eHealth services based on Monte Carlo algorithms to anticipate and lessen the progress of type-2 diabetes

Abstract

We present a computer-based eHealth system expected to provide tele-consults aimed to reduce complications due to the diabetes disease in adult population mainly between 30 and 60 years old. The software of the tele-consultations system which is essentially based in probabilities is entirely based in the Monte Carlo technology. This stochastic method is supported with a mathematical model which is build through acquired data that allows us to model and carry out predictions on the glucose’s values in time within a certain statistical error. The idea behind of this eHealth system is the rapid identification of those people with a potential risk to acquire complications derived from the high values of glucose in time. The conclusion derived from this study supports the fact that opportune intervention derived from the tele-consultations might alleviate and to improve the diabetes treatment by employing simple low-cost mobile phones and minimal software applications. We illustrated the prospective implementation of this tele-care system with simulations for people with an old diagnosis of diabetes and demonstrating the prospective role o these eHealth systems aimed to improve the quality of life in the middle and long term. From a combined sample composed by acquired data and Monte Carlo, 3 from 4 diabetes patients might be keeping a desirable control of their glucose’s values with a continuous assistance of an eHealth system.