Literature DB >> 16779076

Mapping Department of Defense laboratory results to Logical Observation Identifiers Names and Codes (LOINC).

Lee Min Lau1, Pam D Banning, Kent Monson, Elva Knight, Pat S Wilson, Shaun C Shakib.   

Abstract

The Department of Defense (DoD) has used a common application, Composite Health Care System (CHCS), throughout all DoD facilities. However, the master files used to encode patient data in CHCS are not identical across DoD facilities. The encoded data is thus not interoperable from one DoD facility to another. To enable data interoperability in the next-generation system, CHCS II, and for the DoD to exchange laboratory results with external organizations such as the Veterans Administration (VA), the disparate master file codes for laboratory results are mapped to Logical Observation Identifier Names and Codes (LOINC) wherever possible. This paper presents some findings from our experience mapping DoD laboratory results to LOINC.

Entities:  

Mesh：

Year:  2005        PMID： 16779076      PMCID： PMC1560764     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  3 in total

1.  A method for the automated mapping of laboratory results to LOINC.

Authors:  L M Lau; K Johnson; K Monson; S H Lam; S M Huff
Journal:  Proc AMIA Symp       Date:  2000

2.  LOINC, a universal standard for identifying laboratory observations: a 5-year update.

Authors:  Clement J McDonald; Stanley M Huff; Jeffrey G Suico; Gilbert Hill; Dennis Leavelle; Raymond Aller; Arden Forrey; Kathy Mercer; Georges DeMoor; John Hook; Warren Williams; James Case; Pat Maloney
Journal:  Clin Chem       Date:  2003-04       Impact factor: 8.327

3.  Designing a controlled medical vocabulary server: the VOSER project.

Authors:  R A Rocha; S M Huff; P J Haug; H R Warner
Journal:  Comput Biomed Res       Date:  1994-12
  3 in total
  10 in total

1.  Interoperability of medical databases: construction of mapping between hospitals laboratory results assisted by automated comparison of their distributions.

Authors:  Grégoire Ficheur; Emmanuel Chazard; Aurélien Schaffar; Matthieu Genty; Régis Beuscart
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes.

Authors:  M C Lin; D J Vreeman; Clement J McDonald; S M Huff
Journal:  J Biomed Inform       Date:  2012-01-28       Impact factor: 6.317

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.  Enabling international adoption of LOINC through translation.

Authors:  Daniel J Vreeman; Maria Teresa Chiaravalloti; John Hook; Clement J McDonald
Journal:  J Biomed Inform       Date:  2012-01-21       Impact factor: 6.317

5.  Learning From the Crowd in Terminology Mapping: The LOINC Experience.

Authors:  Brian E Dixon; John Hook; Daniel J Vreeman
Journal:  Lab Med       Date:  2015

6.  Mapping local laboratory interface terms to LOINC at a German university hospital using RELMA V.5: a semi-automated approach.

Authors:  Christian Zunner; Thomas Bürkle; Hans-Ulrich Prokosch; Thomas Ganslandt
Journal:  J Am Med Inform Assoc       Date:  2012-07-16       Impact factor: 4.497

7.  Assessing the performance of LOINC® and RadLex for coverage of CT scans across three sites in a health information exchange.

Authors:  Anton Oscar Beitia; Gilad Kuperman; Bradley N Delman; Jason S Shapiro
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

8.  An approach to improve LOINC mapping through augmentation of local test names.

Authors:  Hyeoneui Kim; Robert El-Kareh; Anupam Goel; F N U Vineet; Wendy W Chapman
Journal:  J Biomed Inform       Date:  2011-12-21       Impact factor: 6.317

9.  Exchange of computable patient data between the Department of Veterans Affairs (VA) and the Department of Defense (DoD): terminology mediation strategy.

Authors:  Omar Bouhaddou; Pradnya Warnekar; Fola Parrish; Nhan Do; Jack Mandel; John Kilbourne; Michael J Lincoln
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

10.  Patient-specific surgical outcomes assessment using population-based data analysis for risk model development.

Authors:  Ahmad M AbuSalah; Genevieve B Melton; Terrence J Adam
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03
  10 in total

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