自动化感染监测的联合系统:一个前景
Stephanie M van Rooden1, Suzanne D van der Werff2,3, Maaike S M van Mourik4
1Department of Epidemiology and Surveillance, Centre for Infectious Disease Epidemiology and Surveillance, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. stephanie.van.rooden@rivm.nl.
联合自动监测 (AS) 提供了一个解决方案,可以更有效地实施传染病监测. 这种方法增强了数据共享和隐私,克服了医疗保健相关感染和严重急性呼吸道疾病的当前实施障碍.
科学领域:
- 公共卫生 公共卫生
- 传染病流行病学 传染病流行病学
- 医疗信息学 医疗信息学
背景情况:
- 使用常规护理数据的自动监测 (AS) 可以减少工作量并提高传染病监测质量.
- 目前,障碍限制了AS的大规模实施,现有策略包括中央或本地数据处理.
- 联邦的AS,其中分析脚本是中央开发和本地应用,被探索作为一个潜在的解决方案.
研究的目的:
- 探索联邦自动监控 (AS) 的潜力,以克服目前面临的大规模实施的挑战.
- 评估联合AS在医疗保健相关感染 (AS-HAI) 和严重急性呼吸道疾病 (AS-SARI) 监测中的适用性.
- 确定成功实施联合AS的好处和先决条件.
主要方法:
- 一个基于视角的探讨联合AS的实施策略.
- 专注于AS-HAI和AS-SARI的共同和特定要求.
- 分析将中央和地方的AS实施方面结合起来所带来的好处.
主要成果:
- 联合AS提供了降低了本地监控负担,改善了数据访问,同时保持隐私,并加强了中央/本地监督.
- 它将中央系统的标准化与当地系统的实时数据访问和灵活性相结合.
- 促进全球AS发展和促进国际合作的潜力.
结论:
- 联合自动化监控为当前大规模实施AS-HAI和AS-SARI的障碍提供了可行的解决方案.
- 成功实施需要解决数据转换负担,确保治理,并获得利益相关方关于准确性,问责制,透明度和数据保护的协议.
- 先决条件包括结果的验证和网络参与者的明确评估要求,以确保理解和接受.
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