De-Identification 401: De-Identifying Data the Right Way
Critics who question the value of de-identification often overlook the quality of the de-identification process. The issue is not whether there is value in de-identification but whether de-identification has been done properly so that data is truly anonymous. Not all de-identification practices are created equal.
An approach that uses the Expert Determination method, and that requires the expertise of individuals with knowledge of the statistical and scientific principles of de-identification, is the optimal approach. De-identification 401 will walk you through the process for establishing a solid, risk-based methodology.
Not all data de-identifications strategies are created equal. Read this whitepaper to find out how our risk-based Expert Determination methodology makes re-identification nearly impossible.
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.