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


Autoria(s): Shin, David; Sahama, Tony R.; Kim, Steve (Jung Tae); Kim, Ji-Hong
Contribuinte(s)

Hur, C

Data(s)

2011

Resumo

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.

Identificador

http://eprints.qut.edu.au/50381/

Publicador

The Korea Institute of Maritime Information and Communication Sciences

Relação

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.

Direitos

Copyright 2011 KIMICS

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Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080600 INFORMATION SYSTEMS #Data encryption #Electronic health record #DAS #Bucket Index #Bloom filter
Tipo

Conference Paper