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将医生的直觉转化为可量化的数据:基于医院的临床监测,以补充现有的方法,以解决当前监测系统的缺陷
Evelien B van Kempen1, Emilie P Buddingh2, Merijn W Bijlsma3
1Department of Pediatrics, Juliana Children's Hospital, Haga Hospital, The Hague, The Netherlands; Department of General Pediatrics, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
概括
前线儿科医生是一线的儿科医生.
科学领域:
- 儿童传染病 儿童传染病
- 公共卫生监督 公共卫生监督
- 临床信息学 临床信息学
背景情况:
- 非正式的儿科医生沟通往往会为新出现的传染病提供早期见解.
- 当前的监控系统存在漏洞,经常错过这些早期的,事性的观察.
- 像MIS-C和急性肝炎这样的儿科实例凸显了正式承认的滞后.
研究的目的:
- 倡导在儿科中整合积极的,基于医院的临床监测.
- 提出一个结构化数据收集模型,以加强儿童传染病的早期检测.
- 弥合临床直觉和正式公共卫生监测之间的差距.
主要方法:
- 概述儿童医院网络中结构化数据收集的模型.
- 将国际疾病分类 (ICD) 编码的报告与自然语言处理 (NLP) 结合起来.
- 从电子健康记录中提取关键的临床特征.
主要成果:
- 前线临床意识往往在疾病的正式认可之前.
- 提出的系统将临床直觉转化为可操作的实时数据.
- 这些例子证明了早期临床洞察力在管理疫情中的价值.
结论:
- 将临床洞察与正式监测相结合,可以提高对儿科传染病的准备.
- 结构化数据收集可以实现及时干预并改善公共卫生反应.
- 这种方法改善了儿童传染病的早期检测,管理和结果.
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