Case Studies

Breaking down data siloes to help save lives

Discover how DNDi partnered with Privacy Analytics to anonymize clinical trial data, ensuring patient privacy while advancing research on neglected diseases.

Groundbreaking approach to patient privacy protection fuels expansion of medical device business line

Privacy Analytics aids W. L. Gore & Associates Inc in securing regulatory approval for medical device studies using innovative synthetic data to ensure patient privacy.

TB Alliance accelerates advances in patient health by sharing clinical trial data responsibly

Tuberculosis (TB) is the 13th leading cause of death globally, even though it is both preventable and curable...

Cosmos: A model for advancing research while protecting patient privacy

Cosmos, one of the world’s largest community collaborations in the healthcare ecosystem, is used by health systems to facilitate research...

How Fresenius Medical Care used Privacy Analytics for 25X faster insights to help kidney disease patients

Fresenius Medical Care, the leading provider of products and services treating end-stage kidney disease, has created the world’s largest longitudinal database of clinical dialysis information.

Maximizing the value of clinical data on neglected patients

The Drugs for Neglected Diseases initiative (DNDi) has a unique mission: to use an alternative model to develop drugs for neglected diseases...

Zephyr AI benefits from Eclipse software to support machine learning

Zephyr AI is a small, high-growth company with big ambitions. One of their aims is to predict adverse health outcomes...

Nuance makes organizations more effective while protecting privacy

Nuance Communications provides AI solutions that understand and respond to human language, making it easier for people to connect...

IQVIA builds privacy protection into its processes to serve pharma clients

IQVIA is a leading global provider of advanced analytics, technology solutions, and contract research services to the life sciences industry.

Privacy Analytics enables predictive models for improved renal patient care

Kidney disease affects hundreds of millions of people worldwide. Healthcare providers are challenged to deliver the best program of care...

De-identified data fuels AI-driven drug differentiation

Global pharma company consolidating large volumes of patient data into a diverse data platform.

Integrate.ai improves the customer experience with privacy-preserving AI

Integrate.ai operates an AI-powered consumer intelligence technology called the Trusted Signals Platform (TSP), which helps its clients better understand how website visitors behave.

Sharing Data with a Partner for Product Improvements, R&D, and Product Differentiation

As a distributor of a medical device produced by a partner company, this large company creates a report each time the device is used for a medical procedure.

Safely Using Image Data to Improve AI Algorithms

A medical device company produces software that uses AI to derive diagnoses from medical images. The medical image data comprises X-ray image files.

Clinical trial document anonymization

A large, global pharmaceutical sponsor faced tight deadlines to deliver a portfolio comprised of over 450 clinical trial documents...

Anonymized clinical trial data and documents

A large, global pharmaceutical sponsor needed to safely share a higher volume of clinical trial data and documents to achieve multiple goals.

Clinical trial data anonymization

A large, global pharmaceutical sponsor needed to scale its data sharing as part of its effort to drive greater advancements in patient health.

Ontario Cancer Data Linkage Program

The Ontario Cancer Data Linkage Program called – cd-link – is an initiative of the Ontario Institute for Cancer Research and the Cancer Care Ontario Health Services Research Program.

State of Louisiana

Recognizing the need for better health outcomes, the State of Louisiana is rethinking and looking for new ways to deliver healthcare services...

IMS Brogan

There is an understanding among healthcare industry professionals that improvement in how we approach healthcare requires better knowledge,...

Sanofi

This case study describes a de-identification project conducted with Sanofi Pasteur and Sanofi to de-identify a vaccine clinical trial dataset using the Privacy Analytics methodology and software,

Better Outcomes Registry & Network: Enabling Better Health Care Outcomes for Mothers and Infants

Health researchers and decision-makers understand that comprehensive data is needed to help inform research,...

ASCO CancerLinq

Oncologists and other health professionals understand that improving how we approach cancer care requires better knowledge.

Canadian Primary Care Sentinel Surveillance Network

Health practitioners and researchers understand that greater knowledge is needed to help chronic disease surveillance, research for primary care and practice quality improvement.

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