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首页> 外文期刊>The HIM journal >Web-based geo-visualisation of spatial information to support evidence-based health policy: a case study of the development process of HealthTracks.
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Web-based geo-visualisation of spatial information to support evidence-based health policy: a case study of the development process of HealthTracks.

机译：基于网络的空间信息地理可视化，以支持基于证据的卫生政策：HealthTracks开发过程的案例研究。

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Place is of critical importance to health as it can reveal patterns of disease spread and clustering, associations with risk factors, and areas with greatest need for, or least access to healthcare services and promotion activities. Furthermore, in order to get a good understanding of the health status and needs of a particular area a broad range of data are required which can often be difficult and time consuming to obtain and collate. This process has been expedited by bringing together multiple data sources and making them available in an online geo-visualisation, HealthTracks, which consists of a mapping and reporting component. The overall aim of the HealthTracks project is to make spatial health information more accessible to policymakers, analysts, planners and program managers to inform decision-making across the Department of Health Western Australia. Preliminary mapping and reporting applications that have been utilised to inform service planning, increased awareness of the utility of spatial information and improved efficiency in data access were developed. The future for HealthTracks involves expanding the range of data available and developing new analytical capabilities in order to work towards providing external agencies, researchers and eventually the general public access to rich local area spatial data.
机译：场所对于健康至关重要，因为它可以揭示疾病传播和聚集的模式，与危险因素的关联以及对医疗服务和促进活动的需求最大或最少的区域。此外，为了更好地了解特定区域的健康状况和需求，需要广泛的数据，而获取和整理数据通常很困难且耗时。通过整合多个数据源并使它们在在线地理可视化HealthTracks中可用，从而加快了此过程，HealthTracks由地图和报告组件组成。 HealthTracks项目的总体目标是使政策制定者，分析人员，规划人员和项目经理可以更轻松地获取空间健康信息，从而为整个西澳大利亚州卫生部的决策提供依据。已开发出用于服务规划的初步制图和报告应用程序，对空间信息效用的更高认识以及数据访问效率的提高。 HealthTracks的未来涉及扩大可用数据的范围并开发新的分析功能，以努力为外部机构，研究人员，并最终为公众提供丰富的本地空间数据。

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