Abstract: A cloud-edge collaborative processing system includes: an edge computing system, an ICU diagnosis and treatment device, a service terminal device, and a cloud platform. The edge computing system collects multi-source heterogeneous medical data output from the ICU diagnosis and treatment devices and performs preprocessing, stores preprocessed data into an edge database, and connects to the cloud platform for data transmission and business interaction. The cloud platform connects to a plurality of edge computing systems to perform computation and processing of massive data. The medical-staff handheld terminals and the data terminals of wards are used to issue service instructions to the cloud platform to obtain the required third-party-business services.

Abstract: Disclosed are a method and system for generating a data analysis report of a multi-parameter monitoring device. The method includes: receiving, by an application server, multi-parameter data transmitted in real time by the multi-parameter monitoring device, and storing the received multi-parameter data in a database server; the application server receiving a report generation instruction transmitted by a client, the instruction including a client identifier used for indicating a permission of the client; if the permission is a first mode permission, transmitting the multi-parameter data to the client, to allow the client to process the multi-parameter data, so as to generate a multi-parameter analysis report and a report attachment; and if the permission is a second mode permission, the application server processing the multi-parameter data to generate the multi-parameter analysis report and the report attachment, and transmitting the multi-parameter analysis report and the report attachment to the client.

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.