De-Identification: Practice and Policy
Date and time
Location
EY
560 Mission Street #1600 San Francisco, CA 94105Description
Join Future of Privacy, EY, and Privacy Analytics for a forum titled De-Identification: Practice and Policy. This half-day forum will include panel discussions on topics such as common uses of de-identification, implementation and best practices, and case studies. We encourage audience participation and knowledge sharing.
Check-In opens at 12:30pm. The program begins promptly at 1:00pm.
The Program:
Welcome and Introduction
Panel 1: Law, Self-Regulation, and Standards
This panel discusses the regulatory, operational, and technical frameworks guiding de-identification practices today, including perspectives on the evolving definition of personally identifiable information in the US and under the EU GDPR, the development of self-regulatory mechanisms, and domestic and international standard-setting efforts
(such as HITRUST and ISO).
Panel 2: Sector-Specific Case Studies
This panel discusses practical considerations and critical issues when implementing de-identification practices, including real world examples from a diverse range of industries.
Panel 3: The Seven States of Data: When is Pseudonymous Data Not Personal Information? and Shades of Grey: Seeing the Full Spectrum of Practical Data De-Indentification
This session reviews two new papers which seek to help policymakers understand the spectrum of personal data and de-identification.
Closing and Group Discussion
Please join us for a reception sponsored by Privacy Analytics following the forum at Roys Restaurant, located across the street from the EY office at 575 Mission Street.
The program is co-hosted by:
Organized by
About Future of Privacy ForumThe Future of Privacy Forum (FPF) is a Washington, DC based think tank that seeks to advance responsible data practices. Led by Internet privacy experts Jules Polonetsky and Christopher Wolf, FPF advances the privacy dialogue with privacy advocates, industry leaders, regulators, legislators, and international representatives in effort to advance consumer friendly and business practical privacy measures.
About Privacy AnalyticsPrivacy Analytics is the trusted, proven way to unlock protected health information.
There is a rapidly growing need to de-identify data to solve some of healthcare’s most challenging problems. As this need grows, so do concerns over privacy of protected health information (PHI). To address this, organizations must de-identify personal information using a risk-based approach that goes beyond simple masking techniques in order to produce a high quality dataset that meets their specific needs for secondary use like sophisticated research and analytics.
Privacy Analytics allows healthcare organizations to quickly and easily apply a responsible de-identification methodology that ensures individual privacy and legal compliance.
Leading health care companies and academic and research organizations use Privacy Analytics products and services to produce de-identified data sets for a wide range of secondary purposes. This includes research, data monetization, product development, marketing and surveillance. For more information, please visit: http://www.privacy-analytics.com/