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May 28, 2024JCO Oncology Practice

Utility of Large Language Models to Produce a Patient-Friendly Summary From Oncology Consultations

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Abstract

LLMs can rewrite oncologic notes as plain-language summaries, which may aid communication and comprehension.

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Cite This Study

Ryan Holstead (2024) studied this question.

synapsesocial.com/papers/68e68107b6db64358760a8f8 https://doi.org/10.1200/op.24.00057

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Patient friendly summaries of oncology consultations generated by large language models - A pilot study of patient and provider satisfaction2025
2GENERATING PATIENT-FRIENDLY SUMMARIES OF CLINICAL NOTES WITH LARGE LANGUAGE MODELS: A PILOT EVALUATION IN AN ONCOLOGY SETTING.Blinded Clinical Trial · 2026
3Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical UsabilityReview · 2026 · 2 citations
4Using Large Language Models to Identify Patient–Oncologist Communication Domains: A Feasibility StudyReview · 2026
5Large language models in personalized oncologyNarrative Review · 2026

More related papers

Personalizing communication with the patient: large language models2025
Large language model-generated clinical summaries in emergency departments: A blinded comparison study2026
Enhancing the quality and trustworthiness of large language model-generated summaries of clinical oncology literature2026

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