The only proven, responsible way to unlock the value of health data

There is a rapidly growing need to de-identify data to solve some of healthcare’s most challenging problems.

As this need grows, so do concerns over privacy of protected health information (PHI). To address this, organizations must de-identify personal information using a risk-based approach that goes beyond simple masking techniques in order to produce a high quality dataset that meets their specific needs for secondary use like sophisticated research and analytics.

Privacy Analytics allows healthcare organizations to quickly and easily apply a responsible de-identification methodology that ensures individual privacy and legal compliance.

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Leading health care companies and academic and research organizations use Privacy Analytics products and services to produce de-identified data sets for a wide range of secondary purposes.

This includes research, data monetization, product development, marketing and surveillance.

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    Privacy Analytics has enabled the development of a cancer learning health system.

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    Privacy Analytics is assisting in the treatment of HIV through De-Identification of EMR data of HIV+ patients.

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    Privacy Analytics is being used to de-identify data streams from tens of thousands of medical devices before data diagnostics and analysis.

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    Privacy Analytics has de-identified EMR data helping in the analysis and treatment for diseases such as Diabetes and Gout.

With this system, we keep the quality of the data and bring timely and accurate data insights to the healthcare industry without having to put patient privacy at risk.
- Richard Borrelli, Principal of Commercial Effectiveness Services at IMS Brogan

SUCCESS STORY

Read this case study or watch the webinar and discover how Privacy Analytics helped IMS Brogan de-identify millions of electronic medical records.

Webinar Case Study

WHY PRIVACY ANALYTICS?

Proven

Proven

Trusted

Trusted

Experts

Experts

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