Are you utilizing patient data to its full potential?

Are you utilizing patient data to its full potential?

A Privacy Analytics and Linguamatics Webinar

About this webinar

While structured data is now commonly deidentified and used for a multitude of purposes, it’s only part of the story. Approximately 80% of patient data is unstructured. Important knowledge – such as why patients are improving, or worsening – is often hidden away in unstructured text, requiring natural language processing (NLP) to help extract it. Commercialization of both structured and unstructured data is possible while not distracting from a primary concern – maintaining a layer of protection for your patients.

Seemingly marginal insights captured in de-identified patient data can end up being highly significant, driving medical device innovation and greater advances in patient health (even outside the clinical trial setting).

Join IQVIA’s Linguamatics and Privacy Analytics teams, live, as we discuss:

  • Why relying on structured data alone isn’t enough
  • How a unified solution (NLP + De-identification) helps you safely extract and share more, better data
  • Success stories from organizations that use both types of data
  • How to bring the whole story together and commercialize on your data efforts

Presenter(s)

No data was found

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: 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...

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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