Wondering about whether large language models (generative AI) like ChatGPT, Co-Pilot or Claude, to name just a few, could add value to your clinical practice?
Drs Mark Vorensky and Daniel Peredo (Rutgers University; NYU Langone Health) discuss the field of 'prompt engineering' - the approach to structuring and crafting the instructions (a.k.a. prompt) given to a generative AI model, to describe the task that the AI should perform.
The quality of the output from generative AI is highly dependent on how the model is prompted. So, if you're looking to get the best out of generative AI, tune in!
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RESOURCES
Improving ChatGPT's performance using the CRISPE framework: https://www.jospt.org/doi/10.2519/josptmethods.2025.0151
Neck pain clinical practice guideline: https://www.jospt.org/doi/10.2519/jospt.2017.0302

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