An evaluation of NoSQL databases for EHR systems

Ercan, Mehmet Zahid and Lane, Michael (2014) An evaluation of NoSQL databases for EHR systems. In: 25th Australasian Conference on Information Systems, 8-10 Dec 2014, Auckland, New Zealand.

[img]
Preview
Text (Published Version)
Ercan_Lane_ACIS2014_PV.pdf

Download (348Kb) | Preview

Abstract

Electronic Health Record (EHR) systems offer significant benefits for healthcare. The improved availability of healthcare information from multiple locations contributes to the accuracy and timeliness of care, and should lead to overall improved quality of healthcare delivery. Practical experience and relevant research demonstrate that there are many technological issues that need to be addressed for modern healthcare systems to be effective in sharing EHRs as the structure and size of the healthcare data have changed considerably over time. Recent literature shows that the emerging NoSQL databases have significant advantages such as easy and automatic scaling, better performance and high availability which address the limitations of relational databases in distributed healthcare systems. In this paper we reviewed EHRs and the key features of NoSQL databases. We then evaluated the suitability of NoSQL databases in meeting the requirements of national EHR systems in sharing EHRs in a distributed system environment.


Statistics for USQ ePrint 26225
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: http://bis2.aut.ac.nz/acis2014/conference-programme.php COPYRIGHT Mehmet Ercan and Michael Lane © 2014. The authors assign to ACIS and educational and non-profit institutions a non-exclusive licence to use this document for personal use and in courses of instruction provided that the article is used in full and this copyright statement is reproduced. The authors also grant a non-exclusive licence to ACIS to publish this document in full in the Conference Papers and Proceedings. Those documents may be published on the World Wide Web, CD-ROM, in printed form, and on mirror sites on the World Wide Web. Any other usage is prohibited without the express permission of the authors.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 16 Feb 2015 08:01
Last Modified: 12 Jun 2017 00:22
Uncontrolled Keywords: NoSQL databases, Electronic Health Record (EHR), healthcare systems, relational databases, distributed systems, ACID, CAP theorem, BASE
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080599 Distributed Computing not elsewhere classified
08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
Socio-Economic Objective: C Society > 92 Health > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/26225

Actions (login required)

View Item Archive Repository Staff Only