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首页> 外文期刊>JMIR public health and surveillance. >Building an Interactive Geospatial Visualization Application for National Healthcare-Associated Infection Surveillance
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Building an Interactive Geospatial Visualization Application for National Healthcare-Associated Infection Surveillance

机译：为国家医疗保健相关感染监测构建互动地理空间可视化应用

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BACKGROUND:The Centers for Disease Control and Prevention's (CDC's) National Healthcare Safety Network (NHSN) is the most widely used health care-associated infection (HAI) and antimicrobial use and resistance surveillance program in the United States. Over 37,000 health care facilities participate in the program and submit a large volume of surveillance data. These data are used by the facilities themselves, the CDC, and other agencies and organizations for a variety of purposes, including infection prevention, antimicrobial stewardship, and clinical quality measurement. Among the summary metrics made available by the NHSN are standardized infection ratios, which are used to identify HAI prevention needs and measure progress at the national, regional, state, and local levels.OBJECTIVE:To extend the use of geospatial methods and tools to NHSN data, and in turn to promote and inspire new uses of the rendered data for analysis and prevention purposes, we developed a web-enabled system that enables integrated visualization of HAI metrics and supporting data.METHODS:We leveraged geocoding and visualization technologies that are readily available and in current use to develop a web-enabled system designed to support visualization and interpretation of data submitted to the NHSN from geographically dispersed sites. The server-client model-based system enables users to access the application via a web browser.RESULTS:We integrated multiple data sets into a single-page dashboard designed to enable users to navigate across different HAI event types, choose specific health care facility or geographic locations for data displays, and scale across time units within identified periods. We launched the system for internal CDC use in January 2019.CONCLUSIONS:CDC NHSN statisticians, data analysts, and subject matter experts identified opportunities to extend the use of geospatial methods and tools to NHSN data and provided the impetus to develop NHSNViz. The development effort proceeded iteratively, with the developer adding or enhancing functionality and including additional data sets in a series of prototype versions, each of which incorporated user feedback. The initial production version of NHSNViz provides a new geospatial analytic resource built in accordance with CDC user requirements and extensible to additional users and uses in subsequent versions.?Shuai Zheng, Jonathan R Edwards, Margaret A Dudeck, Prachi R Patel, Lauren Wattenmaker, Muzna Mirza, Sheri Chernetsky Tejedor, Kent Lemoine, Andrea L Benin, Daniel A Pollock. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 30.07.2021.
机译：背景：疾病控制和预防的中心（CDC）国家医疗保健安全网络（NHSN）是美国最广泛使用的医疗保健相关感染（HAI）以及美国的抗微生物使用和抵抗监测计划。超过37,000多个医疗保健设施参加该计划并提交大量监控数据。这些数据由设施本身，CDC和其他机构和组织用于各种目的，包括预防性，抗微生物管道和临床质量测量。 NHSN提供的摘要指标是标准化的感染率，用于识别海拔预防需求，并在国家，区域，州和地方层面衡量进展。目的：将使用地理空间方法和工具扩展到NHSN的使用数据，然后反过来促进和激发渲染数据的新用途进行分析和预防目的，我们开发了一种支持网络的系统，可以集成HIE指标和支持数据的可视化。方法：我们利用了易于的地理编码和可视化技术可用和当前用途开发启用Web的系统，旨在支持从地理上分散的网站向NHSN提交的数据的可视化和解释。基于服务器的基于模型的系统使用户能够通过Web浏览器访问应用程序。结果：我们将多个数据集集成到一个单页仪表板中，该仪表板旨在使用户能够跨不同的海终事件类型导航，请选择特定的医疗保健设施或选择特定的医疗保健设施或选择特定的医疗保健设施或数据显示的地理位置，并在已识别的句点内横跨时间单位缩放。我们于2019年1月推出了内部CDC系统.CONCLUSIONS：CDC NHSN统计学家，数据分析师和主题专家确定了扩展使用地理空间方法和工具到NHSN数据的机会，并提供了开发NHSNVIZ的推动力。开发工作迭代地进行，开发人员添加或增强功能并在一系列原型版本中包括其他数据集，其中每个原型版本都包含用户反馈。 NHSNVIZ的初始生产版本提供了一种根据CDC用户要求构建的新的地理空间分析资源，并在后续版本中使用，并在后续版本中使用.?Shuai Zheng，Jonathan R Edwards，Margaret A Dudeck，Prachi R Patel，Lauren Wattenmaker，Muzna Mirza，Sheri Chernetsky Tejedor，Kent Lemoine，Andrea L Benin，Daniel A Pollock。最初发表在JMIR公共卫生和监视（HTTPS://Publichealth.jmir.org），30.07.2021。

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