Privacy Analytics > Resources > Webinars > Using AI-Based Technology to Accelerate Clinical Trial Data Sharing & Reuses
Using AI-Based Technology to Accelerate Clinical Trial Data Sharing & Reuses
The healthcare industry generates 30% of the world’s data volume, with phase 3 clinical trials generating ~3.6 million data points on average. This means clinical trial sponsors are uniquely positioned to lead when it comes to safely using sensitive data to transform innovation and human achievement.
Data anonymization is key to unlocking the value of sensitive data for sharing and secondary uses. But concerns around the loss of data utility, lack of scalability, and regulatory compliance unnecessarily hold many data leaders back from realizing their full potential.
In this webinar, Thomasin Element, Head of Technology Customer Success and Partnerships at Privacy Analytics, walks you through the benefits of statistical anonymization, its superiority over redaction, and the 5 ways AI can help you accelerate data sharing and reuse.
The healthcare industry generates 30% of the world’s data volume, with phase 3 clinical trials generating ~3.6 million data points on average. This means clinical trial sponsors are uniquely positioned to lead when it comes to safely using sensitive data to transform innovation and human achievement.
Data anonymization is key to unlocking the value of sensitive data for sharing and secondary uses. But concerns around the loss of data utility, lack of scalability, and regulatory compliance unnecessarily hold many data leaders back from realizing their full potential.
In this webinar, Thomasin Element, Head of Technology Customer Success and Partnerships at Privacy Analytics, walks you through the benefits of statistical anonymization, its superiority over redaction, and the 5 ways AI can help you accelerate data sharing and reuse.
Thomasin Element is a professional services manager, with experience spanning both business and technology, and expertise in data analytics, privacy, enterprise architecture, business analysis, software development, systems integration, IT strategy, project and product management, quality assurance, business intelligence and enterprise risk management. Thomasin’s education is in engineering, providing her with a unique skill set that leverages her technical background to inform business recommendations.
Thomasin Element
Head of Technology Customer Success and Partnerships
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.