![]() ![]() However, apart from Apps allowing patient's access to their electronic health records (EHRs), mHealth Apps are currently developed as dedicated "island systems". Mobile health Applications ( mHealth Apps) are opening the way to patients' responsible and active involvement with their own healthcare management. ![]() Marceglia, S Fontelo, P Rossi, E Ackerman, M J Finally, we study the application of our architecture in the monitoring of antimicrobial drug usage to demonstrate the usability of our method in personal healthcare analysis.Ī Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems. These three modules cooperate to implement the core functions in the process of health monitoring, which are data storage, data processing, and data analysis. In the data analysis layer, the process mining algorithm and similarity calculating method are implemented to support personalised treatment plan selection. In the data annotation layer, linked open data are adopted to augment health data interoperability semantically. In the data storage layer, a multiple tenant access method is designed to protect patient privacy. Furthermore, the modules of the framework, which are Cloud Storage and Multiple Tenants Access Control Layer, Healthcare Data Annotation Layer, and Healthcare Data Analysis Layer, are discussed. To achieve personalised and high-quality health monitoring by means of new technologies, such as mobile network and cloud computing, in this paper, a framework of an m-Health monitoring system based on a cloud computing platform (Cloud-MHMS) is designed to implement pervasive health monitoring. Xu, Boyi Xu, Lida Cai, Hongming Jiang, Lihong Luo, Yang Gu, YizhiĬompared to traditional medical services provided within hospitals, m-Health monitoring systems (MHMSs) face more challenges in personalised health data processing. The design of an m-Health monitoring system based on a cloud computing platform ![]()
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