公共卫生应用大数据的这几个方向你知道吗

　　传染病防控：在新型冠状病毒肺炎等传染病防控中，大数据技术被广泛应用于实时数据监测、医疗物资调度、疫情APP工具开发等方面，提升了公共卫生体系的应急处置和常态化防控能力。

　　Infectious disease prevention and control: In the prevention and control of infectious diseases such as novel coronavirus pneumonia, big data technology is widely used in real-time data monitoring, medical material scheduling, epidemic situation APP tool development and other aspects, improving the emergency response and normalized prevention and control capabilities of the public health system.

　　慢性病管理：通过电子病历和电子健康档案的数据筛选与分析，能够有效识别传染源的共性特征，洞察病毒的种类、特征、发病规律、传播途径与潜在威胁，为进一步确定病毒来源与加强卫生防控提供重要依据。

　　Chronic disease management: Through data screening and analysis of electronic medical records and electronic health records, it is possible to effectively identify the common characteristics of infectious sources, gain insight into the types, characteristics, incidence patterns, transmission routes, and potential threats of viruses, and provide important basis for further determining the source of viruses and strengthening health prevention and control.

　　预测预警系统：建立重大卫生事件预测预警模型，根据各种数据指标的变动趋势，提前预测出重大事件爆发的可能时间、地域和严重程度，以便提前做好准备工作。

　　Prediction and early warning system: Establish a prediction and early warning model for major health events, predict the possible time, region, and severity of major event outbreaks in advance based on the changing trends of various data indicators, in order to prepare in advance.

　　智能化救治与研发：大数据能够促进公共卫生领域救治与研发的智能化，提高用药的针对性与准确性，提升救治水平。

　　Intelligent treatment and research and development: Big data can promote the intelligence of treatment and research in the public health field, improve the targeting and accuracy of medication, and enhance the level of treatment.

　　风险监控及流行病分析：大数据应用研究涉及到风险和资源的预测、人口管理、药品和医疗器械的监控等多个方面，这些方面大致可概括为卫生保健和医疗服务、风险监控及流行病分析两个基本领域。

　　Risk monitoring and epidemic analysis: Big data application research involves multiple aspects such as risk and resource prediction, population management, and safety monitoring of drugs and medical devices. These aspects can be roughly summarized as two basic fields: healthcare and medical services, risk monitoring and epidemic analysis.

　　个人与群体健康管理：个人慢性病管理和群体慢性病管理的大数据应用模式表现为对个人慢性病的监测与评估、个体化干预以及慢性病群体特征刻画、发展预测、管理评估和监护

　　Individual and group health management: The big data application model of individual and group chronic disease management is manifested as monitoring and evaluation of individual chronic diseases, personalized intervention, characterization of chronic disease group characteristics, development prediction, management evaluation, and monitoring

　　以上是关于 公共卫生数据采集系统 的介绍，若想了解相关知识可请点击：http://www.guantangyiliao.com/ 我们将会全心全意为您提供满分服务，欢迎您的来电！

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