为电子医疗记录搜索引擎开发一个基于语义的查询建议:查询日志分析和设计影响
Danny T Y Wu1,2, David Hanauer2,3, Paul Murdock4,5
1Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
电子医疗记录搜索引擎 (EMERSE) 中的基于语义的查询建议 (SBQR) 功能通过自动扩展查询来增强用户体验. 这导致了感知性能的提高,特别是在中度困难的搜索中,而无需显著的用户修改.
科学领域:
- 医疗信息学 医疗信息学
- 信息检索 信息检索
- 人与计算机的交互
背景情况:
- 有效的信息检索 (IR) 系统对于利用电子健康记录至关重要.
- 之前的一项研究开发了一种具有语义基础查询建议 (SBQR) 功能的原型医疗IR系统,展示了最终用户感知的高性能.
- 这项后续研究分析了查询日志,以了解系统感知性能背后的因素.
研究的目的:
- 调查查询推如何帮助对其信息需求知识有限的用户在改进搜索查询时的帮助.
- 评估SBQR功能在电子医疗记录搜索引擎 (EMERSE) 中对用户搜索行为和查询制定的影响.
- 了解SBQR对医疗信息检索中感知系统性能的贡献.
主要方法:
- 从之前的实验研究中分析查询日志数据,其中涉及具有SBQR功能的EMERSE.
- 将初始用户查询与使用SBQR辅助制定的查询进行比较.
- 使用雅卡德相似系数和搜索结果的分析,检查查询问相似性.
主要成果:
- 最初和SBQR辅助的最终查询显示出高度相似性 (Jaccard指数=0.77),表明自动查询扩展是关键.
- 感知到的系统性能归因于SBQR的自动查询扩展,而不是手动用户查询改进.
- 搜索结果在适度困难的场景中趋同,与感知性能密切相关的趋同程度.
结论:
- 根据搜索难度,SBQR可以显著促进用户对医疗IR系统性能的积极看法.
- 医疗IR系统应该考虑将SBQR作为用户控制或半自动化的功能.
- 未来的研究应该涉及控制的多站点研究,以验证EMERSE与SBQR用于患者队列识别等任务.
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