Niamh McGuinness, PhD
Director, Clinical Trial Transparency
Kick-Start Your Clinical Trial Document Anonymization
In this brief webinar, Niamh McGuinness, Senior CTT Analyst, will be showcasing Privacy Analytics’ new Kick-Start service offer for clinical trial document anonymization, which allows you to quickly apply our proven statistical method to your clinical study reports, without having to commit for the long-term.
Learn how your organization can benefit from:
Statistical anonymization has never been this accessible.
Special Service Offer: Kick-Start Your Clinical Trial Document Anonymization
In this brief webinar, Niamh McGuinness, Senior CTT Analyst, will be showcasing Privacy Analytics’ new Kick-Start service offer for clinical trial document anonymization, which allows you to quickly apply our proven statistical method to your clinical study reports, without having to commit for the long-term.
Learn how your organization can benefit from:
Statistical anonymization has never been this accessible.
Special Service Offer: Kick-Start Your Clinical Trial Document Anonymization
Niamh McGuinness is an expert in clinical trial document submissions and a senior member of the Privacy Analytics team, focused on Clinical Trial Transparency (CTT). She has personally managed many successful projects, with documents representing hundreds of clinical trials. Under her watch, no client has ever missed a regulatory submission deadline or a deadline to make their trial data publicly available.
Niamh’s team works with a variety of clinical trial sponsors that have turned to Privacy Analytics to meet the stringent requirements of regulations such as EMA Policy 0070, Health Canada Public Release of Clinical Information (PRCI), and EU CTR.
Niamh McGuinness, PhD
Director, Clinical Trial Transparency
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.