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基于算法的临床决策支持系统的In Silico评估:范围审查协议
Michael Dorosan1, Ya-Lin Chen2, Qingyuan Zhuang3,4,5
1Health Services Research Centre, Singapore Health Services Pte Ltd, Singapore, Singapore.
JMIR research protocols
|January 17, 2025
概括
本审查协议概述了基于算法的临床决策支持 (CDS) 系统的in silico评估方法. 它旨在在临床试验之前评估模拟环境中的潜在影响,弥合开发部署差距.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 临床决策支持系统 临床决策支持系统
背景情况:
- 评估基于算法的临床决策支持 (CDS) 系统的临床价值是一项挑战.
- 传统方法依赖于资源密集的临床试验.
- 需要有效的实施前评估策略.
研究的目的:
- 提出基于算法的CDS.的in silico评估方法的审查协议.
- 允许在临床试验之前在模拟环境中扩大影响分析.
- 为了确定CDS模型的in silico评估中的研究差距.
主要方法:
- 一个基于Arksey和O'Malley框架和PRISMA-ScR指南的范围审查协议.
- 在多个数据库中进行搜索,包括PubMed,Embase和IEEE Xplore.
- 一个两阶段的选过程和代的数据精细化.
- 专题,趋势和描述性分析,以确定目标范围.
主要成果:
- 在2023年5月进行了一次自动搜索.
- 截至2024年4月,已选出21篇文章用于数据提取和分析.
- 正在进行全文选和分析,计划于2024年7月完成.
结论:
- 预期的研究结果将为CDS的统一的in silico评估框架做出贡献.
- 该框架将详细介绍临床决策的特点,影响措施和方法的可重复使用性.
- 该研究旨在通过in silico评估弥合CDS系统的开发部署差距.
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