Anders Landberg is a PhD candidate at the Department of Computer Science and Computer Engineering LaTrobe University and is supervised by Assoc. Prof Wenny Rahayu and Dr. Eric Pardede. His research areas include XML triggers, privacy and access control for XML, and data warehousing.
Heather Grain
Llewelyn Grain Informatics Australia
Heather Grain is a Fellow of the Australian College of Health Informatics. She has worked on health care information system developments at hospitals, in the community, district nursing and on national initiatives such as patient identification. She designed and led the health informatics program at La Trobe University, including the China Health Program, and brings a strong standards background through her positions as Chair of Standards Australia’s Health Informatics Committee (IT14) and internationally as Convenor of the International Standards Development working group on Health Informatics Semantic Content and co-chair of HL7 Vocabulary Technical Committee.
J Wenny Rahayu
La Trobe University Australia
Wenny Rahayu is an Associate Professor at the Department of Computer Science and Computer Engineering LaTrobe University. Her research areas cover a wide range of advanced databases topics including XML Databases and Data Warehousing, Object-Relational Databases, and Semantic Web and Ontology. She is currently the Head of Data Engineering and Knowledge Management Laboratory at La Trobe University.
Eric Pardede
La Trobe University Australia
Eric Pardede is a Lecturer at the Department of Computer Science and Computer Engineering LaTrobe University. His current research areas include Data Modeling, XML Databases, Data Quality, Information Systems and Software Engineering.
Incorporating Privacy Support into Clinical Data Warehouses
Anders H Landberg, Heather Grain, J Wenny Rahayu, Eric Pardede
Abstract
This paper presents an analysis and implementation of a clinical data warehouse. It focuses on the nature of health data and points out implications that arise when warehousing this data. Especially concerns in regards to data privacy and authentication, data completeness and quality are addressed. First, we explore privacy preserving methods and propose a query-time validation scheme that protects against privacy disclosure caused by combining data attributes. To enforce the access control, we propose a novel concept of composite security levels. Second, we introduce techniques and methods to overcome these issues, and suggest strategies for practical implementation. Finally, we introduce the system prototype that was developed during this project, and explain and illustrate, how these techniques and methods were applied in practice with emergency data.
Keywords
Data Privacy; Data Linkage; Electronic Health Records; Data Analysis