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March 3, 2026Journal of the Neurological Sciences

Completeness and quality of neurology referral letters generated by a large language model for standardized scenarios

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Authors

WRWatcharasarn Rattananan

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Overview

Observational analysis of letter quality for neurology referrals, suggesting AI can enhance communication efficiency.

Key Points

  • The generated referral letters demonstrated high completeness and quality, enhancing clinical communication.
  • Quality metrics indicated that over 85% of the letters met established standards for effective referral.
  • Analysis based on standardized scenarios highlighted the model's capability to address varied clinical contexts.
  • Supporting accurate and timely referrals, AI-generated letters may reduce miscommunication in healthcare.

Cite This Study

Watcharasarn Rattananan (2025) studied this question.

synapsesocial.com/papers/69a75eddc6e9836116a29d78https://doi.org/10.1016/j.jns.2025.124861
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