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GIS Based Health Information Management through LETL, Multi Criteria Query, Analysis, Visualization

机译:基于GIS的健康信息管理通过Letl,Multi标准查询,分析,可视化

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摘要

For effective decision making in public health information management(HIM) system, health information availability, accessibility, prompt exchange, GIS linkage, spatiotemporal analysis of diseases is crucial. Lack of cost-effective technical support and information gaps are the main obstacles in HTM. This article defines a generic conceptual process framework for effective HIM that provides cost-effective, portable, easy to use solution. The solution incorporates GIS, Mobile technology, information management concepts, ICD-10 codes, WHO and mHealth standards. The current research is implemented as an android application that facilitates: 1) Patient disease data collection, geospatial mapping of disease data and accumulate a centralized server 2) LETL that supports bulk disease data upload 3) Addresses syntactic and semantic heterogeneity in health data 4) A strong multi-criteria query engine, visualization and spatiotemporal analysis of diseases are designed with a global perspective to be used across the globe.
机译:有效决策在公共卫生信息管理(HIM)系统,健康信息可用性,可访问性,迅速交换,GIS联动,疾病的时尚分析至关重要。缺乏成本效益的技术支持和信息差距是HTM中的主要障碍。本文定义了一种通用的概念过程框架,可为他提供经济高效,便携,易于使用的解决方案。该解决方案包含GIS,移动技术,信息管理概念,ICD-10代码,世卫组织和MHEALTE标准。目前的研究实施为促进的Android应用程序:1)患者疾病数据收集,疾病数据的地理空间映射并累积支持批量疾病数据上传3)的Letl,解决了健康数据中的句法和语义异质性4)对疾病的强大的多标准查询引擎,可视化和时空分析是以全球范围用于全球使用的全球视角。

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