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International Journal Of Data Mining And Emerging Technologies
Year : 2011, Volume : 1, Issue : 2
First page : ( 46) Last page : ( 53)
Print ISSN : 2249-3212. Online ISSN : 2249-3220.
Article DOI : 10.5958/j.2249-3212.1.2.1

Evaluation of Various Database Architectures for Datawarehouses: a Case Study on ETL integrated EHR

Frank Christian1, Frank Lars1,*, Kumar A.V. Senthil2,**

1Department of IT Management, Copenhagen Business School, Howitzvej 60, DK-2000  Frederiksberg, Denmark.

2Department of MCA, Hindusthan College of Arts and Science Coimbatore-28. Tamilnadu. India.

*E-mail id: lpf.inf@cbs.dk

**E-mail id: avsenthilkumar@gmail.com

Online published on 6 February, 2012.

Abstract

EHR (Electronic Health Records) describing the diseases and treatments of patients are normally stored in the hospital locations or regions, where they are created. However, patients may be treated in different hospitals, and therefore, there is a need for integrating health records from different hospitals to enable any hospital to obtain a total overview of a patient's health-history. Two different types of heterogeneity problem have to be solved in order to integrate EHR systems from different hospitals in a consistent way. The first problem is that different hospitals normally do not use a common DBMS (Data Base Management System) system and therefore, the traditional ACID (Atomicity, Consistency, Isolation and Durability) properties are missing across the different hospital locations. The second heterogeneity problem is that there are different incompatible standards on how to make EHR registrations. The objective of this paper is to describe and evaluate different EHR database designs for storing more or less incompatible health records from different hospitals.

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Keywords

Distributed Electronic Health Records, Datawarehouse Modelling, ETL (Extract, Transform, and Load), System Integration, Multidatabases, In-Memory Databases.

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