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Literature DB >> 21347018

Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions.

Ming-Chin Lin¹, Daniel J Vreeman, Clement J McDonald, Stanley M Huff.

Abstract

With IRB approval, we obtained de-identified laboratory test data from 3 large institutions (ARUP, Intermountain, and Regenstrief). In this study we evaluated correctness of mapping local laboratory result codes to Logical Observation Identifier Names and Codes (LOINC®). We received 9,027 laboratory tests mapped to 3,669 unique LOINC codes. A one tenth sample (884 tests) was manually reviewed for correctness of the mappings. After review, there were 4 tests mapped to totally unrelated LOINC codes and there were 36 tests containing at least one error in mapping to the 6 axes of LOINC. The errors of LOINC mapping could be categorized into 4 systematic errors: 1) human errors, 2) mapping to different granularity, 3) lack of knowledge of the meaning of laboratory tests and 4) lack of knowledge of LOINC naming rules. Finally, we discuss how these systematic mapping errors might be avoided in the future.

Entities: Species

Mesh：

Year: 2010 PMID： 21347018 PMCID： PMC3041457

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

10 in total

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Journal: Proc AMIA Symp Date: 2000

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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

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Journal: Methods Inf Med Date: 1998-11 Impact factor: 2.176

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Journal: Health Aff (Millwood) Date: 2005 Sep-Oct Impact factor: 6.301

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10 in total

1. Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions.

Authors: Ming-Chin Lin; Daniel J Vreeman; Stanley M Huff
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. Learning from the crowd while mapping to LOINC.

Authors: Daniel J Vreeman; John Hook; Brian E Dixon
Journal: J Am Med Inform Assoc Date: 2015-07-29 Impact factor: 4.497

4. Impact of selective mapping strategies on automated laboratory result notification to public health authorities.

Authors: Roland E Gamache; Brian E Dixon; Shaun Grannis; Daniel J Vreeman
Journal: AMIA Annu Symp Proc Date: 2012-11-03

5. 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

6. A corpus-based approach for automated LOINC mapping.

Authors: Mustafa Fidahussein; Daniel J Vreeman
Journal: J Am Med Inform Assoc Date: 2013-05-15 Impact factor: 4.497

7. Evaluating congruence between laboratory LOINC value sets for quality measures, public health reporting, and mapping common tests.

Authors: Jianmin Wu; John T Finnell; Daniel J Vreeman
Journal: AMIA Annu Symp Proc Date: 2013-11-16