罕见疾病的过渡数据库及其用于临床文档的使用
Michele Zoch1, Christian Gierschner1, Richard Gebler1
1Institute for Medical Informatics and Biometry at the Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Health informatics journal
|June 10, 2024
概括
由于文档和编码不良,罕见病患者面临诊断延迟. 本研究引入了使用ORPHAcode精确识别和改进的临床信息系统的罕见疾病过渡数据库.
科学领域:
- 医疗信息学 医疗信息学
- 罕见疾病研究 罕见疾病研究
- 临床文档 临床文档
背景情况:
- 罕见疾病在诊断和管理方面存在重大挑战,原因是它们的罕见性和文献不足.
- 目前的编码系统,如国际疾病和相关健康问题的统计分类,缺乏罕见疾病所需的特异性.
- ORPHA代码为命名和分类罕见疾病提供了一种精确的方法,这对于临床实践和研究都至关重要.
研究的目的:
- 介绍一个存储和映射ORPHAcodes的概念和实现.
- 建立一个罕见疾病的过渡数据库,整合Orphanet目录信息.
- 为了促进在医院环境中的罕见疾病关键绩效指标的临床记录和监测.
主要方法:
- 为建立过渡数据库制定一个五步过程.
- 利用开源工具和DataVault 2.0逻辑来实现数据库.
- 将Orphanet目录数据集成到过渡数据库中.
主要成果:
- 成功实施罕见疾病过渡数据库.
- 该数据库作为临床信息系统和罕见疾病KPI监测的基础.
- 该方法可以适应当地需求,并可扩展到其他术语.
结论:
- 开发的过渡数据库有效地解决了使用ORPHAcode.code的精确罕见疾病编码的需求.
- 这种实施增强了临床文档,并支持对罕见疾病指标的监测.
- 该解决方案的可适应性和可扩展性使其在医疗保健和研究环境中得到广泛应用.
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