Suppr超能文献

加强辖区间疾病监测事件的沟通。

Enhancing Disease Surveillance Event Communication Among Jurisdictions.

作者信息

Tabernero Nathaniel R, Loschen Wayne A, Jorgensen Joel, Suereth Joshua, Coberly Jacqueline S, Holtry Rekha S, Sikes Marvin L, Babin Steven M, Lewis Sheryl L Happel

机构信息

Fortisphere, Glenwood, MD 21738, USA.

Applied Physics Laboratory, The Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723, USA.

出版信息

Biomed Inform Insights. 2010 Jan 22;2:31-41. doi: 10.4137/bii.s3523. eCollection 2009.

Abstract

Automated disease surveillance systems are becoming widely used by the public health community. However, communication among non-collocated and widely dispersed users still needs improvement. A web-based software tool for enhancing user communications was completely integrated into an existing automated disease surveillance system and was tested during two simulated exercises and operational use involving multiple jurisdictions. Evaluation of this tool was conducted by user meetings, anonymous surveys, and web logs. Public health officials found this tool to be useful, and the tool has been modified further to incorporate features suggested by user responses. Features of the automated disease surveillance system, such as alerts and time series plots, can be specifically referenced by user comments. The user may also indicate the alert response being considered by adding a color indicator to their comment. The web-based event communication tool described in this article provides a common ground for collaboration and communication among public health officials at different locations.

摘要

自动化疾病监测系统正被公共卫生界广泛使用。然而,非集中且分布广泛的用户之间的通信仍有待改进。一个用于增强用户通信的基于网络的软件工具被完全集成到现有的自动化疾病监测系统中,并在涉及多个辖区的两次模拟演练和实际运行中进行了测试。通过用户会议、匿名调查和网络日志对该工具进行了评估。公共卫生官员发现该工具很有用,并且该工具已进一步修改,以纳入用户反馈建议的功能。用户评论可以具体引用自动化疾病监测系统的功能,如警报和时间序列图。用户还可以通过在评论中添加颜色指示器来表明正在考虑的警报响应。本文所述的基于网络的事件通信工具为不同地点的公共卫生官员之间的协作和通信提供了一个共同平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b6/4909157/5125d123b881/bii-2-2009-031f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验