Anonymization for Analytics
Enable Rich Analytics with Anonymization
Data has become a precious, prized asset for healthcare organizations looking to control costs and improve patient care that can capture and action the considerable insights of big data. Statisticians and analysts are juggling not just the challenges of sifting through the growing volume, variety and velocity of data, but of safeguarding it under stringent regulatory and legal requirements. This white paper, Anonymization for Analytics, will demonstrate that incorporating anonymization into data management and analytic practices, organizations can establish a repeatable process for analysis into their data flows.
Download the white paper to the right.
“Without this technology a lot of research we want to do would grind to a halt.” – Dr. Mark Walker, Scientific Director and Co-director of the BORN Registry
You might also like:
12 Characteristics of a De-Id Methodology
We recently completed a whitepaper on this very same topic that goes into more detail about the criteria for evaluating…
An Optimal Approach to De-Identification
Real de-identification is a risk management exercise We often hear people say de-identification doesn’t work. We hear this so often,…
A Primer on Protecting Health Information
Everything you need to know about PHI and de-identification (but were too afraid to ask) With the growing use of…
Anonymizing Clinical Trial Data in Practice
On October 29, 2015, Privacy Analytics held a side event at the 37th International Privacy Conference in Amsterdam, The Netherlands….