Data Masking/Protection
The IRI DarkShield data masking product now includes fit-for-purpose wizards in the IRI Workbench IDE to search (classify) and mask (remediate) sensitive ”dark data” (as defined by Gartner) in many semi, unstructured, and structured file, NoSQL, and relational database (RDB) sources. Read More
Test Data
In this article we will discuss how HL7 and X12 messages are structured, and demonstrate how to use the IRI RowGen test data generation software package to generate realistic messages in those (primarily healthcare-related) EDI file formats. Read More
Data Masking/Protection
Editors Note: This article demonstrates the discovery and de-identification of Protected Health Information (PHI) in EDI files using the DarkShield API for Files. If you are interested in using the fit-for-purpose search/mask graphical wizards in DarkShield instead, see this article on HL7 masking, this article on X12 masking, or this article on FHIR masking. Read More
Data Masking/Protection
Editors Note: It is now possible to discover, deliver, and de-identify PHI in text-based HL7 files directly using the IRI DarkShield data masking product for semi-structured and unstructured files, which is also included in the IRI data management platform mentioned in the discussion below where the HL7 files are structured. Read More
Business Intelligence (BI)
In this series of articles, we will describe the semi-structured HL7 file format used in many healthcare industry data storage and processing settings, and show how you can rapidly transform and mask large volumes of HL7 XML messages without writing code. Read More