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...
| Publicado en: | Studies in Health Technology & Informatics Vol. 329; pp. 618 - 623 |
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| Autores principales: | , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187334932&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187334932 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2025 vid: 329 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 187334932 187334932 187334932 10.3233/SHTI250914 187334932 ppf: 618 ppct: 5 formats: tig: atl: Designing a Healthcare Co-Pilot with Generative AI...20th World Congress on Medical and Health Informatics, Aug 09 - 13, 2025, Taipei, Taiwan. aug: au: MARIN, Francisco CASTAÑO, José SEGALINI, Agustín BOTTA, Christian BENITEZ, Sonia OTERO, Carlos LUNA, Daniel affil: Departamento de Informática en Salud, Hospital Italiano de Buenos Aires, Argentina sug: subj: Artificial Intelligence, Generative Electronic Health Records Information Retrieval Natural Language Processing Decision Support Systems, Clinical Spanish Language Health Personnel Congresses and Conferences Taiwan Taiwan Human Pilot Studies Comparative Studies Descriptive Statistics Data Analysis Software Communication Barriers Implementation Science Decision Making, Clinical Information Resources Sensitivity and Specificity Health Resource Utilization Quality Improvement Quality of Health Care ab: 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. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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