用户参与人工智能驱动的瘤学临床试验应用程序的真实世界评估
Tony K W Hung1,2, Jun J Mao3, Alan L Ho3
1Cancer Institute, Hartford HealthCare, Hartford, CT 06106, United States.
概括
一个由人工智能驱动的临床试验知识管理应用程序在20个月内显示了持续的提供者参与,高活跃用户率和会话粘性,表明其在瘤学工作流程中的实用性.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 临床试验管理是复杂的,需要有效的知识传播.
- 整合人工智能等先进技术可能会简化瘤学工作流程.
研究的目的:
- 实施和评估用户与人工智能驱动的临床试验知识管理应用程序的参与.
- 评估这种应用在NCI指定的综合癌症中心的可行性和实用性.
主要方法:
- 在20个月内 (2022年7月至2024年2月) 预期自动捕获用户参与度量.
- 关键指标包括应用互动,会话,参与的会话,参与时间,下载,活跃用户和粘性.
- 使用时间序列和线性回归分析.
主要成果:
- 该应用程序支持了138项临床试验,并记录了136,632次用户互动.
- 实现了2,754个参与的会话,平均持续时间为6分31秒.
- 证明了高用户保留率 (94%的活跃用户从243次下载) 和粘性得分为3.12,表明持续的参与.
结论:
- 基于人工智能的临床试验知识管理应用程序显示出可行性和持续的提供者参与瘤学设置.
- 高活跃用户率和会话粘性表明在现实世界的临床实践中具有有意义的实用性.
- 需要进一步的研究来优化整合策略,并评估对临床试验积累的影响.
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