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Authors: Khaled El Emam, Luk Arbuckle ...
Authors: Khaled El Emam, Luk Arbuckle
How can health data be released to analysts and app developers who desperately want it? Under current legislation, the use and disclosure of health data for secondary purposes is limited—patients must either consent to have their data used, which is often difficult to get and can lead to bias, or the data needs to be de-identified (there are some exceptions, but we won't address them in this webinar.)
To ensure that end users get data that is anonymized and highly useful, we focus on the HIPAA Privacy Rule De-identification Standard. We've built our risk-based methodology for anonymizing data around the foundation created by HIPAA's Statistical Method. In this webcast we'll share several of the case studies that we've described in our O'Reilly book Anonymizing Health Data, which is devoted to examples of how we anonymized real-world data sets. In almost every case in which we've anonymized data, there have been new and interesting challenges to overcome.
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