Data Integration of Electronic Health Records using Artificial Neural Networks

This paper presents a system that uses cloud computing to deliver a cost effective clinical care to patients. The central component of the proposal is an electronic health record system that acts as a patient centric model, enabling health care providers to access complete patient records from any location anytime. A hybrid cloud computing model is proposed to connect all health care facilities together at a national scale. However, due to the heterogeneity of clinical database schemas, a novel technique is needed for solving the problem of data heterogeneity such that all health care providers are capable of sharing electronic health records easily. In this paper, a semi-automated classification technique using Artificial Neural Networks is adopted to solve the problem of data integration. To prove the potential of the model, an experiment was carried out and promising results were achieved.