How a Top 20 Pharma saved ~$10M with innovative study design
A global pharma company received FDA approval for a drug to treat a chronic disease. With uptake falling short of expectations, the client wanted to publish a comparative study between the new treatment and existing alternatives.
However, enrolling patients during the pandemic with regular follow-ups was challenging and costly.
The client’s innovative study design introduced complex privacy and contractual challenges. With Privacy Analytics’ help, they were able to implement this study design with auditable proof of privacy protection, saving 35% of the cost of a traditional study (~$10M).
Read the case study to find out how.
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.
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