Automated Modeling of Clinical Narrative with High Definition Natural Language Processing Using Solor and Analysis Normal Form.

Journal: Studies in health technology and informatics
PMID: 34795088

Abstract

OBJECTIVE: One important concept in informatics is data which meets the principles of Findability, Accessibility, Interoperability and Reusability (FAIR). Standards, such as terminologies (findability), assist with important tasks like interoperability, Natural Language Processing (NLP) (accessibility) and decision support (reusability). One terminology, Solor, integrates SNOMED CT, LOINC and RxNorm. We describe Solor, HL7 Analysis Normal Form (ANF), and their use with the high definition natural language processing (HD-NLP) program.

Authors

  • Melissa P Resnick
    Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA.
  • Frank LeHouillier
    Department of Biomedical Informatics, University at Buffalo.
  • Steven H Brown
    Office of Health Informatics, Department of Veterans Affairs.
  • Keith E Campbell
    U.S. Department of Veterans Affairs, Office of Health Informatics, USA.
  • Diane Montella
    U.S. Department of Veterans Affairs, Office of Health Informatics, USA.
  • Peter L Elkin
    Department of Biomedical Informatics, University at Buffalo, Buffalo, NY.

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