KRAS Clinical Trial Finder: A Patient-Centered Platform for Improving Access to Clinical Trial Information.

Chris C Conneran, Terri Conneran, Bonnie H M Chen, Danny T Y Wu
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Abstract

KRAS mutations are linked to aggressive cancers, yet many patients struggle to locate trials that match their tumor subtype or circumstances. This study presents the design and user-centered evaluation of the KRAS Clinical Trial Finder, a patient-centered platform that improves access to KRAS-specific clinical trial information. A Python pipeline was developed to extract and transform KRAS-related trials from ClinicalTrials.gov into a relational database, which was presented through an interactive R Shiny dashboard offering plain-language summaries and distance calculations. Twenty-eight KRAS Kickers patients and care partners completed four usability tasks, evaluated with the Single Ease Question (SEQ) and System Usability Scale (SUS). Results demonstrated excellent usability (mean SEQ 6.44/7; SUS 91.4) and rapid task completion (mean 66.5 seconds), with 95% expressing willingness to reuse the system. Qualitative analysis identified five improvement domains: visibility, personalization, education, empowerment, and accessibility. Future directions include EHR integration, AI-enabled trial matching, enhanced education, and multilingual support.

KRAS临床试验查找器:一个以患者为中心的改善临床试验信息获取的平台。
KRAS突变与侵袭性癌症有关,然而许多患者很难找到与他们的肿瘤亚型或情况相匹配的试验。本研究介绍了KRAS临床试验查找器的设计和以用户为中心的评估,这是一个以患者为中心的平台,可以改善对KRAS特定临床试验信息的访问。开发了一个Python管道,用于从ClinicalTrials.gov中提取kras相关的试验并将其转换为关系数据库,该数据库通过交互式R Shiny仪表板呈现,提供简单的语言摘要和距离计算。28名KRAS Kickers患者和护理伙伴完成了4项可用性任务,用单一易用性问题(SEQ)和系统可用性量表(SUS)进行评估。结果显示出色的可用性(平均SEQ为6.44/7;SUS为91.4)和快速的任务完成(平均66.5秒),95%的人表示愿意重复使用该系统。定性分析确定了五个改进领域:可见性、个性化、教育、授权和可访问性。未来的发展方向包括电子病历集成、人工智能试验匹配、增强教育和多语言支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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