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Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories

OBJECTIVE: Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize fin...

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Autores principales: Cholan, Raja A, Pappas, Gregory, Rehwoldt, Greg, Sills, Andrew K, Korte, Elizabeth D, Appleton, I Khalil, Scott, Natalie M, Rubinstein, Wendy S, Brenner, Sara A, Merrick, Riki, Hadden, Wilbur C, Campbell, Keith E, Waters, Michael S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277627/
https://www.ncbi.nlm.nih.gov/pubmed/35639494
http://dx.doi.org/10.1093/jamia/ocac072
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author Cholan, Raja A
Pappas, Gregory
Rehwoldt, Greg
Sills, Andrew K
Korte, Elizabeth D
Appleton, I Khalil
Scott, Natalie M
Rubinstein, Wendy S
Brenner, Sara A
Merrick, Riki
Hadden, Wilbur C
Campbell, Keith E
Waters, Michael S
author_facet Cholan, Raja A
Pappas, Gregory
Rehwoldt, Greg
Sills, Andrew K
Korte, Elizabeth D
Appleton, I Khalil
Scott, Natalie M
Rubinstein, Wendy S
Brenner, Sara A
Merrick, Riki
Hadden, Wilbur C
Campbell, Keith E
Waters, Michael S
author_sort Cholan, Raja A
collection PubMed
description OBJECTIVE: Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize findings to inform future United States Food and Drug Administration policy on the use of real-world evidence in regulatory decisions. MATERIALS AND METHODS: We compared gaps and similarities between diagnostic test manufacturers’ recommended LOINC® codes and the LOINC® codes used in medical center laboratories for the same tests. RESULTS: Five medical centers and three test manufacturers extracted data from laboratory information systems (LIS) for prioritized tests of interest. The data submission ranged from 74 to 532 LOINC® codes per site. Three test manufacturers submitted 15 LIVD catalogs representing 26 distinct devices, 6956 tests, and 686 LOINC® codes. We identified mismatches in how medical centers use LOINC® to encode laboratory tests compared to how test manufacturers encode the same laboratory tests. Of 331 tests available in the LIVD files, 136 (41%) were represented by a mismatched LOINC® code by the medical centers (chi-square 45.0, 4 df, P < .0001). DISCUSSION: The five medical centers and three test manufacturers vary in how they organize, categorize, and store LIS catalog information. This variation impacts data quality and interoperability. CONCLUSION: The results of the study indicate that providing the LIVD mappings was not sufficient to support laboratory data interoperability. National implementation of LIVD and further efforts to promote laboratory interoperability will require a more comprehensive effort and continuing evaluation and quality control.
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spelling pubmed-92776272022-07-18 Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories Cholan, Raja A Pappas, Gregory Rehwoldt, Greg Sills, Andrew K Korte, Elizabeth D Appleton, I Khalil Scott, Natalie M Rubinstein, Wendy S Brenner, Sara A Merrick, Riki Hadden, Wilbur C Campbell, Keith E Waters, Michael S J Am Med Inform Assoc Research and Applications OBJECTIVE: Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize findings to inform future United States Food and Drug Administration policy on the use of real-world evidence in regulatory decisions. MATERIALS AND METHODS: We compared gaps and similarities between diagnostic test manufacturers’ recommended LOINC® codes and the LOINC® codes used in medical center laboratories for the same tests. RESULTS: Five medical centers and three test manufacturers extracted data from laboratory information systems (LIS) for prioritized tests of interest. The data submission ranged from 74 to 532 LOINC® codes per site. Three test manufacturers submitted 15 LIVD catalogs representing 26 distinct devices, 6956 tests, and 686 LOINC® codes. We identified mismatches in how medical centers use LOINC® to encode laboratory tests compared to how test manufacturers encode the same laboratory tests. Of 331 tests available in the LIVD files, 136 (41%) were represented by a mismatched LOINC® code by the medical centers (chi-square 45.0, 4 df, P < .0001). DISCUSSION: The five medical centers and three test manufacturers vary in how they organize, categorize, and store LIS catalog information. This variation impacts data quality and interoperability. CONCLUSION: The results of the study indicate that providing the LIVD mappings was not sufficient to support laboratory data interoperability. National implementation of LIVD and further efforts to promote laboratory interoperability will require a more comprehensive effort and continuing evaluation and quality control. Oxford University Press 2022-05-25 /pmc/articles/PMC9277627/ /pubmed/35639494 http://dx.doi.org/10.1093/jamia/ocac072 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research and Applications
Cholan, Raja A
Pappas, Gregory
Rehwoldt, Greg
Sills, Andrew K
Korte, Elizabeth D
Appleton, I Khalil
Scott, Natalie M
Rubinstein, Wendy S
Brenner, Sara A
Merrick, Riki
Hadden, Wilbur C
Campbell, Keith E
Waters, Michael S
Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title_full Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title_fullStr Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title_full_unstemmed Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title_short Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
title_sort encoding laboratory testing data: case studies of the national implementation of hhs requirements and related standards in five laboratories
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277627/
https://www.ncbi.nlm.nih.gov/pubmed/35639494
http://dx.doi.org/10.1093/jamia/ocac072
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