PO.BCS02.02 · 生物信息与计算
临床试验知识平台在社区癌症网络中的真实世界可用性
Real-world usability of a clinical trial knowledge platform in a community cancer network
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:美国的临床试验参与度仍然不理想,医疗提供者认知有限导致错失入组机会。尽管公共注册库内容全面,但它们并未针对临床接诊过程中的快速使用进行优化。一个整合方案信息、呈现入选标准并生成简洁的AI辅助摘要的临床试验知识平台此前曾在一家综合癌症中心进行评估,并展示出高可行性和用户参与度。我们评估了该平台在一个大型社区癌症网络中肿瘤科提供者间的真实世界可用性。
方法:十位肿瘤科提供者完成了一次标准化的30分钟引导式使用平台的会话,随后进行30分钟的半结构化访谈以及一份10项改良的移动健康应用可用性问卷(mMAUQ;Likert量表,1-7;评分≥5定义为良好)。在引导式会话中,参与者被要求完成反映典型即时诊疗使用的标准化试验搜索、入选标准审查和摘要审查任务。定量结果以描述性方式总结。定性数据采用扎根理论进行分析,并通过PACMAD可用性模型进行解读。
结果:可用性评分一致较高(总体平均分6.8)。所有参与者均报告良好的可用性,并表示愿意向同事推荐该工具。导航便捷性平均分为6.9,可学习性为6.9,在支持试验转诊讨论方面的有用性为6.8。定性发现与定量结果一致:提供者认为在时间有限的就诊中快速获取入选标准以进行预筛查是最具临床价值的功能,并将该工具描述为直观、易于记忆、认知负担轻且技术顾虑极少。建议的改进集中于工作流程整合,包括与临床系统的互操作性以及在患者接诊中提供潜在的环境支持。
结论:在社区肿瘤学环境中——试验信息获取有限可能加剧入组差异——一个临床试验知识平台展示了出色的可用性和强烈的感知临床效用。提供者报告称,快速获取入选标准支持了预筛查,并为他们提供了足够的信息,以在常规诊疗中与患者讨论试验。这些发现表明,将试验知识切实整合到时间有限的临床接诊中——超越单纯的试验匹配——可能是决定数字临床试验应用能否转化为研究参与度提高的关键因素。该平台对试验入组以及跨多样化诊疗环境公平获取研究机会的影响评估正在进行中。
查看英文原文 English abstract
Background: Clinical trial participation in the United States remains suboptimal, and limited provider awareness contributes to missed opportunities for enrollment. Although public registries are comprehensive, they are not optimized for rapid use during clinical encounters. A clinical trial knowledge platform that consolidates protocol information, surfaces eligibility criteria, and generates concise AI-assisted summaries was previously evaluated at a comprehensive cancer center and demonstrated high feasibility and user engagement. We assessed real-world usability of this platform among oncology providers in a large community cancer network.
Methods: Ten oncology providers completed a standardized 30-minute guided session using the platform, followed by a 30-minute semi-structured interview and a 10-item modified Mobile Health App Usability Questionnaire (mMAUQ; Likert scale, 1-7; score ≥5 defined as favorable). During the guided session, participants were asked to complete standardized trial-search, eligibility-review, and summary-review tasks that reflect typical point-of-care use. Quantitative results were summarized descriptively. Qualitative data were analyzed using grounded-theory and interpreted through the PACMAD usability model.
Results: Usability ratings were consistently high (overall mean score, 6.8). All participants reported favorable usability and indicated willingness to recommend the tool to colleagues. Mean scores were 6.9 for ease of navigation, 6.9 for learnability, and 6.8 for usefulness in supporting trial-referral discussions. Qualitative findings mirrored quantitative results: providers identified rapid access to eligibility criteria for prescreening during time-limited visits as the most clinically valuable feature and described the tool as intuitive, easy to recall, and cognitively light, with minimal technical concerns. Suggested refinements focused on workflow integration, including interoperability with clinical systems and potential ambient support in patient encounters.
Conclusions: In a community oncology setting-where limited access to trial information can exacerbate disparities in enrollment-a clinical trial knowledge platform demonstrated excellent usability and strong perceived clinical utility. Providers reported that rapid access to eligibility criteria supported prescreening and gave them enough information to discuss trials with patients during routine care. These findings suggest that the practical integration of trial knowledge into time-limited clinical encounters-beyond trial matching alone-may be a critical determinant of whether digital clinical trial applications translate into increased participation in research. Evaluation of the platform's effect on trial accrual and equitable access to research opportunities across diverse care environments is underway.
利益披露 Disclosure
T. Hung, None..
S. Amara, None..
P. Schwartz, None..
A. Thumar, None..
Z. Raza, None..
E. O’Brien, None..
G. Kuperman, None..
B. Stein, None..
P. Yu, None..
J. J. Mao, None.