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How to Get More Granular Data Analysis by Automating Statistical De-identification
(View webinar by visiting this link: https://vimeo.com/90976799)
Leveraging healthcare data for secondary use can have a positive impact on the efficacy of healthcare service delivery, patient care and population health analysis. And yet, traditional approaches to anonymization limit the ability of statisticians and analysts to gain more granular insight into data sets used for secondary purposes.
Part one of this webinar series examines how organizations can automate statistical de-identification to optimize the application of business intelligence and advanced analytics, enabling more granular-level analysis of anonymized data sets.
Privacy and compliance and data analytic professionals will learn how their organizations can:
Apply risk-based approaches to anonymize data based on situational and governing principles of its use;
Automate statistical de-identification of data sets to maximize the application of business intelligence and predictive software insights; and,
Understand how other organizations have applied statistical de-identification to data with real-world examples and demos.