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.
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.
Privacy Analytics has enabled the development of a cancer learning health system.
Privacy Analytics is assisting in the treatment of HIV through De-Identification of EMR data of HIV+ patients.
Privacy Analytics is being used to de-identify data streams from tens of thousands of medical devices before data diagnostics and analysis.
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