The design of an m-Health monitoring system based on a cloud computing platform

TLDR

m‑Health monitoring systems face greater challenges in personalising health data processing than traditional hospital‑based services. The study designs a cloud‑based m‑Health monitoring framework to deliver personalised, high‑quality health monitoring. The framework comprises a multi‑tenant cloud storage layer for privacy, a linked‑open‑data annotation layer for semantic interoperability, and a data‑analysis layer using process mining and similarity metrics to support personalised treatment plans. The architecture was applied to monitor antimicrobial drug usage, demonstrating its usability for personal healthcare analysis.

Abstract

AbstractCompared to traditional medical services provided within hospitals, m-Health monitoring systems (MHMSs) face more challenges in personalised health data processing. 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. 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. In the data storage layer, a multiple tenant access method is designed to protect patient privacy. In the data annotation layer, linked open data are adopted to augment health data interoperability semantically. In the data analysis layer, the process mining algorithm and similarity calculating method are implemented to support personalised treatment plan selection. These three modules cooperate to implement the core functions in the process of health monitoring, which are data storage, data processing, and data analysis. 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.Keywords: cloud computinghospital information systemm-Health monitoring systeminteroperabilitylinked dataclinical decision supportView correction statement:Correction Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the National Natural Science Foundation of China [No. 61373030 and No. 71171132].