Middleware support for monitoring: Privacy and audit in healthcare applications

Brian Shand*, Jem Rashbass

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Healthcare applications have special needs that are not met by current messaging and workflow systems. This paper presents a framework which allows reliable audit of access to medical records, and also provides privacy protection and logistical monitoring information for assessing the effectiveness of medical automation. This is achieved by extending the messaging middleware semantics to support message monitoring tokens and privacy meta-data, together with distributed logging. The same mechanisms provide support for Workflow Management System (WfMS) integration and workflow monitoring; the rich log structure allows the actual workflow usage to be reconstructed as a Petri Net, with greater accuracy than existing techniques. This enables workflow mining and evolution without compromising the privacy of clinical data.

Original languageEnglish
Pages (from-to)3-4
Number of pages2
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4277 LNCS - I
Publication statusPublished - 2006
Externally publishedYes
EventOTM 2006 Workshops - OTM Confederated International Workshops - Montpellier, France
Duration: 29 Oct 20063 Nov 2006


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