从电子健康记录数据开发和验证自动更新的痛风登记册
Nils Bürgisser1,2,3, Denis Mongin4,3, Samia Mehouachi4,5
1Division of Rheumatology, Geneva University Hospitals, Geneva, Switzerland nils.burgisser@hug.ch.
RMD open
|April 25, 2024
概括
使用电子健康记录 (EHR) 进行的自动化痛风登记是跟踪痛风病例的有效方法. 该研究发现,自COVID-19大流行以来,痛风诊断率显著下降,这表明潜在的诊断不足.
科学领域:
- 类风湿病学 类风湿病学
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 痛风管理需要准确的患者鉴定和监测.
- 电子健康记录 (EHR) 为创建疾病登记册提供了一个潜在的数据源.
- 开发疾病监测的自动化方法可以改善公共卫生洞察力.
研究的目的:
- 使用EHR数据开发和验证一个自动的痛风注册表.
- 通过EHR标准评估鉴定痛风患者的可行性和准确性.
- 分析痛风发病率趋势和患者特征.
主要方法:
- 在高等学术医院对成年患者 (2013-2022) 电子病历数据的分析.
- 包括标准:ICD-10痛风诊断,尿酸降低疗法,晶体识别或特定报告术语.
- 通过图表审查验证,以确定正预测值 (PPV) 和负预测值 (NPV).
主要成果:
- 创建了一份5138名高PPV (92.4%) 和NPV (94.3%) 的痛风患者登记册.
- 痛风发病率为每1000人/年2.9,在COVID-19大流行后观察到30%的下降.
- 痛风患者年龄较大,主要是男性,超重,并患有多种并发症.
结论:
- 基于EHR的自动化痛风登记是一个可行的和有效的工具,用于痛风管理评估.
- 该登记处发现,自COVID-19大流行以来,痛风的诊断不足或报告不足显著.
- 这种工具可以帮助改善痛风护理和了解疾病趋势.
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