Home // CLOUD COMPUTING 2018, The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization // View article

Data Analysis Techniques to Visualise Accesses to Patient Records in Healthcare Infrastructures

Authors:
Aaron Boddy
William Hurst
Michael Mackay
Abdennour El Rhalibi
Mutinta Mwansa

Keywords: Electronic Patient Records; Patient Privacy; Information Security; Data Analysis; Visualisation; Healthcare Infrastructures; Cloud Computing.

Abstract:
Access to Electronic Patient Record (EPR) data is audited heavily within healthcare infrastructures. However, it is often left untouched in a data silo and only accessed on an ad hoc basis. Users with access to the EPR infrastructure are able to access the data of almost any patient without reprimand. Very Important Patients (VIPs) are an exception, for which the audit logs are regularly monitored. Otherwise, only if an official complaint is logged by a patient are audit logs reviewed. Data behaviour within healthcare infrastructures needs proactive monitoring for malicious, erratic or unusual activity. In addition, external threats, such as phishing or social engineering techniques to acquire a clinician’s logon credentials, need to be identified. This paper presents research towards a system which uses data analysis and visualisation techniques deployed in a cloud setting. The system adds to the defence-in-depth of the healthcare infrastructures by understanding patterns of data for profiling users’ behaviour to enable the detection and visualisation of anomalous activities. The results demonstrate the potential of visualising accesses to patient records for the situational awareness of patient privacy officers within healthcare infrastructures.

Pages: 65 to 70

Copyright: Copyright (c) IARIA, 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-607-1

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018