Unleashing the Power of Clinical Trial Data
Data leaders and transparency leaders in the pharma industry are increasingly embracing a digital shift in which clinical trial data is reused for new benefits, including future trial design. As the industry tackles the cost of R&D and strives for innovation, bringing new life to clinical trial data is increasingly relevant. As data are reused for new benefits beyond a single trial, cultural, policy, and privacy challenges must be addressed alongside technological advancements in making data findable, accessible, interoperable, and reusable (FAIR).
This webinar explores how the industry is shifting and what it could mean for your data strategy. Special emphasis was placed on how Novartis is transforming medicine with 2 million patient years of data.
At the conclusion of this webinar, participants should be able to understand:
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.