Unlock the Five Safes and Maximize your Data
Get the most out of your data without compromising compliance and patient confidentiality. Learn how our Five Safes framework can help you develop a robust de-identification strategy.
A data privacy strategy devised for the future means you’ll be able to take advantage of opportunities as they come along, all the while remaining confident that the individuals in your data set are anonymous.
To achieve a more seamless adherence to the new regulation, it is best to create privacy-centric policies and procedures around sensitive data storage and sharing. Robust, risk-based anonymization protocols are an integral part of any adherence plan.
Read our whitepaper and learn how to leverage sensitive data safely.
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.