Literature DB >> 9749897

Combining laboratory data sets from multiple institutions using the logical observation identifier names and codes (LOINC).

D M Baorto1, J J Cimino, C A Parvin, M G Kahn.   

Abstract

A standard set of names and codes for laboratory test results is critical for any endeavor requiring automated data pooling, including multi-institutional research and cross-facility patient care. This need has led to the development of the logical observation identifier names and codes (LOINC) database and its test-naming convention. This study is an expansion of a pilot study using LOINC to exchange laboratory data between Columbia University Medical Center in New York and Barnes Hospital at Washington University in St. Louis, where we described complexities and ambiguities that arose in the LOINC coding process (D.M. Baorto, J.J. Cimino, C.A. Parvin, M.G. Kahn, Proc. Am. Med. Inf. Assoc. 1997). For the present study, we required the same two medical centers to again extract raw laboratory data from their local information system for a defined patient population, translate tests into LOINC and provide aggregate data which could then be used to compare laboratory utilization. Here we examine a larger number of tests from each site which have been recoded using an updated version of the LOINC database. We conclude that the coding of local tests into LOINC can often be complex, especially the 'Kind of Property' field and apparently trivial differences in choices made by individual institutions can result in nonmatches in electronically pooled data. In the present study, 75% of failures to match the same tests between different institutions using LOINC codes were due to differences in local coding choices. LOINC has the potential to eliminate the need for detailed human inspection during the pooling of laboratory data from diverse sites and perhaps even a built-in capability to adjust matching stringency by selecting subsets of LOINC fields required to match. However, a quality standard coding procedure is required and examples highlighted in this paper may require special attention while mapping to LOINC.

Entities:  

Mesh:

Year:  1998        PMID: 9749897     DOI: 10.1016/s1386-5056(98)00089-6

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  26 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.  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.  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

5.  The long road to semantic interoperability in support of public health: experiences from two states.

Authors:  Brian E Dixon; Daniel J Vreeman; Shaun J Grannis
Journal:  J Biomed Inform       Date:  2014-03-25       Impact factor: 6.317

6.  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

7.  Automated mapping of local radiology terms to LOINC.

Authors:  Daniel J Vreeman; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

Review 9.  A review of auditing methods applied to the content of controlled biomedical terminologies.

Authors:  Xinxin Zhu; Jung-Wei Fan; David M Baorto; Chunhua Weng; James J Cimino
Journal:  J Biomed Inform       Date:  2009-03-12       Impact factor: 6.317

10.  Design of a Personal Health Record and Health Knowledge Sharing System using IHE-XDS and OWL.

Authors:  Li-Hui Lee; Yi-Ting Chou; Ean-Wen Huang; Der-Ming Liou
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.