评估MedDRA与ICD的术语映射
Xinyuan Zhang1, Yixue Feng2, Fang Li1
1McWilliam School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
BMC medical informatics and decision making
|February 7, 2024
概括
数据协调对于研究至关重要. 监管活动医学词典 (MedDRA) 和国际疾病分类 (ICD) 地图的分析显示,覆盖率仅为27.23%,有许多不准确的匹配,表明改善数据集成的潜力.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 健康数据标准化 标准化
背景情况:
- 数据协调对于大数据时代的可复制和协作研究至关重要.
- 术语映射,特别是监管活动医学词典 (MedDRA) 和国际疾病分类 (ICD) 之间的术语映射,对于药物安全和药物监管至关重要.
- 目前的绘图工作需要进行定量和定性分析,以确保数据的一致性.
研究的目的:
- 量化和定性地分析MedDRA和ICD之间的当前映射状态.
- 评估在统一医疗语言系统 (UMLS) 和观察医疗结果伙伴关系共同数据模型 (OMOP CDM) 中现有的MedDRA-ICD映射的质量.
- 通过使用自主开发的算法,识别潜在的候选人,用于额外地图覆盖未被映射的术语.
主要方法:
- 在UMLS和OMOPCDM中分析现有的MedDRA-ICD映射对.
- 对映射对进行系统的质量评估,以确定匹配程度 (例如,准确匹配).
- 将专有算法应用于未映射的MedDRA首选术语 (PT) 样本,以识别潜在的ICD映射候选者.
主要成果:
- 目前的MedDRA-ICD映射涵盖了MedDRA优先术语 (PT) 的27.23%.
- 在评估的映射对中,只有51.44%被确定为准确匹配,突出质量问题.
- 对2400个未绘制的MedDRA PTs的分析揭示了56个可能在ICD中准确匹配的候选人.
结论:
- 现有的MedDRA-ICD映射往往缺乏准确性,因为数据细度和焦点的差异.
- 很大一部分 (72%) 的未绘制的MedDRA PTs显示出额外的准确匹配的潜力,这表明绘制扩展的机会.
- 这些发现支持MedDRA扩展到UMLS中的ICD映射,基于已建立的映射标准.
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