A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study.

Journal: Studies in health technology and informatics
Published Date: Aug 22, 2024

Abstract

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 AI-generated prompts align with stakeholder requirements, offering valuable insights into symptoms, treatments, and prevention, thereby supporting informed decision-making among patients.

Authors

  • Shahabeddin Abhari
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
  • Somayeh Fatahi
    Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Ashish Saragadam
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
  • Dmytro Chumachenko
    Mathematical Modelling and Artificial Intelligence Department, National Aerospace University Kharkiv Aviation Institute, 61072 Kharkiv, Ukraine.
  • Plinio Pelegrini Morita
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

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