Managing Privacy: The Imperative RWE Capability
Leveraging real-world evidence (RWE) solutions are essential to driving new insights in healthcare. RWE success requires granular patient-level data. Balancing use while maintaining strict compliance with privacy and regulatory standards is a serious challenge for healthcare organizations looking to develop RWE capabilities. As privacy compliance standards are changing frequently, healthcare organizations need to be confident in their privacy practices when leveraging PHI for secondary uses.
This IQVIA/Privacy Analytics white paper on managing privacy for real-world evidence can keep you current and help build an effective privacy governance framework while achieving more useful, faster insights. Written by Dr. Ben Hughes and Dr. Khaled El Emam, this white paper addresses:
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 ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
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.