Date: May 29th 2012 from Noon to 1pm EST
Abstract: Organizations are sitting on large amounts of valuable health data – whether they are healthcare providers, health IT developers, insurers, or claims processors. The value in this data can be unlocked to improve efficiencies and to create new business opportunities if it can be used and disclosed. The HIPAA Privacy Rule provides mechanisms for using and disclosing health data responsibly without the need for patient authorization. These mechanisms center around the HIPAA de-identification standards. In this webinar we will describe how to de-identify health data in a defensible way according to the HIPAA standards. You will:
- Find out how leading healthcare organizations are leveraging their data
- Understand how the HIPAA Privacy Rule de-identification standards can be operationalized
- Learn through case studies how data sets can be de-identified and disclosed, and how they can still retain significant utility
Speaker: Dr. Khaled El Emam
Biography: Dr. Khaled El Emam is an Associate Professor at the University of Ottawa, Faculty of Medicine, 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 and secure disease surveillance for public health purposes. 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).
Visit Privacy Analytics for more about de-identification solutions.