Country / Region
EMEA
Tags
Data analytics, Mapping, Research
This work intention is to support laboratory data interoperability and later data analytics. Ultimately, we aim at enabling our tests data to be understood in any of the three data dictionaries (bioMerieux, LOINC, SNOMED CT)
Following its involvement in the FDA SHIELD program, bioMerieux (world leading IVD systems manufacturer) has a track record of publishing maps associating its test catalogue to LOINC codes and publishing them as LIDV files. We also published several posters where we associated part of our test results (nominal results) to SNOMED CT.
We take benefit of the LOINC-SNOMED collaboration to investigate an association embedding our test catalogue & LOINC codes (cf. LIVD publication), SNOMED observations, claimed test results (binary, ordinal, nominal) and claimed supported specimen.
Firstly, a conceptual model is created and implemented in a graph data model. Secondly, our different mappings are re-used, completed and qualified (exact match, border match and narrow match). Their covering is described based on metrics such as: precision and recall.
Description
My project's main objective is to ensure bioMerieux's systems data interoperability. Data are represented in a conceptual graph that links together bioMerieux, LOINC and SNOMED CT sub-vocabularies.
Scope
SNOMED CT is considered as a common language in the medical field, even with professionals from different countries.
How SNOMED CT will be used
SNOMED CT is used as an interface onto-terminology linking the other two controlled terminologies (bioMérieux terminology & LOINC) together.
Why SNOMED CT will be used
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