Insights with Anonymized Health Data
Enable Richer Analysis using De-identification
Privacy Analytics completed a survey of healthcare analysts, researchers and privacy professionals on best practices associated with anonymizing data for secondary purposes. The survey results pointed to common management approaches among leading practitioners to govern and anonymize data in their enterprise.
Additionally, the results pointed to an anonymization maturity model that maps out the essential characteristics of leading practitioners, helping to pinpoint a progressive management path to securely accelerate analysis into healthcare outcomes and research.
Hosted by our Director of Analytics, Luk Arbuckle, viewers will gain insight into:
- Growth and challenges of anonymizing data for secondary purposes
- How leading practitioners enable better analytic and business outcomes
- A maturity model that illustrates a progression path to leveraging data for secondary purposes securely in repeatable and scalable way.