New intelligent network approach for monitoring physiologicalparameters: the case of Benin

Abstract

Benin health system is facing many challenges as: (i) affordable high-quality health care to a growing population providing need, (ii) patients’hospitalization time reduction, (iii) and presence time of the nursing staff optimization. Such challenges can besolved by remote monitoring of patients. To achieve this, five steps were followed. 1) Identification of the Wireless Body AreaNetwork (WBAN) systems’characteristics and the patient physiological parameters’monitoring. 2) The national IntegratedPatient Monitoring Network (RIMP) architecture modeling in a cloud of Technocenters. 3) Cross-analysis between the charac-teristics and the functional requirements identified. 4) Each Technocenter’s functionality simulation through: a) the designapproach choice inspired by the life cycle of V systems; b) functional modeling through SysML Language; c) the communicationtechnology and different architectures of sensor networks choice studying. 5) An estimate of the material resources of the nationalRIMP according to physiological parameters. A National Integrated Network for Patient Monitoring (RNIMP) remotely, ambu-latory or not, was designed for Beninese health system. The implementation of the RNIMP will contribute to improve patients’care in Benin. The proposed network is supported by a repository that can be used for its implementation, monitoring andevaluation. It is a table of 36 characteristic elements each of which must satisfy 5 requirements relating to: medical application,design factors, safety, performance indicators and materiovigilance.