Chris C Conneran, Terri Conneran, Bonnie H M Chen, Danny T Y Wu
{"title":"KRAS Clinical Trial Finder: A Patient-Centered Platform for Improving Access to Clinical Trial Information.","authors":"Chris C Conneran, Terri Conneran, Bonnie H M Chen, Danny T Y Wu","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72181,"journal":{"name":"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science","volume":"2026 ","pages":"117-124"},"PeriodicalIF":0.0000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13274327/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.