医疗健康大数据分析能发挥区域卫生信息平台上汇聚采集的数据价值。针对目前医疗健康大数据分析存在的一些关键问题，结合在上海市卫计委医疗健康大数据分析的项目案例，探讨了医疗健康大数据关键问题的对策。研究成果表明解决医疗健康大数据关键问题非常重要，包括确定医疗健康大数据业务主题、医疗健康大数据技术架构、医疗健康数据的数据分类、医疗健康数据标准制定策略、医疗健康数据治理策略和医疗健康大数据分析关键技术。案例研究表明，解决医疗健康大数据的关键问题对已有医疗健康数据做科研分析、临床指导、医学经济研究等具有重要意义。%In view of the present medical health the key problems of big data analysis, combined the case of medical health big data analysis of Shanghai regional health projects, put forward the countermeasures to solve the key problems of medical health big data. Research shows that solving the medical health big data problems is very important. Including expounds the medical health big data application research status quo and necessity, discusses the medical health big data analysis key problems, medical health big data analysis strategy are given, including determine the medical health big data business subject, determine medical health big data technical architecture, medical health data classification, medical health data standards formulate strategy, medical health data governance policies, medical health big data analysis key technology. Case study shows that, solve the critical issue of medical health big data analysis has the vital significance, to existing medical health data to do scientific research, clinical guidance, and medical economic research.
展开▼
