What is it about?
Generative language models like ChatGPT have great potential for medical education through personalized learning and simulations. But these AI chatbots need carefully engineered prompts to give accurate, helpful answers. Different prompt types and structures maximize desired responses and minimize problems with bias or errors. As AI transforms medical training, prompt engineering is a key skill for safely harnessing chatbots’ full benefits.
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Why is it important?
This timely article highlights the crucial role of prompt engineering in utilizing AI chatbots for medical education. With major AI systems like ChatGPT now available, medical schools must adopt prompt optimization to gain the advantages of personalized learning and practice while avoiding misinformation. Prompt engineering allows properly tapping AI's potential while minimizing risks as this technology reshapes medical training.
Perspectives
The rapid advancement of AI chatbots presents both opportunities and challenges for medical education. As an educator, I'm excited by the prospects of unlimited personalized drills and patient simulations from AI. But my enthusiasm is tempered by worries about inaccuracy and ethical issues. Prompt engineering offers a path forward, a way to maximize chatbots' benefits while mitigating their potential downsides. By honing our skills at prompt optimization, we can safely integrate AI into our teaching in a thoughtful manner. I don't see chatbots as a panacea or a replacement for human educators. Rather, they are a promising new tool in our pedagogical toolkit if used judiciously. With care and wisdom, AI chatbots can enhance medical training without eroding the human elements so vital for compassionate care.
Thomas F Heston MD
University of Washington
Read the Original
This page is a summary of: Prompt Engineering in Medical Education, July 2023, MDPI AG,
DOI: 10.20944/preprints202307.0813.v1.
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