Anatomy of log files: Implications for information accountability measures

Wickramage, Chathurika, Sahama, Tony, & Fidge, Colin (2016) Anatomy of log files: Implications for information accountability measures. In Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom 2016), IEEE, Munich, Germany, pp. 43-48.

[img] PDF (498kB)
Administrators only | Request a copy from author

View at publisher


Due to the growing use of digital technologies and Electronic Health Record systems, new auditing mechanisms are needed to help protect stakeholders from information misuse, both deliberate and accidental. Electronic storage of health records and use of sensor networks, wearable and ubiquitous health tracking devices raise numerous privacy related threats for both healthcare providers and their patients. A purely preventive approach to information access is not appropriate in healthcare scenarios, especially during emergencies, so after-the-fact justifications are needed to manage information handling risks in such an environment. To allow such justifications we need to analyse the root causes for unusual human actions or behaviours but current system event logs are inadequate for this purpose. Hence, a better solution would be to generate audit logs sufficient for analysing information use anomalies. Here we explain the limitations of existing event logs in clinical settings when attempting to perform after-the-fact justifications as part of a clinical Information Accountability system. From this we recommend additional features that must be added to event logs to support a healthcare-based Information Accountability Framework.

Impact and interest:

0 citations in Scopus
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: 98772
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: After-the-facts, CDSS, eHealth, Information Accountability, Log Files
DOI: 10.1109/HealthCom.2016.7749426
ISBN: 978-1-5090-3371-3
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 IEEE
Deposited On: 11 Sep 2016 22:55
Last Modified: 03 Jul 2017 17:15

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page