Niamh McGuinness, PhD
Associate Director, Safety, Regulatory & Transparency
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Can you Achieve Trustworthiness Through Transparency?
April 15, 2020
In this presentation Vivli and Privacy Analytics discuss on how both organizations help data contributors share their data securely while protecting patients’ privacy. The webinar explores the different approaches to anonymization and the value of a risk-based, quantitative anonymization approach. Learn the importance of building communities that advance scientific research and creating trustworthiness through transparency.
Key topics include:
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
Associate Director, Safety, Regulatory & Transparency
Rebecca Li, PhD, is the Executive Director of Vivli and on faculty at the Center for Bioethics at the Harvard Medical School. Previous to her current role she was the Executive Director of the MRCT Center of Brigham and Women’s Hospital and Harvard for over 5 years and remains a Senior Advisor at the Center. She has over 25 years of experience spanning the entire drug development process with experience in Biotech, Pharma and CRO environments. She completed a Fellowship in 2013 in the Division of Medical Ethics at Harvard Medical School. She earned her PhD in Chemical and Biomolecular Engineering from Johns Hopkins University.
Rebecca Li, Ph. D.
Executive Director of Vivli
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.