title: Data encryptions techniques for electronic health record exchange.
abstract: Simulation approaches on data encryption techniques to improve health care decision making processes are presented in this paper. Database-as-a-Service model (DAS) was utilised to employ the databases and related records for the scenarios selected. Data that was used for the simulation process ranged from 10,000 to 2 million records. When the bucket indexing model incorporated partitioning fields and bloom filters in a Singleton design pattern, it effectively provided faster responses in the range query. The results showed that query response time in the bucket indexing model is approximately 3.32 times faster than the normal range query response time in the encrypted database.
authors.affiliation: Computer Science Discipline, Faculty of Science and Technology (FaST), Queensland University of Technology (QUT), PO Box 2434, Brisbane 4001, QLD, Australia.
authors.forename: David
authors.initials: D
authors.lastname: Shin
authors.forename: Tony
authors.initials: T
authors.lastname: Sahama
authors.forename: Steve Jung Tae
authors.initials: SJ
authors.lastname: Kim
authors.forename: Ji-Hong
authors.initials: JH
authors.lastname: Kim
mesh_terms: D016494:Computer Security; D057286:Electronic Health Records / Q000458:organization & administration*; D008498:Medical Record Linkage