AI-Driven System ‘Quicker’ Aims to Streamline Clinical Evidence Synthesis

Global: AI-Driven System ‘Quicker’ Aims to Streamline Clinical Evidence Synthesis

In May 2025, researchers posted a study on arXiv describing the introduction of Quicker, an evidence‑based clinical decision support system powered by large language models. The paper outlines how the system is intended to automate the synthesis of clinical evidence, addressing the heavy workload, complex processes, and time constraints that clinicians face when integrating research findings into practice.

System Overview

Quicker is designed to replicate the phases of standard clinical guideline development, beginning with question formulation and ending with the generation of clinical recommendations. The platform incorporates automated tools for question decomposition, literature retrieval, screening, and evidence assessment, and it offers an interactive user interface for customized decision‑making.

Benchmark Development

To evaluate the system, the authors created the Q2CRBench-3 benchmark dataset, which draws on guideline development records for three distinct diseases. The dataset provides a structured testbed for measuring question handling, retrieval accuracy, and literature screening performance against established expert standards.

Performance Findings

Experimental results reported in the preprint indicate that Quicker achieved retrieval sensitivities comparable to those of human experts and that its literature screening approach approached comprehensive inclusion of relevant studies. The system also demonstrated fine‑grained question decomposition aligned with user preferences, and its generated recommendations were described as more comprehensive and logically coherent than those produced by clinicians in the study.

Human‑AI Collaboration

In system‑level testing, collaboration between a single human reviewer and Quicker reduced the time required to develop clinical recommendations to between 20 and 40 minutes, a notable decrease compared with traditional guideline development timelines.

Potential Impact

The authors conclude that Quicker’s automation capabilities could help physicians make faster, more reliable evidence‑based decisions, potentially easing the burden of evidence synthesis in clinical environments. Further validation in real‑world settings is suggested to confirm the system’s effectiveness across broader medical domains.

This report is based on information from arXiv, licensed under Academic Preprint / Open Access. Based on the abstract of the research paper. Full text available via ArXiv.