建设研究基础设施以提高学习效率 (BRIDGE)
Danne C Elbers1,2, Nathanael R Fillmore1,2, Jennifer La1
1VA Boston Healthcare System, Boston MA, USA.
Studies in health technology and informatics
|January 25, 2024
概括
退伍军人事务部在瘤学中使用现实世界的数据开发了一种学习健康系统 (LHS). 这个系统集成数据,开发算法,并将结果返回诊所,改善癌症护理.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 退伍军人事务部 (VA) 旨在实施一个学习健康系统 (LHS).
- 瘤学缺乏随机对照试验的强有力的证据,使其适合LHS实施.
- 现有的医疗保健系统需要改进,以便将证据纳入临床实践.
研究的目的:
- 概述VA在瘤学方面开发的学习健康系统 (LHS).
- 描述LHS的技术组成部分和实施策略.
- 提出将知识生成纳入临床工作流程的框架.
主要方法:
- 开发一个大型的真实世界数据库,用于瘤学.
- 建立一个数据科学和算法开发框架.
- 创建一个机制,以传播结果回临床实践和患者.
主要成果:
- 在VA的瘤学中,一个功能性的LHS,包括数据基础设施,分析能力和反循环.
- 使用现实世界的数据来产生瘤学的证据的可行性.
- 确定需要一个协作桥梁框架的需求.
结论:
- 在VA开发的LHS显示了通过数据驱动的洞察力改善瘤护理的希望.
- 信息学和医疗专业人员之间的协作桥梁框架对于成功的LHS整合至关重要.
- 这种方法可以增强在瘤学护理点的证据生成和应用.
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