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.
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Trust Privacy Analytics with your
trial transparency.
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8/10
8 of the top 10 global pharma companies listed on PharmExec’s Top 50 have trusted Privacy Analytics services.
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80%* of the dossiers published by EMA that used a statistical method were anonymized by Privacy Analytics. *as of June 2020
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35 /
month
Increased a client’s data-sharing throughput to over 35 studies per month, each comprised of both documents and data.
Archiving / Destroying
Are you unleashing the full value of data you retain?
Your Challenges
Do you need help...
Unleashing the full value of retained data so they can be put to work safely and responsibly in line with privacy regulation?
Defining and implementing effective archival and disposal processes for personal data?
OUR SOLUTION
Value Retention
Retain the business value in your data through anonymization.
Ensure compliance in your retention & destruction strategy.
Maximize the reuse of information by removing what is personal.
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.
Optimizing the use / analysis of data to achieve your organization’s intended outcomes with measured success?
OUR SOLUTION
Unbiased Results
Reduce / minimize risk of bias in your data for machine learning.
Ensure transparency, fairness, and AI ethics / compliance.
Ensure data ethics & compliance in your data models and 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.
Ensuring the right people have access to the right data at the right times?
OUR SOLUTION
Usable and Reusable Data
Enable internal access and / or external sharing of data for primary and / or secondary uses.
Ensure data are useful and reusable in alignment with FAIR principles.
Ensure data have the right level of privacy protection for the use.
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...
Maintaining / processing data securely and efficiently to promote data enablement with auditable proof of compliance?
OUR SOLUTION
Security / compliance efficiency
Creating synthetic versions of data to be used for innovation / AIML.
Applying data minimization principles to reduce your risk exposure.
Transforming your data for secondary uses and access.
CLIENT SUCCESS
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.
Defining a clear data strategy to achieve desired outcomes?
Getting it right at the start to avoid costly privacy missteps later?
OUR SOLUTION
Build privacy in by design
Building privacy into your data plan / platform / pipeline upfront.
Establishing a trusted data strategy (ethics, compliance, privacy).
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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