E-Health Approaches for Developing Countries

Online and telecommunication services reduce the gap between level of health care service quality between villages and cities. In this research work, a study of five e-health models has been done. These models are simultaneously in use these days in developing countries such as India. The models are discussed in terms of their evolution and their application in various kinds of eHealth services. The paper gives definitive information on the technical standards and stacks required to build such eHealth communication models and services. Our study has found that most of these models are running concurrently in most of the developing countries and there is no absolute winner when they are compared with each other. It all depends upon the level of development in the respective country and commitment of their governments to provide affordable health care services to the masses. The paper also discusses the use of Cloud-based medical sensors, IoT and Fog computing approach as well the use of data mining and machine learning modelling to construct an e-Health System. In the second part of this paper, mathematical models and algorithms to diagnose the onset of health problems are given. The outcome of this study shows that there is a need for statistical as well as machine learning models to build eHealth solutions in developing countries. After this research a new model has been proposed which aims at providing better and affordable healthcare services and coincidentally benefits various other sectors.