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March 3, 2026JCO Clinical Cancer Informatics2 citationsOpen Access

Simulation-Based Evaluation of a Large Language Model–Enabled Clinical Decision Support Platform in Oncology

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NLNesrine LajmiMPMehul S. PatelGOGareth Obery

Key Points

  • The LLM-CDS platform improved clinical summarization efficiency, enhancing workflow completion in oncology.
  • User acceptance was strong, with anticipated time savings indicating broad application potential.
  • Simulation-based evaluation facilitated high-quality insights into clinical decision support capabilities.
  • The findings underscore the necessity for more integration of AI tools in clinical workflows for better performance.

Abstract

The LLM-CDS platform improved the efficiency and completeness of clinical summarization. Strong user acceptance and anticipated time savings underscore the potential for streamlining a range of oncology workflows.

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Cite This Study

Lajmi et al. (2026) studied this question.

synapsesocial.com/papers/69a75d07c6e9836116a266fdhttps://doi.org/10.1200/cci-25-00244
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