A large language model digital patient system enhances ophthalmology history taking skills.

AI / informaticsNPJ digital medicine· Aug 2025

A large language model digital patient system enhances ophthalmology history taking skills.

Ming-Jie Luo, Shaowei Bi, Jianyu Pang … Haotian Lin

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OphthalmologyAI / informaticsClinical practiceQ1IF 18.0

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 … Haotian Lin

NPJ digital medicine · Aug 2025 · Q1 in General Medicine

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.

“

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.

A large language model digital patient system enhances ophthalmology history taking skills.

A large language model digital patient system enhances ophthalmology history taking skills.

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