Modeling an Integrated Network for Remote Patient Monitoring, based on the Internet of Things for a More Preventive and Predictive Health System in West Africa

Abstract

Background: Because of the health systems globalization, it is important to examine health systems organization in Africa, in terms of patient care, to highlight the failures and propose possible solutions. Objective: Modeling based on the Internet of Things (IoT) an Integrated Network for Monitoring Patient Data in West African Health Systems. Methodology: To achieve this, three steps have been followed. 1) Identification of the different characteristics of IoT-based health surveillance systems, WBAN systems and physiological parameters monitorable on a patient. 2) The modeling of the architecture of West African health systems in the form of a cloud of Technocentres. 3) Cross analysis between different IoT technologies, characteristics and functional requirements identified. All this is based on wireless medical sensor networks in Wireless Body Area Network (WBAN) systems. Result: This work has been used to model health systems in Africa as a remote monitoring network for patients. Conclusion: The implementation of this model of monitoring networks will be a tool for supporting large-scale decision-making for a health system in Africa. It will enable the West African health system to have an information database.

Irrationality of Digital Medicine: VR, IoT and AI in Practice

“…IoT facilitated Remote Patient Monitoring (RPM) system has enormous benefits to streamlining and enhancing health care delivery to proactively predict health issues and diagnose, treat, and monitor patients both in and out of the hospital [19].…”