Data Masking/Protection
Abstract: HIPAA, GDPR, FERPA, and other data privacy laws require that personally identifiable information (PII) and related data considered sensitive be protected from disclosure or discovery. Read More
Data Masking/Protection
Abstract: With hundreds of thousands of medical imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world; billions of DICOM images are currently in use for clinical care. Read More
Data Masking/Protection
IRI’s reputation in the healthcare industry expanded from its traditional roots in claims data processing in 2010, when it released IRI FieldShield to find and de-identify Protected Health Information (PHI) in flat files and relational databases in compliance with the HIPAA Safe Harbour and Expert Determination Method security rules. Read More
Data Masking/Protection
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code. Read More
Data Masking/Protection
This article demonstrates the manipulation of a CSV file using an IRI Workbench wizard. In fact, this example shows how PII can be masked from almost any IRI job wizard, though CSV file masking is most often performed from a single or multi-file IRI FieldShield job menu. Read More
Data Masking/Protection
Enterprise data continues to change rapidly in form, size, use, and residence. Rarely does it remain in siloed constructs anymore, limited to certain business units or untouched by the outside world. Read More
Data Masking/Protection
This is an introduction to IRI CellShield. Subsequent blogs will demonstrate the different functions in CellShield: data masking, encryption, and pseudonymization. If you’re interested in finding, classifying, or masking PII in databases or flat files, check out IRI FieldShield. Read More