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MEDICAL CLOUD PLATFORM DATA SHARING SYSTEM AND METHOD BASED ON THIRD-PARTY SERVICE

机译:基于第三方服务的医疗云平台数据共享系统及方法

摘要

The present application belongs to the field of medical cloud platforms and relates to a medical cloud platform data sharing system and method based on a third-party service. The system comprises a terminal device and a cloud platform. The method comprises: the cloud platform receives massive vital sign data sent by the terminal device, applies a deep learning framework of distributed parallel computing to analyze and process the massive vital signs data, screens abnormal data, sends an abnormal event early warning to a user, and prompts medical personnel to quickly perform an intervention; the terminal device can send an instruction to the cloud platform, wherein the instruction comprises a user-defined setting instruction, a real-time data service instruction, a data calling instruction, a medical document service instruction, a consultation service instruction, a medical cooperation information publishing instruction, a data analysis statistics instruction, a patient state assessment instruction, a data analysis report management instruction, and a medical tool library query instruction, and the terminal device obtains the support of different third-party services. The present application improves the medical quality and the working efficiency of the user, and reduces the labor intensity and the work pressure of the medical personnel.
机译:本申请属于医学云平台领域,涉及一种基于第三方服务的医学云平台数据共享系统及方法。该系统包括终端设备和云平台。该方法包括:云平台接收终端设备发送的海量生命体征数据,应用分布式并行计算深度学习框架对海量生命体征数据进行分析处理,筛选异常数据,向用户发送异常事件预警。 ,并提示医务人员迅速进行干预;终端设备可以向云平台发送指令,该指令包括用户定义的设置指令,实时数据服务指令,数据调用指令,医疗文件服务指令,咨询服务指令,医疗合作信息发布指令,数据分析统计指令,患者状态评估指令,数据分析报告管理指令和医疗工具库查询指令,终端设备获得不同第三方服务的支持。本申请提高了使用者的医疗质量和工作效率,降低了医务人员的劳动强度和工作压力。

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