CATS is a service-oriented platform for de-identification of data. CATS support anonymisation of different types of data (CSV, XML, HL7, DICOM,...) in a generic and extendable way. It can be integrated into automated data-flows or be used for manual de-identification.
Originally a standalone tool for manual de-identification of datasets, CATS has evolved into a versatile service platform for de-identification and pseudonymisation which can be easily integrated into high volume data workflows. With CATS, data de-identification can be added to your data flows in just a few simple steps:
The two-stage approach (data mapping and the use of privacy profiles) allows for uniform processing (i.e. with the same privacy profile) of data in different formats. It is not only more convenient for setting up a project; it also provides a higher assurance level with respect to compliance. A wide range of privacy enhancing operations can be configured in the profiles, for example:
Out of the box, the CATS platform supports processing data in the following formats: CSV (“Comma Separated Values”), XML, HL7, DICOM and is capable of performing operations on relational databases directly through SQL. Due to the modular design, end-users can add modules that support their own proprietary data formats.