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用于公共卫生监测的国家零售数据监测器的设计。

Design of a national retail data monitor for public health surveillance.

作者信息

Wagner Michael M, Robinson J Michael, Tsui Fu-Chiang, Espino Jeremy U, Hogan William R

机构信息

The RODS Laboratory, Center for Biomedical Informatics, University of Pittsburgh, Suite 550, 100 Technology Drive, Pittsburgh, PA 15219, USA.

出版信息

J Am Med Inform Assoc. 2003 Sep-Oct;10(5):409-18. doi: 10.1197/jamia.M1357. Epub 2003 Jun 4.

Abstract

The National Retail Data Monitor receives data daily from 10,000 stores, including pharmacies, that sell health care products. These stores belong to national chains that process sales data centrally and utilize Universal Product Codes and scanners to collect sales information at the cash register. The high degree of retail sales data automation enables the monitor to collect information from thousands of store locations in near to real time for use in public health surveillance. The monitor provides user interfaces that display summary sales data on timelines and maps. Algorithms monitor the data automatically on a daily basis to detect unusual patterns of sales. The project provides the resulting data and analyses, free of charge, to health departments nationwide. Future plans include continued enrollment and support of health departments, developing methods to make the service financially self-supporting, and further refinement of the data collection system to reduce the time latency of data receipt and analysis.

摘要

国家零售数据监测机构每天从包括药店在内的10000家销售医疗保健产品的商店接收数据。这些商店属于全国性连锁店,它们集中处理销售数据,并利用通用产品代码和扫描仪在收银机处收集销售信息。高度自动化的零售销售数据使监测机构能够近乎实时地从数千个店铺位置收集信息,用于公共卫生监测。该监测机构提供用户界面,在时间轴和地图上显示销售汇总数据。算法每天自动监测数据,以检测异常销售模式。该项目将所得数据和分析结果免费提供给全国的卫生部门。未来计划包括继续接纳和支持卫生部门,开发使该服务实现财务自给自足的方法,以及进一步完善数据收集系统,以减少数据接收和分析的时间延迟。

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