May 30, 2024Open Access

Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education

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Authors

SCSimon N. ChuUniversity of California, San Francisco AGAlex J. Goodell

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Implication

Simulation study demonstrates multimodal generative AI avatars for patient-provider discussions in medical trainees, suggesting scalable communication training.

Key Points

Interactive synthetic patients enable realistic simulations of sensitive healthcare discussions, while demanding minimal ongoing financial investment.
Simulation using language modeling, computer vision, and generative audio creates real-time video chat encounters across diverse patient backgrounds.
Multimodal generative artificial intelligence may facilitate scalable palliative care training, supporting clinical communication competencies.

Cite This Study

Chu et al. (2024) studied this question.

synapsesocial.com/papers/68e67aa1b6db643587604f12 https://doi.org/10.48550/arxiv.2405.19941

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Implication

Simulation study demonstrates multimodal generative AI avatars for patient-provider discussions in medical trainees, suggesting scalable communication training.

Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education

Discussion

Member takes

Implication

Key Points

Cite This Study

Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education

Discussion

Member takes

Implication

Key Points

Cite This Study

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