Learning from the crowd while mapping to LOINC

Vreeman, Daniel J.; Hook, J. N.; Dixon, Brian E.

doi:10.1093/jamia/ocv098

Cited by 8 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We assume that this is due to the high heterogeneity of data elements present in LOINC. We also considered using RELMA [10], which offers an automatic suggestion of mappings, but unfortunately does not allow multi-user workflows as mentioned in our requirements. We suspected that most of the work consists of researching content, but not in selecting the "best" match.…”

Section: Discussion and Outlookmentioning

confidence: 99%

“…The task of creating mappings in general is a recurring challenge. Regarding LOINC, there are tools such as RELMA [10], however, to the best of our knowledge, there is no tool yet that allows multiple users to work in parallel on a mapping project. To tackle this problem, we implemented a generic collaborative terminology mapping application.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-User Terminology Mapping Toolbox

Mate

Seuchter

Ehrenberg

et al. 2021

German Medical Data Sciences: Bringing Data to Life

View full text Add to dashboard Cite

Semantic interoperability is a major challenge in multi-center data sharing projects, a challenge that the German Initiative for Medical Informatics is taking up. With respect to laboratory data, enriching site-specific tests and measurements with LOINC codes appears to be a crucial step in supporting cross-institutional research. However, this effort is very time-consuming, as it requires expert knowledge of local site specifics. To ease this process, we developed a generic manual collaborative terminology mapping tool, the MIRACUM Mapper. It allows the creation of arbitrary mapping workflows involving different user roles. A mapping workflow with two user roles has been implemented at University Hospital Erlangen to support the local LOINC mapping. Additionally, the MIRACUM LabVisualizeR provides summary statistics and visualizations of analyte data. We developed a toolbox that facilitates the collaborative creation of mappings and streamlines the review as well as the validation process. The two tools are available under an open source license.

show abstract

Section: Discussion and Outlookmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-User Terminology Mapping Toolbox

Mate

Seuchter

Ehrenberg

et al. 2021

German Medical Data Sciences: Bringing Data to Life

View full text Add to dashboard Cite

show abstract

“…The LOINC system covers almost all laboratory observations, by reflecting changes in laboratory tests, and serves widely as the standard of information exchange between health institutions. More than 164 countries have used LOINC, and over 25 countries, including the United States, have adopted LOINC as a national standard ( 10 ). LOINC was developed by the civil institute, and Unified Medical Language System (UMLS) was developed by the United States government.…”

Section: Discussionmentioning

confidence: 99%

Report on the Project for Establishment of the Standardized Korean Laboratory Terminology Database, 2015

et al. 2017

View full text Add to dashboard Cite

The National Health Information Standards Committee was established in 2004 in Korea. The practical subcommittee for laboratory test terminology was placed in charge of standardizing laboratory medicine terminology in Korean. We aimed to establish a standardized Korean laboratory terminology database, Korea-Logical Observation Identifier Names and Codes (K-LOINC) based on former products sponsored by this committee. The primary product was revised based on the opinions of specialists. Next, we mapped the electronic data interchange (EDI) codes that were revised in 2014, to the corresponding K-LOINC. We established a database of synonyms, including the laboratory codes of three reference laboratories and four tertiary hospitals in Korea. Furthermore, we supplemented the clinical microbiology section of K-LOINC using an alternative mapping strategy. We investigated other systems that utilize laboratory codes in order to investigate the compatibility of K-LOINC with statistical standards for a number of tests. A total of 48,990 laboratory codes were adopted (21,539 new and 16,330 revised). All of the LOINC synonyms were translated into Korean, and 39,347 Korean synonyms were added. Moreover, 21,773 synonyms were added from reference laboratories and tertiary hospitals. Alternative strategies were established for mapping within the microbiology domain. When we applied these to a smaller hospital, the mapping rate was successfully increased. Finally, we confirmed K-LOINC compatibility with other statistical standards, including a newly proposed EDI code system. This project successfully established an up-to-date standardized Korean laboratory terminology database, as well as an updated EDI mapping to facilitate the introduction of standard terminology into institutions.

show abstract

“…Within the USA, the Meaningful Use incentive program requires LOINC in messages reporting laboratory test results, exchanging medical summaries, and sending data to cancer registries and public health agencies. About 20 U.S. federal agencies have adopted LOINC in various programs 33 . The U.S. Food and Drug Administration (FDA) will be requiring LOINC for lab test data in regulated studies starting after March 2020, and they have articulated a broad vision of using real-world evidence in post market surveillance that depends on standardized data.…”

Section: Loincmentioning

confidence: 99%

Recent Developments in Clinical Terminologies — SNOMED CT, LOINC, and RxNorm

2018

View full text Add to dashboard Cite

With different starting points, representation formalisms, funding sources, and evolutionary paths, SNOMED CT, LOINC, and RxNorm have evolved over the past few decades into three major clinical terminologies supporting key use cases in clinical practice. Despite their differences, partnerships have been created among their development teams to facilitate interoperability and minimize duplication of effort.

show abstract

Learning from the crowd while mapping to LOINC

Cited by 8 publications

References 15 publications

A Multi-User Terminology Mapping Toolbox

A Multi-User Terminology Mapping Toolbox

Report on the Project for Establishment of the Standardized Korean Laboratory Terminology Database, 2015

Recent Developments in Clinical Terminologies — SNOMED CT, LOINC, and RxNorm

Contact Info

Product

Resources

About