早期预警系统的开发和验证得分本体学
Cilia E Zayas1, Justin M Whorton2, Kevin W Sexton2,3,4
1Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA. CZayas@uams.edu.
Journal of biomedical semantics
|September 20, 2023
概括
我们开发了早期预警系统评分 Ontology (EWSSO) 来标准化来自各种临床早期预警评分系统的数据,改进患者结果研究. 这种本体学使得在不同的医疗保健提供者和电子健康记录系统中实现一致的数据查询.
科学领域:
- 医疗信息学 医疗信息学
- 本体学 工程学 工程学
- 临床决策支持 临床决策支持
背景情况:
- 临床早期预警评分系统通过预测病情恶化来改善患者的治疗结果.
- 将这些系统集成到电子健康记录中,可以产生大量的患者生理数据,用于二级研究.
- 评分系统和电子健康记录的变化阻碍了数据分析和互操作性.
研究的目的:
- 为了开发和验证一个本体学,早期预警系统得分本体学 (EWSSO).
- 为了标准化常用的早期预警分数的数据表示:国家早期预警分数 (NEWS),修改的早期预警分数 (MEWS) 和快速序列器官衰竭评估 (qSOFA).
- 克服各种系统中早期预警得分数据的二次分析障碍.
主要方法:
- 应用软件开发生命周期框架和OBO Foundry原则进行本体论开发.
- 设计了EWSSO,有29个新类和4个对象属性.
- 遵循域本体设计,术语,定义和分类的最佳实践.
主要成果:
- 欧洲社会工作组织成功地为NEWS,MEWS和qSOFA标准化了数据.
- 基于本体学的过程在区分必要/不必要的得分特征方面实现了100%的准确性.
- 该过程在100%的时间内正确地应用温度转换来计算分数.
结论:
- 该EWSSO促进生成和查询卫生系统的生命体征数据,用于计算NEWS,MEWS和qSOFA.
- 本体学使得用于预警分数计算的数据输入具有一致性.
- 未来的工作包括扩大儿童群体的EWSSO,并整合患者人口统计和结果数据.
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