Resources

Resources

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Events

Date of Event: February 25, 2025

Obaraboye Olude, Privacy Analytics’ Senior Clinical Trial Transparency Advisor and Manager will be presenting with Craig Tipple, Medical Director at DNDi on February 25 (1:30pm - 2:15pm ET). CASE STUDY: Balancing Data Sharing and Privacy in Neglected Tropical Disease Research.

Webinars

Date of Webinar: November 7, 2024

Join Abby McDonell, Sr. Program Manager with IQVIA’s Clinical Trial Transparency Team (powered by Privacy Analytics), to gain actionable insights on optimising your medical writing processes to simplify downstream disclosure and transparency initiatives while ensuring participant and commercial data privacy remains protected.

Events

Date of Event: November 7, 2024

Abby McDonell, Privacy Analytics’ Senior Program and Project Manager, Clinical Trial Transparency, will be presenting at the Conference on Thursday, November 7 (10:00am–10:30am CET)

Events

Date of Event: October 24, 2024

Santa Borel, Associate Director, Data Privacy Solutions at Privacy Analytics will be moderating a panel discussion on Privacy Regulation and Real-World Applications for Generative AI in Healthcare. Guest panelists: Kelly Ko, Vice President, Innovation & Strategic Initiatives, Sharp HealthCare and Jiayan Chen, Partner, McDermott Will & Emery.

Events

Date of Event: September 23, 2024

Privacy Analytics will be exhibiting (booth #419) at IAPP’s Privacy. Security. Risk. Conference September 23-24, 2024 in Los Angeles.

Webinars

Date of Webinar: May 23, 2024

In this webinar, Brian Rasquinha, Associate Director of Solution Architecture at Privacy Analytics dives into tokenization and data de-identification to further your understanding of privacy-preserving data practices.

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Categories

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...

OUR SOLUTION

Value Retention

Client Success

Client: Comcast

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.

Evaluating

Are you achieving intended outcomes from data?

Your Challenge

Do you need help...

OUR SOLUTION

Unbiased Results

Client Success

Client: Integrate.ai

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.

Accessing

Do the right people have the right data?

Your Challenges

Do you need help...

OUR SOLUTION

Usable and Reusable Data

Client Success

Client: Novartis

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.

 

Maintaining

Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...

OUR SOLUTION

Security / compliance efficiency

CLIENT SUCCESS

Client: ASCO’s CancerLinQ

Situation: CancerLinQâ„¢, 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.

 

Acquiring / Collecting

Are you acquiring the right data? Do you have appropriate consent?

Your Challenge

Do you need help...

OUR SOLUTIONS

Consent / Contracting strategy

Client Success

Client: IQVIA

Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR. 

 

Planning

Are You Effectively Planning for Success?

Your Challenges

Do you need help...

OUR SOLUTION

Build privacy in by design

Client Success

Client: Nuance

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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