Streamlining evidence based clinical recommendations with large language models

Dubai Li; Nan Jiang; Kangping Huang; Ruiqi Tu; Shuyu Ouyang; Huayu Yu; Lin Qiao; Chen Yu; Tianshu Zhou; Danyang Tong; Qian Wang; Mengtao Li; Xiaofeng Zeng; Yu Tian; Xinping Tian; Jingsong Li

doi:10.1038/s41746-025-02273-y

arXiv · 2505.10282

Streamlining evidence based clinical recommendations with large language models

Dubai Li·Nan Jiang·Kangping Huang·Ruiqi Tu·Shuyu Ouyang·Huayu Yu·Lin Qiao·Chen Yu·Tianshu Zhou·Danyang Tong·Qian Wang·Mengtao Li·Xiaofeng Zeng·Yu Tian·Xinping Tian·Jingsong Li

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Abstract

Clinical evidence underpins informed healthcare decisions, yet integrating it into real-time practice remains challenging due to intensive workloads, complex procedures, and time constraints. This study presents Quicker, an LLM-powered system that automates evidence synthesis and generates clinical recommendations following standard guideline development workflows. Quicker delivers an end-to-end pipeline from clinical questions to recommendations and supports customized decision-making through integrated tools and interactive interfaces. To evaluate how closely Quicker can reproduce guideline development processes, we constructed Q2CRBench-3, a benchmark derived from guideline development records for three diseases. Experiments show that Quicker produces precise question decomposition, expert-aligned retrieval, and near-comprehensive screening. Quicker assistance improved the accuracy of extracted study data, and its recommendations were more comprehensive and coherent than clinician-written ones. In system-level testing, Quicker working with one participant reduced recommendation development to 20-40 min. Overall, the findings demonstrate Quicker's potential to enhance the speed and reliability of evidence-based clinical decision-making.

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Dubai Li, Nan Jiang, Kangping Huang, Ruiqi Tu, Shuyu Ouyang, Huayu Yu, Lin Qiao, Chen Yu, Tianshu Zhou, Danyang Tong, Qian Wang, Mengtao Li, Xiaofeng Zeng, Yu Tian, Xinping Tian, Jingsong Li. 2026-01-09. Streamlining evidence based clinical recommendations with large language models. https://doi.org/10.1038/s41746-025-02273-y

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