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Variation in Laboratory Test Naming Conventions in EHRs Within and Between Hospitals: A Nationwide Longitudinal Study.
Wiitala, Wyndy L; Vincent, Brenda M; Burns, Jennifer A; Prescott, Hallie C; Waljee, Akbar K; Cohen, Genna R; Iwashyna, Theodore J.
Afiliação
  • Wiitala WL; Veterans Affairs Center for Clinical Management Research.
  • Vincent BM; Veterans Affairs Center for Clinical Management Research.
  • Burns JA; Veterans Affairs Center for Clinical Management Research.
  • Prescott HC; Veterans Affairs Center for Clinical Management Research.
  • Waljee AK; Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
  • Cohen GR; Veterans Affairs Center for Clinical Management Research.
  • Iwashyna TJ; Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
Med Care ; 57(4): e22-e27, 2019 04.
Article em En | MEDLINE | ID: mdl-30394981
ABSTRACT

BACKGROUND:

Electronic health records provide clinically rich data for research and quality improvement work. However, the data are often unstructured text, may be inconsistently recorded and extracted into centralized databases, making them difficult to use for research.

OBJECTIVES:

We sought to quantify the variation in how key laboratory measures are recorded in the Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) across hospitals and over time. We included 6 laboratory tests commonly drawn within the first 24 hours of hospital admission (albumin, bilirubin, creatinine, hemoglobin, sodium, white blood cell count) from fiscal years 2005-2015.

RESULTS:

We assessed laboratory test capture for 5,454,411 acute hospital admissions at 121 sites across the VA. The mapping of standardized laboratory nomenclature (Logical Observation Identifiers Names and Codes, LOINCs) to test results in CDW varied within hospital by laboratory test. The relationship between LOINCs and laboratory test names improved over time; by FY2015, 109 (95.6%) hospitals had >90% of the 6 laboratory tests mapped to an appropriate LOINC. All fields used to classify test results are provided in an Appendix (Supplemental Digital Content 1, http//links.lww.com/MLR/B635).

CONCLUSIONS:

The use of electronic health record data for research requires assessing data consistency and quality. Using laboratory test results requires the use of both unstructured text fields and the identification of appropriate LOINCs. When using data from multiple facilities, the results should be carefully examined by facility and over time to maximize the capture of data fields.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Logical Observation Identifiers Names and Codes / Registros Eletrônicos de Saúde / Data Warehousing / Hospitais de Veteranos Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Med Care Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Logical Observation Identifiers Names and Codes / Registros Eletrônicos de Saúde / Data Warehousing / Hospitais de Veteranos Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Med Care Ano de publicação: 2019 Tipo de documento: Article