P2P-based open health cloud for medicine management

Much attention has recently been given to changes in medical services, such as remote medical services and healthcare services customized for users, where cloud technology is utilized in the health and medical industries. It is possible to utilize health information needed by users in real time if medical records and health information are saved through this, so that the level of medical practice increases, and medical information in a new form can be predicted and provided based on big data analysis and processing through the accumulated medical data. Thus, studies of mobile services utilizing this are being conducted. In particular, there is an increasing demand for the development of a cloud-based service in pharmaceutical management. With the development of modern medicine, by simply taking medicine it has become possible to treat diseases that in the past might have threatened lives. When patients get prescriptions for various medicines, it is necessary to know what role and effect they have, and in order to prevent misuse and abuse, it is necessary to provide correct and accurate information about these medicines. Numerous drugs enhance quality of life, but those aimed at treatment may be lethal unless patients know how to take them. In this study, we propose a peer-to-peer (P2P)-based open health cloud for medicine management. The proposed system is designed to smoothly provide a virtual cloud service by building up various cloud environments and communicating with cloud servers in a pre-reserved, on-demand method. The aim is to resolve the problems of data processing and reduce delays with wireless body area networks (WBANs), which occur in existing cloud health services, and to enhance stability and QoS for things like response time. In addition, to integrate personal health record (PHR) data stored in an internal medical database built up by each institution, and for the integration of various medical systems, the proposed system is designed to allow access to file managers through open database connectors, and it includes source connectors that link to external systems. Based on this, an access interface was designed to provide a mobile chat-bot service for user convenience. The proposed system is a mobile health service in the form of a chat-bot to quickly deal with changes through incidents that may occur because users take the wrong medicine by mistake in their everyday lives. To build up and analyze big data based on information collected in various ways, and to provide the data to users conveniently, the service is broadly divided into five classes, and in each class and in each service class is a customized user interface/user experience.