支持系统审查过程的数字工具:一个介绍
Lena Schmidt1, Ian Cree2, Fiona Campbell1
1National Institute for Health and Care Research Innovation Observatory, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Journal of evaluation in clinical practice
|April 28, 2025
概括
数字工具简化了系统审查,增强了证据综合,以便更好地做出决策. 人工智能集成提供了效率,但需要仔细评估在研究和临床实践中采用.
科学领域:
- 医疗信息学 医疗信息学
- 基于证据的医学基于证据的医学.
- 卫生研究方法论 卫生研究方法论
背景情况:
- 系统性审查对于基于证据的决策至关重要,但耗时.
- 当前的方法可能会推迟将新证据纳入实践.
研究的目的:
- 引入增强系统审查流程的数字工具.
- 突出这些工具的功能,可用性和验证.
主要方法:
- 对系统性审查的数字证据合成工具进行了审查.
- 确定了各种阶段的工具:搜索,参考管理,研究选择,数据提取和评估.
- 重点是通过独立评估验证的工具.
主要成果:
- 综合工具 (EPPI-Reviewer,Covidence,DistillerSR,JBI-SUMARI) 支持完整的审查周期. 这些工具包括:
- 有专门的工具用于证据搜索,参考管理,研究选择优先级和风险偏差评估.
- 机器学习和人工智能提高了效率,但需要知情的最终用户评估.
结论:
- 数字工具,特别是与人工智能集成的工具,显著提升了系统审查方法.
- 这些工具可以提高决策证据的及时性和质量.
- 这些发现对临床医生,研究人员和系统审查的生产者来说都很重要.
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