Literature DB >> 28637208

Unit conversions between LOINC codes.

Ronald G Hauser1,2, Douglas B Quine1,3, Alex Ryder4,5, Sheldon Campbell1,2.   

Abstract

Logical Observation Identifiers Names and Codes (LOINC) is the most widely used controlled vocabulary to identify laboratory tests. A given laboratory test can often be reported in more than 1 unit of measure (eg, grams or moles), and LOINC defines unique codes for each unit. Consequently, an identical laboratory test performed by 2 different clinical laboratories may have different LOINC codes. The absence of unit conversions between compatible LOINC codes impedes data aggregation and analysis of laboratory results. To develop such conversions, a computational process was developed to review the LOINC standard for potential conversions, and multiple expert reviewers oversaw and finalized the conversion list. In all, 285 bidirectional conversions were identified, including conversions for routine clinical tests such as sodium, magnesium, and human immunodeficiency virus (HIV). Unit conversions were applied to the aggregation of laboratory test results to demonstrate their usefulness. Diverse informatics projects may benefit from the ability to interconvert compatible results.
© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  LOINC; clinical laboratory information systems; controlled vocabulary

Mesh:

Year:  2018        PMID: 28637208      PMCID: PMC6251580          DOI: 10.1093/jamia/ocx056

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  9 in total

1.  Point-of-care testing of triglycerides: evaluation of the Accutrend triglycerides system.

Authors:  C Luley; G Ronquist; W Reuter; V Paal; H D Gottschling; S Westphal; G L King; S J Bakker; R J Heine; A Hattemer
Journal:  Clin Chem       Date:  2000-02       Impact factor: 8.327

2.  Relationship between serum, saliva and urinary cortisol and its implication during recovery from training.

Authors:  J P Neary; L Malbon; D C McKenzie
Journal:  J Sci Med Sport       Date:  2002-06       Impact factor: 4.319

3.  A characterization of local LOINC mapping for laboratory tests in three large institutions.

Authors:  M C Lin; D J Vreeman; C J McDonald; S M Huff
Journal:  Methods Inf Med       Date:  2010-08-20       Impact factor: 2.176

4.  Comparison of three whole blood creatinine methods for estimation of glomerular filtration rate before radiographic contrast administration.

Authors:  Nichole L Korpi-Steiner; Eric E Williamson; Brad S Karon
Journal:  Am J Clin Pathol       Date:  2009-12       Impact factor: 2.493

Review 5.  Do we now know what inappropriate laboratory utilization is? An expanded systematic review of laboratory clinical audits.

Authors:  Ronald G Hauser; Brian H Shirts
Journal:  Am J Clin Pathol       Date:  2014-06       Impact factor: 2.493

6.  Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results.

Authors:  A W Forrey; C J McDonald; G DeMoor; S M Huff; D Leavelle; D Leland; T Fiers; L Charles; B Griffin; F Stalling; A Tullis; K Hutchins; J Baenziger
Journal:  Clin Chem       Date:  1996-01       Impact factor: 8.327

Review 7.  Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.

Authors:  Rajesh Rajendran; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-06-05

8.  Comparison of multiple steroid concentrations in serum and dried blood spots throughout the day of patients with congenital adrenal hyperplasia.

Authors:  Kyriakie Sarafoglou; John H Himes; Jean M Lacey; Brian C Netzel; Ravinder J Singh; Dietrich Matern
Journal:  Horm Res Paediatr       Date:  2010-08-25       Impact factor: 2.852

9.  The relationship between lead in plasma and whole blood in women.

Authors:  Donald Smith; Mauricio Hernandez-Avila; Martha Maria Téllez-Rojo; Adriana Mercado; Howard Hu
Journal:  Environ Health Perspect       Date:  2002-03       Impact factor: 9.031

  9 in total
  4 in total

1.  Response to Unit conversions between LOINC codes.

Authors:  Daniel J Vreeman; Swapna Abhyankar; Clement J McDonald
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

2.  An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance.

Authors:  Amie J Barda; Victor M Ruiz; Tony Gigliotti; Fuchiang Rich Tsui
Journal:  JAMIA Open       Date:  2019-02-04

3.  Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study.

Authors:  Lorenz Rosenau; Raphael W Majeed; Josef Ingenerf; Alexander Kiel; Björn Kroll; Thomas Köhler; Hans-Ulrich Prokosch; Julian Gruendner
Journal:  JMIR Med Inform       Date:  2022-04-27

4.  Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

Authors:  Katie R Bradwell; Jacob T Wooldridge; Benjamin Amor; Tellen D Bennett; Adit Anand; Carolyn Bremer; Yun Jae Yoo; Zhenglong Qian; Steven G Johnson; Emily R Pfaff; Andrew T Girvin; Amin Manna; Emily A Niehaus; Stephanie S Hong; Xiaohan Tanner Zhang; Richard L Zhu; Mark Bissell; Nabeel Qureshi; Joel Saltz; Melissa A Haendel; Christopher G Chute; Harold P Lehmann; Richard A Moffitt
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

  4 in total

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