Optimizing the Telemedicine Services and Health Informatics From System Identification of the Risk Level in Peruvian Northwestern Cities

Abstract

We use the so-called nonlinear system identification methodology to model the level of risk in those Peruvian Peri urban zones along the northwestern cities and which are under an imminent thread of being flooded due to climate changes. In this paper we evaluate the prospective role of the eHealth services which might be relevant in the sense of providing effective assistance in times of flooding particularly in those vulnerable human groups. To this end we use a mathematical formalism that identifies the system to extract the main system parameters of the system for a subsequent usage of them in the modeling of Telemedicine services and eHealth dynamics. We present some simulations of how these electronic services can be useful to attenuate critic consequences. This paper evaluates the fact of deploying ehealth services in areas of risk in the city of Piura.