使用电子健康记录验证软件应用程序,用于自动检测社区发病性败血症
Cristian Duré1,2, Sandra Jonmarker3,4, Eva Joelsson-Alm3,4
1Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden. cristian.dure@ki.se.
Scientific reports
|May 12, 2025
概括
一个新的软件工具准确地识别社区发病的败血症在急诊室使用电子健康记录和败血症-3标准. 这种败血症检测应用程序显示出高性能,有助于研究和医疗监测.
科学领域:
- 医疗信息学 医疗信息学
- 传染病研究 传染病研究
- 临床软件开发 临床软件开发
背景情况:
- 败血症是一种危及生命的疾病,需要及时识别.
- 目前用于识别败血症的方法,如诊断代码,可能不足.
- 社区发病的败血症在紧急情况下存在独特的诊断挑战.
研究的目的:
- 设计和验证一个软件应用程序,以追溯识别社区发病的败血症.
- 在软件中使用败血症-3标准,以准确检测败血症病例.
- 通过使用电子健康记录数据对医生评论进行软件性能评估.
主要方法:
- 开发了一个QlikView应用程序,集成来自TakeCare和CliniSoft电子健康记录的数据.
- 雇佣的指标包括血培养,抗生素给药和顺序器官衰竭评估得分.
- 在一个大型医院队列上进行了回顾性测试,并将研究结果与医生记录审查进行了比较.
主要成果:
- 该应用程序在60,213例住院患者中确定了7027例败血症病例.
- 验证显示了高性能指标:95%的灵敏度,99%的特异性,92%的积极预测值和99%的负预测值.
- 下呼吸道感染是最常见的败血症来源.
结论:
- 开发的软件有效地识别社区发作的败血症,使用电子健康记录数据和败血症-3标准.
- 这种工具为改善败血症研究和监测提供了潜力,独立于诊断代码.
- 该应用程序可以作为一种有价值的工具,用于加强毒症识别和质量改进举措.
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