MEDBIZ Big Data Platform Based on Enterprise Support for Digital Healthcare Service using Internet of Medical Things (Preprint)

Abstract

UNSTRUCTURED The aim of this study is to introduce the implemented big data platform (MEDBIZ) based on the internet of medical things (IoMT) supporting digital healthcare services and to discuss about application cases of this platform. Implemented MEDBIZ platform based on the IoMT devices and big data to provide digital healthcare services to the enterprise and users. The big data platform is consisting of four main components: IoMT, Core, Analytics, and Services. IoMT component is used for lifelog data acquisition and collection from the IoMT devices. The core components are composed of the main functional operations including the metadata, resource brokers and computing elements, virtual file system, security, and system logs. Analytics component is covered data analyzing frameworks such as Hadoop, Spark, R, and TensorFlow. Finally, the service component can support the web-based or mobile app-based digital healthcare services through the Open API to the end-users. As a result, an implemented big data platform can provide various digital healthcare services using various IoMT devices. Among them, we are focusing on detailed empirical studies about chronic obstructive pulmonary disease (COPD), metabolic syndrome, vital sign, arrhythmia, and diabetes monitoring services. We demonstrated the implemented MEDBIZ platform based on IoMT supporting digital healthcare services by acquiring real-world data for getting the real-world evidence. And then through this platform, we are developing Software as a Medical Device (SaMD), digital therapeutics, and digital healthcare services, and contributing to the development of the digital health ecosystem.