Evidence map›Paper›PMID 26392850›Full record

ArticleOnline journal of public health informatics2015

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

Sanjaya Dhakal, Sherry L Burrer, Carla A Winston, Achintya Dey, Umed Ajani, Samuel L Groseclose

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sanjaya DhakalDivision of Health Informatics and Surveillance, Center for Surveillance, Epidemiology and Laboratory Services, Office of Public Health Scientific Services.
Sherry L BurrerDivision of Environmental Hazards and Health Effects, Injury and Environmental Health, National Center for Environmental Health, Office of Non-communicable Diseases.
Carla A WinstonVeterans Health Administration, Office of Public Health, Office of Public Health Surveillance and Research, U.S. Department of Veterans Affairs.
Achintya DeyDivision of Health Informatics and Surveillance, Center for Surveillance, Epidemiology and Laboratory Services, Office of Public Health Scientific Services.
Umed AjaniDivision of Health Informatics and Surveillance, Center for Surveillance, Epidemiology and Laboratory Services, Office of Public Health Scientific Services.
Samuel L GrosecloseOffice of Science and Public Health Practice, Office of Public Health Preparedness and Response.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

biosurveillancecomputerized medical record systemselectronic laboratory reportLogical Observation Identifiers Names and Codes (LOINC)Systemized Nomenclature of Medicine Clinical Terms (SNOMED CT)

Identifiers

PMID26392850
PMCPMC4576438

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.