According to an article in IAPP’s Privacy Perspectives online magazine, one of the main barriers to ensuring that patient privacy is protected is the lack of a sufficient number of trained and certified de-identification experts.
HITRUST’s new, in-depth Data De-Identification Methodology certification program is a great way for industry professionals to begin validating their current skills and improving their career marketability.
The HITRUST Data De-Identification Methodology course helps ensure security, privacy, legal, compliance, IT, data science and other professionals have the knowledge and skills needed to provide oversight for, or otherwise evaluate/assess, an organization’s data de-identification program to help manage risks associated with the use and disclosure of de-identified data sets for secondary purposes. This applies whether data is being shared internally within the organization or externally to third parties.
The next 2-day class takes place May 1-2, 2017.
The Data De-Identification Methodology course includes instruction on the HITRUST De-Identification Framework and generally accepted de-identification methods and tools. It also helps ensure statistical, mathematical and other scientific professionals have the knowledge and skills necessary to perform data de-identification.
Major topical areas of the course include:
- Background & scope of data de-identification
- De-identification concepts and related definitions
- Re-identification risk measurement and related concepts
- Analysis of contextual risk for de-identified datasets
- Data masking & de-identification
- Risk management & reporting
The course is delivered in two parts. Registered students are given access to online materials prior to the course start date and are expected to have read the materials prior to arriving at the HITRUST Academy training center in Frisco, TX. The remaining material is delivered by an instructor in a classroom setting.