Large language model digital patients improve ophthalmology history-taking skills.
A large language model digital patient system enhances ophthalmology history taking skills.
Ming-Jie Luo et al. · NPJ digital medicine · 2025
Background
Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients.
Methods
Reported high satisfaction with LLMDP, emphasizing its role in reducing training costs and boosting confidence for real patient interactions.
n = 84
Results
students trained with digital patients had higher history-taking assessment scores
MD 10.50 (95% CI 4.66 to 16.33)
CI excludes the null - significant
More results
LLMDP-trained students also demonstrated greater empathy.
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Conclusion
These findings provide evidence that LLM-driven digital patients enhance medical history-taking skills and offer a scalable, low-risk pathway for integrating generative AI into ophthalmology education.