导航网络:对美国抗药物耐药性监测和数据流的叙事概述
Darin W Robillard1,2, Alexander J Sundermann3, Brian R Raux4
1Division of Public Health, University of Utah School of Medicine, Salt Lake City, UT, USA.
Antimicrobial stewardship & healthcare epidemiology : ASHE
|April 24, 2024
概括
改善抗菌素耐药性 (AMR) 监测需要在临床和公共卫生实验室之间进行更好的数据流. 加强基础设施和自动化可以简化共享抗微生物敏感性测试数据.
科学领域:
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
- 实验室科学 实验室科学
背景情况:
- 抗微生物耐药性 (AMR) 监测依赖于从临床环境到公共卫生实验室的数据.
- 当前的数据流往往是单向的和低效的,阻碍了及时的AMR跟踪.
- 关于用于AMR监测的临床实验室数据共享流程的文献有限.
研究的目的:
- 探索参与美国AMR监测的组织的角色和流程.
- 识别知识差距和改善数据共享的机会.
- 为更有效的AMR监测提出改进建议.
主要方法:
- 审查美国现有的AMR监测数据流.
- 分析临床和公共卫生实验室之间的通讯路径.
- 从成功的AMR监测模型中识别最佳实践.
主要成果:
- 反抗药物耐药性监测数据流已经建立,但在效率和定向方面面临挑战.
- 测试程序的变化使数据聚合和共享变得复杂.
- 成功的模型强调双向通信,集中数据库和数据标准化.
结论:
- 改善AMR监测需要加强数据流的基础设施和自动化.
- 数据的标准化,更好的沟通和现代化是关键的机会.
- 解决知识差距对于简化数据共享和加强公共卫生响应至关重要.
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