Scalability of encryption techniques for electronic health record (EHR) retrieval

Shin, David, Sahama, Tony R., Kim, Steve (Jung Tae), & Kim, Ji-Hong (2011) Scalability of encryption techniques for electronic health record (EHR) retrieval. In Hur, C (Ed.) Proceedings of the International Conference of KIMICS 2011, The Korea Institute of Maritime Information and Communication Sciences, Uzbekistan, pp. 54-57.


Electronic Health Record (EHR) retrieval processes are complex demanding Information Technology (IT) resources exponentially in particular memory usage. Database-as-a-service (DAS) model approach is proposed to meet the scalability factor of EHR retrieval processes. A simulation study using ranged of EHR records with DAS model was presented. The bucket-indexing model incorporated partitioning fields and bloom filters in a Singleton design pattern were used to implement custom database encryption system. It effectively provided faster responses in the range query compared to different types of queries used such as aggregation queries among the DAS, built-in encryption and the plain-text DBMS. The study also presented with constraints around the approach should consider for other practical applications.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 50381
Item Type: Conference Paper
Refereed: Yes
Keywords: Data encryption, Electronic health record, DAS, Bucket Index, Bloom filter
ISBN: 978896125487893560
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 KIMICS
Copyright Statement: All rights are reserved. No part of this publication may be reproduced, stored in an retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the written permission of the publisher. Single photocopies of single articles may be made for private study or research. Illustrations and short extracts from the text of individual contributions may be copied provided that the source is acknowledged, the permission of the authors is obtained.
Deposited On: 16 May 2012 03:43
Last Modified: 12 Jun 2013 14:47

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page