Modeling Stack Framework for Accessing Electronic Health Records with Big Data Needs

In the recent years information technology has brought remarkable changes in various areas including health care services. The use of Electronic Health Records (EHRs) for maintaining and analyzing health care data online has set the clinical environment on the accelerating path of changes. These digitized health care records are form of Big Data, as they are voluminous, dynamic and heterogeneous. It is desirable to extract relevant information from EHRs and offer healthcare recommendations to novice users or various stakeholders of the clinical environment. In this paper, a sample modelling of general framework, based on extracting patterns and generating recommendations is reviewed for maintaining and accessing EHRs, which are form of Big Data. The main focus of the paper is to propose how data storage with Big Data stores and analytics with MapReduce paradigm, may be performed on simulated health data.