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JAMIA 13:353-355 doi:10.1197/jamia.M1935
  • Original Investigation
  • Case Report

Standardizing Laboratory Data by Mapping to LOINC

  1. Agha N Khan,
  2. Stanley P Griffith,
  3. Catherine Moore,
  4. Dorothy Russell,
  5. Arnulfo C Rosario Jr,
  6. Jeanne Bertolli
  1. Affiliations of the authors: Centers for Disease Control and Prevention, Atlanta, GA (ANK, ACR, JB); Indian Health Service, Albuquerque, NM (SPG, CM); Cimarron Medical Informatics, Tucson, AZ (DR)
  1. Correspondence and reprints: Agha N. Khan, MD, MPH, Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS 08, Atlanta, GA 30333; e-mail: <akk3{at}cdc.gov>
  • Received 15 August 2005
  • Accepted 18 December 2005

Abstract

The authors describe a pilot project to standardize local laboratory data at five Indian Health Service (IHS) medical facilities by mapping laboratory test names to Logical Observation Identifier Names and Codes (LOINC). An automated mapping tool was developed to assign LOINC codes. At these sites, they were able to map from 63% to 76% of the local active laboratory tests to LOINC using the mapping tool. Eleven percent to 27% of the tests were mapped manually. They could not assign LOINC codes to 6% to 19% of the laboratory tests due to incomplete or incorrect information about these tests. The results achieved approximate other similar efforts. Mapping of laboratory test names to LOINC codes will allow IHS to aggregate laboratory data more easily for disease surveillance and clinical and administrative reporting efforts. This project may provide a model for standardization efforts in other health systems.

Footnotes

  • The authors thank their colleagues in the five Indian Health Service facilities that participated in the pilot phase of this project: Albuquerque Indian Hospital, Rapid City PHS Sioux San Indian Hospital, Ignacio PHS Indian Health Center, Phoenix Indian Medical Center, and W. W. Hastings Indian Hospital. They also thank Russell Pitman, Patrick Beatty, and Tim Frazier from IHS and Lori Butcher and Mark Williams from Cimarron Medical Informatics.

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