计算机化决策支持系统为社区获得的肺炎监测提供信息,法国,2017-2023年
Emerging infectious diseases
|October 24, 2024
概括
一个计算机化决策支持系统通过检测法国社区获得的肺炎病例增加了66%,从而加强了肺炎监测. 这些实时数据在国家发出警报一个月前提供了早期警告.
科学领域:
- 公共卫生 公共卫生
- 传染病监测 传染病监测 传染病
- 医疗信息学 医疗信息学
背景情况:
- 肺炎监测对公共卫生至关重要.
- 实时数据可以改善疾病监测.
- 计算机化决策支持系统 (CDSS) 提供了加强监控的潜力.
研究的目的:
- 评估CDSS在初级保健中的实用性,以加强肺炎监测.
- 评估系统检测社区获得性肺炎 (CAP) 趋势的能力.
主要方法:
- 在初级保健机构中利用CDSS的实时数据.
- 分析了法国人口2018年至2023年的CAP发病率趋势.
- 将系统检测到的趋势与国家警报时间表进行比较.
主要成果:
- 在CDSS中,发现了CAP的显著增加.
- 在2018年至2023年期间,CAP的66%上升 (95%CI64%-67%) 被观察到.
- 该系统在发出国家警报前一个月检测到这种增加.
结论:
- 从初级保健中CDSS获得的实时数据对于肺炎监测有价值.
- CDSS可以提供疾病爆发的早期检测,使及时的公共卫生干预成为可能.
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