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Attention

As of March 1, 2022, the legacy Barracuda Essentials Security, Compliance, and Complete editions are no longer available for purchase. Only existing customers can renew or add users to these plans. The documentation and trainings related to these plans will no longer be available after October 30, 2022. For more information on the latest Email Protection plans, see Barracuda Email Protection.

To update your bookmarks, see the following for the latest documentation and trainings:

Note that MSP customers should continue to follow Barracuda Essentials for MSPs.

Medical Dictionary Source for DLP HIPAA Compliance

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The DLP/HIPAA compliance engine is powered by the UMLS Metathesaurus, version 2013AA, created by the U.S. National Library of Medicine, National Institutes of Health. Within the UMLS Metathesaurus, it uses medical vocabulary from:

  • COSTAR, by Massachusetts General Hospital, Harvard Medical School
  • DXplain, by Massachusetts General Hospital, Harvard Medical School
  • FMA*, by Structural Informatics Group, University of Washington
  • HCPCS, by Centers for Medicare and Medicaid Services
  • ICD-9-CM, by U.S. Department of Health and Human Services
  • MTHICD0, by U.S. National Library of Medicine, National Institutes of Health
  • NCI Thesaurus, by National Cancer Institute, National Institutes of Health
  • VANDF, by U.S. Department of Veteran's Affairs

The compliance engine uses only portions of each of the above vocabularies. It also uses vocabulary which is not a part of the UMLS Metathesaurus, developed by the Barracuda Networks research team.

Some material in the UMLS Metathesaurus is from copyrighted sources of the respective copyright holders. Users of the UMLS Metathesaurus are solely responsible for compliance with any copyright, patent or trademark restrictions and are referred to the copyright, patent or trademark notices appearing in the original sources, all of which are hereby incorporated by reference.

*FMA is the intellectual property of the University of Washington and was developed at the University of Washington by the Structural Informatics Group.

 

 

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