{"id":85023,"date":"2026-06-25T12:37:08","date_gmt":"2026-06-25T12:37:08","guid":{"rendered":"https:\/\/www.cofb.org\/?p=85023"},"modified":"2026-06-30T12:38:34","modified_gmt":"2026-06-30T12:38:34","slug":"lus-de-la-ia-aplicada-a-la-practica-farmaceutica-datencio-primaria","status":"publish","type":"post","link":"https:\/\/www.cofb.org\/es\/2026\/06\/25\/lus-de-la-ia-aplicada-a-la-practica-farmaceutica-datencio-primaria\/","title":{"rendered":"El uso de la IA aplicada a la pr\u00e1ctica farmac\u00e9utica de Atenci\u00f3n Primaria"},"content":{"rendered":"

El pasado 8 de junio, el Col\u00b7legi de Farmac\u00e8utics de Barcelona (COFB)<\/strong> organiz\u00f3 la formaci\u00f3n "IA aplicada a la pr\u00e1ctica farmac\u00e9utica de Atenci\u00f3n Primaria"<\/strong>, con la colaboraci\u00f3n de la Sociedad Espa\u00f1ola de Farmac\u00e9uticos de Atenci\u00f3n Primaria (SEFAP)<\/a> y el patrocinio de Novo Nordisk<\/a>. La formaci\u00f3n se dirigi\u00f3 a profesionales de atenci\u00f3n primaria y fue impartida por Mar\u00eda Garc\u00eda<\/strong>, farmac\u00e9utica de Atenci\u00f3n Primaria de la Agencia Valenciana de Salud, y por Carlos Fern\u00e1ndez<\/strong>, farmac\u00e9utico de Atenci\u00f3n Primaria en el \u00c1rea de Gesti\u00f3n Sanitaria noreste de Granada y miembro de la SEFAP. La vocal de Atenci\u00f3n Primaria del COFB, Cristina Morales<\/strong>, y la vocal de la SEFAP en Catalu\u00f1a, Roser Vall\u00e8s<\/strong>, coordinaron y presentaron la sesi\u00f3n.<\/p>\n\n\n\n

\"\"<\/a>
De izquierda a derecha: Mar\u00eda Garc\u00eda, Roser Vall\u00e8s, Carlos Fern\u00e1ndez y Cristina Morales. <\/figcaption><\/figure>\n\n\n\n

Los objetivos<\/strong> de la formaci\u00f3n fueron reconocer los conceptos b\u00e1sicos de IA aplicados a la pr\u00e1ctica farmac\u00e9utica<\/strong>, localizar y seleccionar informaci\u00f3n cient\u00edfica mediante herramientas de Inteligencia Artificial (IA)<\/strong>, organizar y gestionar bibliograf\u00eda con plataformas digitales, aplicar NotebookLM, Gemini y el Modelo de Lenguaje Grande (LLM)<\/strong> en casos pr\u00e1cticos de atenci\u00f3n primaria y evaluar los requisitos de seguridad<\/strong>, protecci\u00f3n de datos<\/strong> y normativa en el uso de sistemas de IA en salud<\/strong>.<\/p>\n\n\n\n

\u201c\u00bfCu\u00e1ntas veces al d\u00eda debe resolver una consulta farmacoterap\u00e9utica que le obliga a abrir tres o cuatro fuentes diferentes, revisar la ficha t\u00e9cnica, leer, resumir o comprobar?<\/strong>", pregunt\u00f3 Mar\u00eda Garc\u00eda al inicio de su presentaci\u00f3n. A lo largo de su exposici\u00f3n, la farmac\u00e9utica de atenci\u00f3n primaria explic\u00f3 que, en la actualidad, la IA realiza este trabajo inicial en cuesti\u00f3n de segundos. Ahora bien, asegur\u00f3 que "no le reemplazar\u00e1, sino que le liberar\u00e1 tiempo para que usted s\u00f3lo tenga que hacer el juicio cl\u00ednico<\/strong>\u201d.  <\/p>\n\n\n\n

\u201cLa IA nos ayuda a ahorrarnos mucho tiempo, pero debemos ser conscientes de que tiene algunas limitaciones y, por tanto, hay que saber manejar las respuestas que nos da para saber si tiene o no raz\u00f3n\u201d, asegur\u00f3. A lo largo de su intervenci\u00f3n, Garc\u00eda detall\u00f3 algunos conceptos clave como el Modelo de Lenguaje Grande (LLM)<\/strong>, \u201cque es una herramienta de IA entrenada con millones de datos (textos m\u00e9dicos, gu\u00edas, art\u00edculos y fichas t\u00e9cnicas) capaz de predecir la respuesta m\u00e1s probable a tu pregunta\u201d. Tambi\u00e9n hizo referencia al chat conversacional<\/strong>, que "funciona como un chatbot, ya que le pides que busque, redacte, resuma, traduzca, y el LLM responde en funci\u00f3n de su conocimiento predefinido seg\u00fan su entrenamiento". Sin embargo, incidi\u00f3 en la importancia de iterar, que en IA "es el proceso por el que afinas la pregunta dentro de una misma conversaci\u00f3n. Cuanto m\u00e1s iterios, m\u00e1s \u00fatil y precisa ser\u00e1 la respuesta para tu caso cl\u00ednico concreto".<\/p>\n\n\n\n

\"Mar\u00eda<\/a>
Mar\u00eda Garc\u00eda en su presentaci\u00f3n. <\/figcaption><\/figure>\n\n\n\n

Garc\u00eda destac\u00f3 la importancia del \u201cprompt<\/strong>" en inteligencia artificial, ya que determina la calidad del contenido. Asimismo, repas\u00f3 la funci\u00f3n de "thinking<\/strong>", que permite a la IA procesar la informaci\u00f3n de manera m\u00e1s anal\u00edtica. Mostr\u00f3 el uso de Claude, el modelo de Anthropic, comparti\u00f3 diferentes ejercicios pr\u00e1cticos y cerr\u00f3 haciendo referencia a la importancia de la regulaci\u00f3n<\/strong> de todas estas herramientas.<\/p>\n\n\n\n

A continuaci\u00f3n, intervino Carlos Fern\u00e1ndez<\/strong>, farmac\u00e9utico de Atenci\u00f3n Primaria en el \u00c1rea de Gesti\u00f3n Sanitaria noreste de Granada y miembro de la SEFAP, que mostr\u00f3 una parrilla con la descripci\u00f3n de diferentes inteligencias artificiales<\/strong> disponibles. En este sentido, habl\u00f3 de los \u201cchatbots\u201d generalistas<\/strong> como el Gemini<\/strong> (Google), el ChatGPT<\/strong> (OpenAI), el Claude<\/strong> (Anthropic), el Copiloto<\/strong> (Microsoft), el chAI<\/strong> (Grok), el Qwen Chat, la DeepSeek o Le Chat<\/strong>. Tambi\u00e9n comparti\u00f3 aplicaciones para la investigaci\u00f3n<\/strong> (como el Gemini Deep Research o el Deep Research de OpenAI), herramientas especializadas<\/strong> (como el NotebookLM), agentes de trabajo <\/strong>o de programaci\u00f3n<\/strong>. Ante este ecosistema, Fern\u00e1ndez recomend\u00f3 utilizar la aplicaci\u00f3n de IA que m\u00e1s se adecue a las necesidades de cada uno, puesto que est\u00e1n en constante actualizaci\u00f3n. \u201cNo intente estar a la \u00faltima sino que es mejor quedarse con aquella herramienta que le es de utilidad\u201d<\/strong>, recomend\u00f3.<\/p>\n\n\n\n

\"\"<\/a>
Carlos Fern\u00e1ndez en un momento de su intervenci\u00f3n. <\/figcaption><\/figure>\n\n\n\n

El farmac\u00e9utico profundiz\u00f3 en las 10 aplicaciones pr\u00e1cticas de la IA para Farmac\u00e9uticos de Atenci\u00f3n Primaria (FAP)<\/strong> y se centr\u00f3 especialmente en NotebookLM<\/strong>. Para practicar con la herramienta, Fern\u00e1ndez propuso varios ejercicios pr\u00e1cticos aplicados en el entorno sanitario. Asimismo, abord\u00f3 c\u00f3mo han cambiado los agentes y analiz\u00f3 en detalle la anatom\u00eda del revisor de tratamientos. <\/p>\n\n\n\n

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Con la colaboraci\u00f3n de:<\/strong><\/p>\n\n\n\n

\"\"<\/a><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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<\/div>\n\n\n\n
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Con el patrocinio de: <\/strong><\/strong><\/p>\n\n\n\n

\"\"<\/a><\/figure>\n<\/div>\n<\/div>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

El pasado 8 de junio, el Colegio de Farmac\u00e9uticos de Barcelona (COFB) organiz\u00f3 la formaci\u00f3n "IA aplicada a la pr\u00e1ctica farmac\u00e9utica de Atenci\u00f3n Primaria", con la colaboraci\u00f3n de la Sociedad Espa\u00f1ola de Farmac\u00e9uticos de Atenci\u00f3n Primaria (SEFAP) y el patrocinio de Novo Nordisk. La formaci\u00f3n se dirigi\u00f3 a profesionales [\u2026]<\/p>","protected":false},"author":3,"featured_media":85024,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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