Brian Rasquinha, Lauren Groebe, John House
Statistical approaches to de-identifying data, whether HIPAA’s Expert Determination method or other statistical assessments of identifiability, often form the core of an effort to manage identifiability. However, building a project, program, or business function around de-identification isn’t always straightforward. In this panel discussion, we’ll discuss experiences and lessons from standing up data de-identification initiatives from the contrasting perspectives of in-house legal, business leadership, and external privacy solution provider.
Discussion topics will include:
- How to maximize the impact of statistical analysis of identifiability with strong business processes
- Effective strategies for communicating the utility, impacts, and limitations of a statistical analysis of identifiability
- Experiences balancing business needs and privacy constraints when approaching de-identification projects
Brian Rasquinha, Associate Director, Solution Architecture, Privacy Analytics (Moderator)
Lauren Groebe, Associate General Counsel – Privacy, Cybersecurity & Digital, Baxter International
John House, Executive Director, Science and Technology, Premier Applied Sciences
Reading Materials:
