Meet your clinical trial transparency deadlines (Case Study)

Meet your clinical trial
transparency deadlines.

Quickly. Safely. Affordably.

Anonymize your data and documents.

Regulatory deadlines to submit clinical trial documents have gotten tighter. At the same time, requests for trial data must be fulfilled in short order to avoid a backlog. You need to quickly and safely anonymize a high volume of documents and data.

Feeling the pressure? We can help.

Privacy Analytics’ health data experts use our statistical, risk-based methodology, in conjunction with our proprietary software, to safely anonymize your trial data and documents. This powerful Anonymization-as-a-Service solution balances transparency and privacy – affordably and at scale.

Key benefits to our approach:

  • Save Time & Money: Rapidly initiate or expand clinical trial transparency initiatives with minimal up-front investment.
  • Drive Value: Safely turn trial data and documents into powerful assets in fostering transparency and health innovation.
  • Defensible Results: Get auditable proof your company has taken the right steps to protect privacy.

Read our case study:

We provided an end-to-end anonymization solution for a global drug manufacturer, delivering over 100 compliant datasets in just 7 months and increasing their data-sharing throughput to over 35 per month.

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8 of the top 10 global pharma companies listed on PharmExec’s Top 50 have trusted Privacy Analytics services.


80%* of the dossiers published by EMA that used a statistical method were anonymized by Privacy Analytics.
*as of June 2020


35 /

Increased a client’s data-sharing throughput to over 35 studies per month, each comprised of both documents and data.
(Read the case study)

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...


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.


Are you achieving intended outcomes from data?

Your Challenge

Do you need help...


Unbiased Results

Client Success


Situation:’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.


Do the right people have the right data?

Your Challenges

Do you need help...


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.



Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...


Security / compliance efficiency


Client: ASCO’s CancerLinQ

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.


Acquiring / Collecting

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

Your Challenge

Do you need help...


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. 



Are You Effectively Planning for Success?

Your Challenges

Do you need help...


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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