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Assessing the accuracy and accessibility of patient letters generated by Claude 3 Opus using breast MDT clinical decisions

Oliver-Blaney, Ciara
Badenoch, Thomas
Massey, Eleanore
Date
2025-05
Type
Conference Abstract
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Abstract
Breast cancer multidisciplinary team (MDT) meetings are vital to providing optimal patient care. Discussions are complex and produce patient individualised treatments. It can be difficult to efficiently translate these complex decisions into patient correspondence. Large language models (LLMs) can process complex information efficiently, responding with human-like text, free from jargon (Gokul 2023), and represent a potential aid for patient communication. This study aims to evaluate the accuracy and accessibility of patient letters generated by Claude 3 Opus using clinical decisions from the MDT.
Citation
Oliver-Blaney, C., Badenoch, T., & Massey, E. (2025). Assessing the accuracy and accessibility of patient letters generated by Claude 3 Opus using breast MDT clinical decisions. European Journal of Surgical Oncology, 51(Supplement), Article 109961. https://doi.org/10.1016/j.ejso.2025.109961
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