>\n<p>Proveedores sanitarios como la Cl\u00ednica Mayo ya est\u00e1n integrando la herramienta en algunas de sus operaciones.<\/p>\n<p>Vish Anantraman, CTO de Mayo Clinic, ha declarado: \"La sanidad es una industria intensiva en datos, con la mayor parte del conocimiento m\u00e9dico encerrado en documentos y textos no estructurados... La nueva funcionalidad de b\u00fasqueda de Vertex AI proporciona a Mayo Clinic nuevas capacidades para utilizar los datos en apoyo de una amplia gama de aplicaciones.\"<\/p>\n<p>La Cl\u00ednica Mayo est\u00e1 utilizando la herramienta en casos de uso administrativo, pero a\u00fan no en la atenci\u00f3n cl\u00ednica. Los profesionales sanitarios est\u00e1n siendo muy cautos a la hora de confiar la atenci\u00f3n a los pacientes a la IA en lugar de a un m\u00e9dico.<\/p>\n<p>Si estos <a href=\"https:\/\/dailyai.com\/es\/2023\/09\/oracle-releases-a-healthcare-ai-clinical-digital-assistant\/\">Herramientas sanitarias de IA<\/a> Si se demuestra su eficacia y fiabilidad, deber\u00eda acelerarse su implantaci\u00f3n. En breve, la IA podr\u00eda facilitar a su m\u00e9dico la prestaci\u00f3n de una mejor asistencia sanitaria.<\/p>\n<p>A largo plazo, tambi\u00e9n podr\u00edamos ver <a href=\"https:\/\/dailyai.com\/es\/2023\/09\/chatgpt-beats-bing-chat-in-triage-of-ophthalmic-conditions\/\">Soluciones de autocuidado basadas en IA<\/a> que podr\u00edan ahorrarte una visita al m\u00e9dico.<\/p>","protected":false},"excerpt":{"rendered":"<p>Para prestar una asistencia sanitaria eficaz, el m\u00e9dico necesita disponer de informaci\u00f3n precisa sobre el paciente, de modo que pueda tomar las decisiones terap\u00e9uticas adecuadas. La naturaleza distribuida y desestructurada de los historiales m\u00e9dicos dificulta esta tarea. En la conferencia sobre innovaci\u00f3n sanitaria HLTH 23, Google anunci\u00f3 nuevas funciones en su producto Vertex AI Search que resolver\u00e1n este problema. Vertex AI Search es un motor de b\u00fasqueda basado en IA que las empresas pueden utilizar para acceder a sus propios datos estructurados y no estructurados. Los historiales de los pacientes a menudo incluyen resultados de pruebas, exploraciones, notas del m\u00e9dico y otros datos FHIR que son dif\u00edciles de interrogar para un m\u00e9dico. 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\/es\/2023\/10\/google-brings-ai-to-healthcare-with-vertex-ai-search\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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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