取消GRASCCO的识别 - 一项试点研究,用于取消德国医学文本项目 (GeMTeX) 库的识别
Christina Lohr1,2, Franz Matthies1,2, Jakob Faller3,2
1Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.
Studies in health technology and informatics
|September 5, 2024
概括
德国医学文本项目 (GeMTeX) 开发了德国临床文档的非识别管道. 这一管道成功地将数据匿名化,发布了第一份带有受保护健康信息 (PHI) 元数据的开源德国临床数据库.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 数据 隐私 数据 隐私 数据
背景情况:
- 德国医学文本项目 (GeMTeX) 是德国临床文件处理的一个重大举措.
- 临床文本的非识别对于数据隐私和医疗记录的二次使用至关重要.
研究的目的:
- 介绍为GeMTeX项目开发的非识别管道的架构.
- 创建一个强大而有效的系统,从德国临床文本中删除受保护的健康信息 (PHI).
主要方法:
- 一个多阶段的管道,包括数据出口,导入INCEpTION平台,使用Averbis Health Discovery自动化PHI预标记,手动策划和自动化PHI更换.
- 在莱比锡和厄兰根的数据集成中心与注释者和策展人一起实施和试点测试.
主要成果:
- 成功解除临床文件的身份识别.
- 在GRASSCO语料库的注释活动中实现了高的注释者间协议 (Krippendorff的α ≈ 0.97).
- 创建了1.4K个精选的PHI注释.
结论:
- 开发的管道有效地消除了德国临床文件的身份.
- 策划的PHI注释作为开源数据发布.
- 这构成了第一个公开可用的德语临床语言文本库,包含PHI元数据.
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