Method and Experiences of Risk-Based De-identification of Health Information

Date: Aired both April 14, 2010 and May 12th 2010

Abstract: In this webinar we will walk through two case studies of de-identifying a data set. The first case study is when the analyst needs to make a re-identification risk assessment before any data is collected. A typical real-world scenario is when a research ethics board needs to decide if the data to be collected in a research protocol is de-identified or not. The case study will explain how to use existing tools to make such a determination. The second case study is for an actual data set that has been collected and will be disclosed for secondary purposes. A detailed risk assessment of this data set is performed and the recommended de-identification is made. Both case studies illustrate the steps that a data custodian would go through to perform risk assessments and negotiate data disclosures with requestors.

Speaker: Khaled El Emam, CHEO Research Institute

Biography: Khaled is an Associate Professor at the University of Ottawa, Faculty of Medicine and the School of Information Technology and Engineering, a senior investigator at the Children’s Hospital of Eastern Ontario Research Institute, and a Canada Research Chair in Electronic Health Information at the University of Ottawa. His main area of research is developing techniques for health data anonymization. Previously Khaled was a Senior Research Officer at the National Research Council of Canada, and prior to that he was head of the Quantitative Methods Group at the Fraunhofer Institute in Kaiserslautern, Germany. He has (co)-founded two companies to commercialize the results of his research work. In 2003 and 2004, he was ranked as the top systems and software engineering scholar worldwide by the Journal of Systems and Software based on his research on measurement and quality evaluation and improvement, and ranked second in 2002 and 2005. He holds a Ph.D. from the Department of Electrical and Electronics, King’s College, at the University of London (UK).

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