Challenge and Benefits
Enterprises need to share data related to individuals while:
- Maintaining the correlation among the various records of the same individual
- Protecting privacy of individuals
- Complying with existing and emerging legislations and policies set out by governments and organizations (e.g., HIPAA in US, FIPPA in Canada)
The data to be shared is:
- Of various types and formats
- With dispersed protected information
- With distinctive anonymization requirements in different locations in the world
Benefits
- A simple highly flexible de-identification platform to work successfully with different domains, regulations, and types of data
- Can use an Anonymous Global Patient ID (AGPI) server to maintain correlation among the various documents that belong to the same individual
- Uses state-of-the-art information retrieval algorithms to locate and mark identifiers in structured (forms) or unstructured (free text) data
- Enables users to configure rules and actions that determine which information is removed or replaced
- Can be easily configured to support different privacy restrictions (HIPAA, FIPPA, etc.), depending on the location or required level of confidentiality.
- Easily integrated with legacy systems and includes a pluggable architecture
Conclusion
De-identification is a required element of information integration, enabling enterprises to effectively and efficiently reduce the risks of unauthorized disclosure. UDIP adds flexible automated de-identification for cross-enterprise information sharing and correlation.