在德国急诊室记录的常规临床信息中识别了低急性患者的出勤情况
Anna Slagman1, Antje Fischer-Rosinský2, David Legg1
1Emergency and Acute Medicine (CVK, CCM), Health Services Research in Emergency and Acute Medicine, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
BMC emergency medicine
|June 6, 2023
概括
一种新方法使用常规数据确定了德国33.2%的低急性急诊室 (ED) 访问. 这样可以更好地监测医疗保健,并比较ED出勤率.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 紧急医疗 紧急医疗
- 医疗信息学 医疗信息学
背景情况:
- 在德国,由于缺乏标准化的定义,准确量化低急性急诊室 (ED) 出勤是具有挑战性的.
- 了解低急性诊断的影响对于优化医疗保健系统资源配置至关重要.
研究的目的:
- 开发和应用一种可靠的方法来识别和量化德国ED常规数据中的低急性出勤率.
- 为了能够在国家和国际上对低急性ED访问率进行标准化的比较.
主要方法:
- 分析了用于识别低急性ED出勤率的国际方法.
- 这些方法应用于两个三级护理医院 (柏林Charité-Universitätsmedizin,CCM和CVK) 的常规ED数据.
- 三个常规可用的参数 (处置,运输到ED,分类) 用于分类.
主要成果:
- 在2016年的演讲中,有33.2% (32,477场演讲中,有30676场) 被归类为低敏度演讲.
- 分类是基于处置,运输到ED和分拣数据.
- 这项研究利用了2016年来自柏林慈善大学医学院 (CVK,CCM) 的数据.
结论:
- 这项研究建立了一种可重复的方法,用于在德国ED常规数据中追溯识别和量化低敏度的出席率.
- 这些发现有助于在国家内和国际上对ED出勤人数进行比较.
- 这种方法支持未来的医疗监测和系统分析.
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