Blog

Category Archives: De-identification

How to Change HL7 Segment and Field Definitions in Caristix Cloak

By sovita.chander@caristix.com | Published: January 11, 2012
One of our Cloak customers is de-identifying close to 14 GB of clinical data coming from several healthcare information systems (including 2 ADTs and a lab system) at an IDN. This customer is asking some great questions that would help other Cloak users get more out of the software. Here’s an excerpt from our conversations. [...]
Also posted in HL7 Data, Tips & Tricks | Leave a comment

Vary De-identified Names Across Clinical Data Using Caristix Cloak

By sovita.chander@caristix.com | Published: January 6, 2012
One of our Cloak customers is de-identifying several GB of clinical data coming from several healthcare information systems (including 2 ADTs and a lab system) at an IDN. This customer is asking some great questions that would help other Cloak users get more out of the software. Here’s an excerpt from our conversations. We’ll be [...]
Also posted in HL7 Data, Tips & Tricks | Leave a comment

Protecting Patient Data in HL7 Logs

By sovita.chander@caristix.com | Published: January 28, 2011
Information Week ran an article this week on protecting patient data. The article wasn’t on one of the usual suspects — a HIPAA violation or a breach in a production system. Instead, this was notable because we’re finally seeing one of the hidden dangers in healthcare IT coming to light: unsecured patient data sitting in [...]
Also posted in HL7 Data, Testing | Leave a comment

De-identifying Patient Data, Part 2

By jeanluc.morin@caristix.com | Published: December 16, 2010
Definitions We’re continuing with our series of posts on patient data de-identification. This week, we’re reviewing a set of definitions of common terms. This list will become the glossary for upcoming posts on HL7 de-identification and protecting sensitive healthcare data. We’re looking for feedback on this list. Feel free to add your nuances and/or related [...]
Also posted in HL7 Data | Leave a comment