Coding of Electronic Laboratory Reports for Biosurveillance, Selected United States Hospitals, 2011

Authors

  • Sanjaya Dhakal Centers for Disease Control and Prevention
  • Sherry L. Burrer Centers for Disease Control and Prevention
  • Carla A. Winston Centers for Disease Control and Prevention
  • Achintya Dey Centers for Disease Control and Prevention
  • Umed Ajani Centers for Disease Control and Prevention
  • Samuel L. Groseclose Centers for Disease Control and Prevention

DOI:

https://doi.org/10.5210/ojphi.v7i2.5859

Abstract

Objective

Electronic laboratory reporting has been promoted as a public health priority. The Office of the U.S. National Coordinator for Health Information Technology has endorsed two coding systems: Logical Observation Identifiers Names and Codes (LOINC) for laboratory test orders and Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) for test results. 

Materials and Methods

We examined LOINC and SNOMED CT code use in electronic laboratory data reported in 2011 by 63 non-federal hospitals to BioSense electronic syndromic surveillance system.  We analyzed the frequencies, characteristics, and code concepts of test orders and results.

Results

A total of 14,028,774 laboratory test orders or results were reported. No test orders used SNOMED CT codes. To describe test orders, 77% used a LOINC code, 17% had no value, and 6% had a non-informative value, “OTH”. Thirty-three percent (33%) of test results had missing or non-informative codes. For test results with at least one informative value, 91.8% had only LOINC codes, 0.7% had only SNOMED codes, and 7.4% had both. Of 108 SNOMED CT codes reported without LOINC codes, 45% could be matched to at least one LOINC code.

Conclusion

Missing or non-informative codes comprised almost a quarter of laboratory test orders and a third of test results reported to BioSense by non-federal hospitals. Use of LOINC codes for laboratory test results was more common than use of SNOMED CT. Complete and standardized coding could improve the usefulness of laboratory data for public health surveillance and response.

Author Biographies

Sanjaya Dhakal, Centers for Disease Control and Prevention

Epidemiologist,

Surveillance and Information Support Branch

Division of Health Informatics and Surveillance

Center for Surveillance, Epidemiology and laboratory Services

Sherry L. Burrer, Centers for Disease Control and Prevention

Division of Environmental Hazards and Health Effects, Injury and Environmental Health

National Center for Environmental Health,

Office of Noncommunicable Diseases

Carla A. Winston, Centers for Disease Control and Prevention

Veterans Health Administration

Office of Public Health, Office of Public Health Surveillance and Research

U.S. Department of Veterans Affairs

Achintya Dey, Centers for Disease Control and Prevention

Surveillance and Information Support Branch

Division of Health Informatics and Surveillance

Center for Surveillance, Epidemiology and laboratory Services

Umed Ajani, Centers for Disease Control and Prevention

Surveillance and Information Support Branch

Division of Health Informatics and Surveillance

Center for Surveillance, Epidemiology and laboratory Services

Samuel L. Groseclose, Centers for Disease Control and Prevention

Office of Science and Public Health Practice

Office of Public Health Preparedness and Response

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Published

2015-06-09

How to Cite

Dhakal, S., Burrer, S. L., Winston, C. A., Dey, A., Ajani, U., & Groseclose, S. L. (2015). Coding of Electronic Laboratory Reports for Biosurveillance, Selected United States Hospitals, 2011. Online Journal of Public Health Informatics, 7(2). https://doi.org/10.5210/ojphi.v7i2.5859

Issue

Section

Original Articles