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Allen W Hahn1, Michael K Martin, Arthur M Siegel

  • 1College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.

Biomedical Sciences Instrumentation
|May 12, 2004
PubMed
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The Veterinary Medical DataBases (VMDB) now collects clinical data from veterinary schools and practitioners using Standard Nomenclature of Medicine (SNOMED) and Health Level 7 (HL7) standards. This initiative aims to improve data representation and transmission in veterinary medicine.

Area of Science:

  • Veterinary Informatics
  • Clinical Data Management
  • Health Data Standards

Background:

  • The Veterinary Medical DataBases (VMDB) has a 40-year history of data collection from veterinary institutions.
  • There is an ongoing need to expand data collection to include veterinary practitioners.
  • Standardizing data representation and transmission is crucial for effective data sharing and analysis.

Purpose of the Study:

  • To report on the planning and implementation of using Standard Nomenclature of Medicine (SNOMED) and Health Level 7 (HL7) for clinical case data collection.
  • To describe the integration of these standards into the VMDB program.
  • To identify and discuss challenges encountered during the implementation process.

Main Methods:

  • Adoption of Standard Nomenclature of Medicine (SNOMED) as a standard vocabulary language.

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  • Implementation of Health Level 7 (HL7) as a standard transmission protocol.
  • Development of a program to collect clinical case data from veterinary schools and practitioners.

    • Main Results:

    • Successful planning and initial implementation of SNOMED and HL7 standards within the VMDB data collection program.
    • Established a framework for collecting clinical case data from a broader range of veterinary professionals.
    • Identified specific challenges related to the practical application of these standards in diverse veterinary settings.

    Conclusions:

    • The integration of SNOMED and HL7 represents a significant step towards standardized veterinary clinical data.
    • Addressing implementation challenges is key to the successful expansion and long-term sustainability of the VMDB program.
    • Standardized data collection will enhance the utility and comparability of veterinary clinical information for research and practice.