Ontoserver: a syndicated terminology server.

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: Even though several high-quality clinical terminologies, such as SNOMED CT and LOINC, are readily available, uptake in clinical systems has been slow and many continue to capture information in plain text or using custom terminologies. This paper discusses some of the challenges behind this slow uptake and describes a clinical terminology server implementation that aims to overcome these obstacles and contribute to the widespread adoption of standardised clinical terminologies.

Authors

  • Alejandro Metke-Jimenez
    The Australian e-Health Research Centre, CSIRO, Level 5 UQ Health Sciences Building, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia. alejandro.metke@csiro.au.
  • Jim Steel
    The Australian e-Health Research Centre, CSIRO, Level 5 UQ Health Sciences Building, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia.
  • David Hansen
    The Australian e-Health Research Centre, CSIRO, Level 5 UQ Health Sciences Building, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia.
  • Michael Lawley
    The Australian e-Health Research Centre, CSIRO, Level 5 UQ Health Sciences Building, Royal Brisbane and Women's Hospital, Herston, QLD 4029, Australia.