Niamh McGuinness
Senior Manager of Clinical Trial Transparency and Privacy
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Kick-Start Your Clinical Trial Document Anonymization
Date of Event: February 18, 2021
Location: Virtual Event
Thursday, February 18, 2021: 2pm ET / 7pm GMT (30 mins.)
In this brief webinar, Niamh McGuinness, Senior CTT Analyst, will be showcasing Privacy Analytics’ new 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.
You’ll get a full walk-through of our new Kick-Start service, as well as a chance to ask Niamh any questions you might have about anonymizing clinical trial documents.
Learn how your organization can benefit from:
Statistical anonymization has never been this accessible.
Event registration is now closed.
Niamh McGuinness is a technical lead with Privacy Analytics’ Clinical Trial Transparency (CTT) business unit. Her team works with a variety of clinical trial sponsors that have turned to us to meet the stringent requirements of regulations such as EMA Policy 0070 and Health Canada Public Release of Clinical Information (PRCI). Drawing on her academic research background, Niamh has helped develop Privacy Analytics’ CTT methodology and our proprietary toolsets.
Niamh McGuinness
Senior Manager of Clinical Trial Transparency and Privacy
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.