Designing a Healthcare Co-Pilot with Generative AI...20th World Congress on Medical and Health Informatics, Aug 09 - 13, 2025, Taipei, Taiwan.

This paper presents our methodology for designing, testing, and evaluating a co-pilot tailored for healthcare professionals working in Spanish-speaking contexts. The co-pilot facilitates efficient access to textual information from clinical notes and structured data within Electronic Health Records...

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Detalles Bibliográficos
Publicado en:Studies in Health Technology & Informatics Vol. 329; pp. 618 - 623
Autores principales: MARIN, Francisco, CASTAÑO, José, SEGALINI, Agustín, BOTTA, Christian, BENITEZ, Sonia, OTERO, Carlos, LUNA, Daniel
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2025
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This paper presents our methodology for designing, testing, and evaluating a co-pilot tailored for healthcare professionals working in Spanish-speaking contexts. The co-pilot facilitates efficient access to textual information from clinical notes and structured data within Electronic Health Records (EHRs). Its primary objective is to save professionals' time while ensuring accurate information retrieval. The system leverages a Retrieval-Augmented Generation (RAG) architecture powered by state-of-the-art Large Language Models (LLMs). Our evaluation, conducted on a dataset of 3,500 yes/no questions, achieved an F1 score of 0.82, demonstrating its effectiveness in the target domain.