在临床叙述中处理简短形式内容:系统范围审查
Amila Kugic1, Ingrid Martin2, Luise Modersohn2
1Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Journal of medical Internet research
|September 26, 2024
概括
本次审查考察了电子健康记录中的临床简体表格,发现它们的定义和处理方法往往不清楚. 未来的研究应该解决这些差距,特别是在单字缩写和非英语叙述方面.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 临床信息学 临床信息学
- 医疗信息学 医疗信息学
背景情况:
- 电子健康记录 (EHR) 增加了文档制作时间,导致经常使用缩写和缩写.
- 临床叙述中的这种简洁性可能会阻碍医疗保健专业人员和患者的理解.
- 了解和处理这些简单表格对于准确的临床数据解释至关重要.
研究的目的:
- 审查临床叙述中存在的简短形式的类型.
- 识别自然语言处理 (NLP) 技术用于简体形式的识别,扩展和明确.
- 评估处理临床简单表格的研究现状.
主要方法:
- 系统的范围审查遵循PRISMA指南.
- 搜索了数据库,包括科学网,Embase,MEDLINE,EBMR和ACL诗集 (2018年1月至2023年2月).
- 提取了简短的形式类型,并分配了NLP方法来识别,扩展和明确.
主要成果:
- 从6639个记录中,包括了19篇文章.
- 基于规则的方法主导了简短的形式识别.
- 字符串相似性和矢量表示用于扩展;嵌入式和深度学习用于清晰化.
结论:
- 缺乏对临床简体形式的明确定义,阻碍了可复制性和方法选择.
- 观察到部分遵守NLP质量和可重复性建议.
- 目前的研究中,单字缩写和非英语叙述的代表性不足.
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