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Ethical Use of Artificial Intelligence for Clinical Vignettes
Henna Iqbal1, Jennifer Jihae Park2, Yelena Burklin3
1Mercer University School of Medicine, Macon, Georgia.
HCA Healthcare Journal of Medicine
|May 20, 2026
Summary
This report introduces a systematic process model for publishing clinical vignettes using vignette-based learning (VBL), emphasizing ethical artificial intelligence (AI) integration. It guides clinicians through case publication, from identification to dissemination, leveraging AI tools.
Area of Science:
- Medical Education
- Clinical Informatics
- Artificial Intelligence in Healthcare
Background:
- Clinical vignettes are valuable educational tools.
- Publishing clinical cases requires a structured approach.
- Integrating artificial intelligence (AI) into medical education is an emerging trend.
Purpose of the Study:
- To introduce a systematic process model for publishing clinical vignettes.
- To emphasize the ethical use of artificial intelligence (AI) in this process.
- To provide a comprehensive guide for clinicians and early-career professionals.
Main Methods:
- Development of a systematic process model for clinical vignette publication.
- Detailed walk-through from case identification to dissemination.
- Integration of AI tools at each step of the publication process.
Main Results:
- A structured workflow for creating and publishing clinical vignettes.
- Identification of specific AI applications to enhance vignette development and dissemination.
- A guide tailored for clinicians and early-career medical professionals.
Conclusions:
- The proposed model facilitates efficient and ethical publication of clinical vignettes.
- AI tools can significantly support and streamline the vignette publication process.
- This systematic approach enhances knowledge sharing in medical education.
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