Mining Standardized Semantic Interoperable Electronic Healthcare Records

Abstract

There is vast potential for data mining applications in healthcare. Generally, these applications can be grouped as the evaluation of treatment effectiveness; management of healthcare; customer relationship management; and detection of fraud and abuse. To build the knowledge that is universally true, data has to be collected from all over the world. Collecting such large amount of data to prepare a single database that can be used to apply data mining techniques requires many challenges to be faced by the researcher. Till date no standard is adopted universally that imposes some guidelines on storing the data in a particular format. We propose to use a generic database to collect standardized EHR data that is available in different formats and at different geographical regions. This paper proposes a framework for applying data mining techniques to healthcare database stored on the basis of row model. We also try to incorporate protective measures in the architecture for privacy of the user, try to secure the data collected from various sources and also use of authentication mechanism at interface level. © Springer-Verlag Berlin Heidelberg 2014.