临床信息检索:一篇文献评论
Sonish Sivarajkumar1, Haneef Ahamed Mohammad2, David Oniani3
1Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA USA.
Journal of healthcare informatics research
|April 29, 2024
概括
本范围审查审查临床信息检索 (IR) 研究,确定索引和排名等方法的差距. 它强调需要先进的系统,包括神经IR和语义矢量搜索,以更好地访问医疗数据.
科学领域:
- 医疗信息学 医疗信息学
- 信息科学 信息科学 信息科学
- 计算机科学 计算机科学
背景情况:
- 临床信息检索 (IR) 对于访问和分析医学文献至关重要.
- 有效的IR支持医疗保健中的临床医生和研究人员.
- 当前的研究需要一个全面的概述,以确定未来的方向.
研究的目的:
- 提供临床IR研究的全面概述.
- 确定临床IR的研究缺口和机会.
- 分析医疗信息检索的方法,技术和工具.
主要方法:
- 根据PRISMA指南进行范围审查.
- 在多个数据库 (Embase,Medline,Scopus,ACM,IEEE,Web of Science) 进行广泛的文献搜索.
- 包括2010年1月1日至2023年1月4日期间发表的184篇论文.
主要成果:
- 临床IR环境的详细分析:出版趋势,数据源,方法,评估指标和应用.
- 确定了临床IR方法中的关键研究缺陷:索引,排名和查询扩展.
- 强调需要先进的临床IR系统,包括语义向量搜索和神经IR技术.
结论:
- 该审查作为未来临床IR研究的框架.
- 临床IR方法的创新研究是必不可少的.
- 需要先进的技术来有效地从非结构化的电子健康记录 (EHR) 中检索.
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