Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center

Abstract

The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.