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Data Driven Medical Process Modelling for Privacy Protection in Care Pathways

Authors:
Intidhar Essefi
Hanene Boussi Rahmouni
Mohamed Fethi Ladeb

Keywords: business process modelling; clinical pathways; data driven; ‎HIPAA legislation; patient privacy; privacy requirements‎

Abstract:
In this article, we present a clinical pathway specification ‎methodology for data driven medical process modelling. Our ‎model takes into consideration patients privacy preservation. It ‎gives special attention to shared medical documents structure ‎and content. Furthermore, our model describes the different ‎clinical tasks, typically included in hospitals care pathways. It ‎also exposes the underlying shared patient data enclosed ‎within the medical documents required by the clinical pathway ‎subject to execution. This research aims first of all to identify, ‎for each clinical task that requires data processing or sharing, ‎the level of protection that data requires. For this, we suggest to ‎extend existing business process modelling languages with ‎special means highlighting medical data. As a second step, we ‎aim to map each extracted data category to a set of privacy ‎requirements as demanded by the Health Insurance and ‎Accountability Act (HIPAA) legislation. This will ensure the ‎respect of data protection requirements since a very early stage ‎of Hospital Information Systems (HIS) design. ‎

Pages: 24 to 31

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-682-8

Location: Athens, Greece

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