Transparency Efficiency Optimization

Achieve transparency at scale

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The Problem
The Solution
How We Can Help

Share clinical data and documents. Quickly, affordably and safely.

Regulatory deadlines have gotten tighter. Deadlines to deliver data requests are getting more stringent. This means you not only need to anonymize a high volume of documents and data. You also need to do it safely, quickly, cost-effectively, and at scale.

Feeling the pressure?

Get high efficiency and protect privacy at-scale: anonymization backed by statistical proof.

With both regulators and the industry moving unswervingly to defensible anonymization, redaction is going the way of the horse-and-buggy. Privacy Analytics solutions, by contrast, give you high-performance anonymization at scale, with statistical proof of compliance and privacy protection.

Client Success

Story 1:
Data

  • 100+ compliant datasets delivered in just 7 months
  • 22% cost-savings realized from process efficiency
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Story 2:
Documents

  • 90+ clinical study reports anonymized
  • 100% of dossiers delivered on time
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Story 3:
Combined

  • Increased data-sharing throughput to over 35 studies per month, each comprised of structured data and a clinical study report document
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Feeling the pressure of meeting tight timelines and protecting privacy?

Anonymization as
a Service

Get efficient, reliable services to anonymize your documents and data. You’ll drive data value while meeting regulatory requirements within deadlines.

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Privacy Analytics
Platform

Get efficient anonymization of clinical trial data and documents to satisfy both internal analytics and external data sharing needs.

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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.

Read the full story >

Evaluating

Are you achieving intended outcomes from data?

Your Challenge

Do you need help...

  • 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.

Read the full story >

Accessing

Do the right people have the right data?

Your Challenges

Do you need help...

  • 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.

 

See the full story >

Maintaining

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.

 

Visit ASCOPubs.org to read the full story >

Acquiring / Collecting

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

Your Challenge

Do you need help...

  • Ensuring the acquisition / collection of the right data under the appropriate consent / contracts to maintain corporate integrity?

OUR SOLUTIONS

Consent / Contracting strategy

  • Developing a consent / contractual framework for collecting / sourcing.
  • Creating a comms strategy for internal / external stakeholders.
  • Ingesting and transforming data safely to earn trust.

Client Success

Client: IQVIA

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

 

Read the full story >

Planning

Are You Effectively Planning for Success?

Your Challenges

Do you need help...

  • 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.

 

Visit Nuance.com to read the full story >

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