Developing a RAG-Based Chatbot for Healthcare: A Case Study of the HeartWise AI Chatbot...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
HeartWise is a proof-of-concept Retrieval Augmented Generation (RAG) chatbot supporting self-care in coronary artery disease. Eight simulated scenarios were used to assess preliminary performance. Six cases (75%) produced guideline-consistent responses, while two vague medication-related queries exp...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 762 - 764 |
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| Autores principales: | , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2026
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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=194018912&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194018912 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2026 vid: 336 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194018912 194018912 194018912 10.3233/SHTI260274 194018912 ppf: 762 ppct: 2 formats: tig: atl: Developing a RAG-Based Chatbot for Healthcare: A Case Study of the HeartWise AI Chatbot...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: PELTONEN, Riina SETÄLÄ, Manu PELTONEN, Laura-Maria affil: Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland. sug: subj: Chatbot Information Retrieval Self Care Software Design Congresses and Conferences Italy Italy Case Studies Artificial Intelligence, Generative Simulations Descriptive Statistics Recovery Physical Activity Diet Stress Management Triage Pilot Studies Qualitative Studies Health Care Delivery ab: HeartWise is a proof-of-concept Retrieval Augmented Generation (RAG) chatbot supporting self-care in coronary artery disease. Eight simulated scenarios were used to assess preliminary performance. Six cases (75%) produced guideline-consistent responses, while two vague medication-related queries exposed limitations in context handling. Iterative refinements to the knowledge base, retrieval settings, and prompt engineering improved consistency. Given the small, qualitative evaluation, findings indicate early feasibility, not intended for clinical decision making. The study outlines practical design considerations for transparent, safe RAG applications in healthcare. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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