A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece.
Generative AI models, such as ChatGPT, have significantly impacted healthcare through the strategic use of prompts to enhance precision, relevance, and ethical standards. This perspective explores the application of prompt engineering to tailor outputs specifically for healthcare stakeholders: patie...
| Publicado en: | Studies in Health Technology & Informatics Vol. 316; pp. 998 - 1003 |
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| Autores principales: | , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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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=179286409&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179286409 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2024 vid: 316 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 179286409 179286409 179286409 10.3233/SHTI240578 179286409 ppf: 998 ppct: 5 formats: tig: atl: A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece. aug: au: ABHARI, Shahabeddin FATAHI, Somayeh SARAGADAM, Ashish CHUMACHENKO, Dmytro MORITA, Plinio PELEGRINI affil: School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada. sug: subj: Artificial Intelligence, Generative Utilization Biomedical Engineering Health Care Delivery Health Informatics Information Retrieval Needs Assessment Decision Making Outcomes (Health Care) Quality Improvement Prediction Models Human Congresses and Conferences Greece Greece Precision Stakeholder Participation Software Design Patient Education Policy Making Health Personnel Professional Development Research Personnel Patient Satisfaction ab: Generative AI models, such as ChatGPT, have significantly impacted healthcare through the strategic use of prompts to enhance precision, relevance, and ethical standards. This perspective explores the application of prompt engineering to tailor outputs specifically for healthcare stakeholders: patients, providers, policymakers, and researchers. A nine-stage process for prompt engineering in healthcare is proposed, encompassing identifying applications, understanding stakeholder needs, designing tailored prompts, iterative testing and refinement, ethical considerations, collaborative feedback, documentation, training, and continuous updates. A literature review focused on "Generative AI" or "ChatGPT," prompts, and healthcare informed this study, identifying key prompts through qualitative analysis and expert input. This systematic approach ensures that AIgenerated prompts align with stakeholder requirements, offering valuable insights into symptoms, treatments, and prevention, thereby supporting informed decisionmaking among patients. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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