Abstract:
With the advent of newer artificial intelligence (AI), such as ChatGPT, there are many possibilities to enhance learning for all health professions. One area with great potential is creating synthetic patients to improve patient/provider communications in nursing, medicine, and other health professions. Using ChatGPT, these AI-driven patients can interact with learners at all levels (students and practicing professionals) to engage with the AI as it portrays a patient. With the available ChatGPT voice interface, learners engage in real-time conversation with the synthetic patient, aka simulated patient or virtual patient. At the completion of the interview, the AI can provide detailed feedback either using the program’s resources or an uploaded scoring rubric.
AI patient interviews can be repeated to allow the learner to implement suggestions for improvement and monitor their progress. Programming AI-driven simulated patients is easy and requires no computer programming skills. The natural language processing of modern GPT AI systems makes the whole process, from development to evaluation, quick and efficient.
This CE webinar will demonstrate examples in various communication scenarios and show clinical educators and trainers how to create their own synthetic virtual ai patients.
Learning Objectives:
- State the use cases for AI-driven simulated patients in clinical education and training.
- State the steps needed to create a synthetic patent for communication-based skills training.
- Describe the potential downsides to learning with virtual patients in healthcare simulation.
