摘要
目的:通过北京市电子病历共享工程建立全生命周期的电子健康档案,以提高医疗卫生服务质量和效率。方法:整合现有各医疗卫生机构的信息资源,通过深入的数据挖掘和分析,在卫生信息平台基础之上,建立协同应用以及各级医疗卫生机构与相关部门之间的区域卫生协同服务模式;建立疾病实时动态监测、健康管理的城乡一体化卫生管理模式。结果:基于电子病历共享工程的电子健康档案,形成了"社区首诊、分级就诊、双向转诊和社区康复"的就医新格局,为各医疗机构进行医疗科研、大数据分析提供了强大的数据支持和技术支持。结论:利用电子病历共享工程对当前大量医疗健康数据进行有效分析处理,能够满足卫生行政管理部门、医疗卫生机构、相关科研机构等的决策分析需求,提升管理部门信息监管和决策服务能力。
Objective：To enhance the quality and efficiency of medical health service through Beijing Electronic Medical Record project for establishing electronic health records of whole life cycle.Methods： Through integrated the information resources of existed medical and health organizations and deeply mined and analyzed data, the collaborative application and region health collaborative service model between various medical health organization and relative department were established and it was based on health information platform. And then the integration of urban and rural health management model, which could real-timely dynamically monitor disease and manage health, was established.Results： The electronic health record, that based on the sharing project of electronic medical record, formed new pattern of medical treatment which included ＆quot;first diagnosis in community, grading diagnosis and treatment, dual referral and community rehabilitation＆quot;. And it provided strong data support and technique support for scientific research of medicine and analysis of big data for various medical organization.Conclusion： The model that sharing project of electronic medical record is used to efficaciously analyze and process large number of medical health data, and it can satisfy the requirement of decision analysis of health administrative department, medical and health organization, relative scientific and research organization and so on, and it also can enhance the capabilities of information monitoring and decision service of administrative department.
出处
《中国医学装备》
2017年第9期113-116,共4页
China Medical Equipment
关键词
电子病历共享
数据采集
优化就诊
医疗科研应用
医疗大数据分析
Electronic medical record sharing
Data collection
Optimize treatment
Medical research applications
Medical data analysis
