Designing for Privacy Compliance and Performance Management in Health Care
Hospitals aim to improve quality of care and ensure cost effectiveness in the health care services they provide. To achieve these goals, hospitals are increasingly building data warehouses where they collect data related to their business processes in order to monitor and analyze their processes for providing health care. However, such data often includes information of a sensitive nature which means that the design of access mechanisms and interfaces must comply with ethical guidelines and privacy legislation. Indeed, to protect privacy and confidentiality, various legislations and laws have been established which hospitals have to comply with. This paper describes a case study at a large teaching hospital in which a systematic approach to designing on-line access to data warehouses has been investigated and prototyped that addresses the issues of both privacy compliance and effective performance management. The design approach leverages explicitly modeled links to legal documentation, business processes, and dimensionally modeled data marts from within a framework of requirements models built using User Requirements Notation (URN). Preliminary results from the case study indicate that the approach shows promise for integrating privacy compliance and performance management into the design of health care systems.
||Health Care, Privacy Compliance, Performance Management, Requirements Engineering, Business Process, PHIPA, URN, GRL, UCM
Design Principles and Practices: An International Journal, Volume 1, Issue 3, pp.13-26.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.364MB).
Assistant Professor, School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada
Liam Peyton, PhD, P.Eng., is the principal investigator for the Intelligent Data Warehouse laboratory at the University of Ottawa. He is an active researcher in business process modeling, performance management, privacy and distributed data mining especially as applied to health care. His current focus is the securing, monitoring and enabling of data sharing within business to business networks based on model-driven, service oriented architecture in compliance with government regulations. He is a member of: Liberty Alliance Project, Ontario Research Network for Electronic Commerce, Healthcare Data Warehousing Association, Text Analysis and Machine Learning Group, and Communications Software Engineering Research Group. He has 10 years experience as an industry consultant before joining the faculty at the University of Ottawa. He has degrees from Aalborg Universitet (Ph.D. 1996), Stanford University (M.Sc. 1989), and McGill Unviersity (B.Sc. 1984).
Research Assistant, School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada
Sepideh Ghanavati is a research assistant at the University of Ottawa. Her research interests are in requirements engineering, business process modelling, and privacy. She has an M.Sc. in System Science from the University of Ottawa (2007) and a B.Sc. in Industrial Engineering from Amirkabir University of Technology (2003).
Associate Professor, School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada
Daniel Amyot is Associate Professor at the University of Ottawa, which he joined in 2002 after working for Mitel Networks as a senior researcher in software engineering. His research interests include scenario-based software engineering, requirements engineering, business process modelling, aspect-oriented modeling, and feature interactions in emerging applications. Daniel is Rapporteur for requirements languages at the International Telecommunication Union, where he leads the development of the User Requirements Notation. He has a Ph.D. and a M.Sc. from the University of Ottawa (2001 and 1994), as well as a B.Sc. from Laval University (1992). He is also the father of three energetic children.
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