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.
|Number of pages||2|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Volume||4277 LNCS - I|
|Publication status||Published - 2006|
|Event||OTM 2006 Workshops - OTM Confederated International Workshops - Montpellier, France|
Duration: 29 Oct 2006 → 3 Nov 2006