AI Article Synopsis

  • - The study aimed to link pharmaceutical claim codes to SNOMED CT to enhance collaborative research and improve data consistency across different centers.
  • - The mapping process involved both automated and manual methods, with quality checks conducted by experts in terminology and pharmacy.
  • - Ultimately, 80% of the claim codes were successfully mapped to SNOMED CT, with over half (50.6%) fitting precisely into a specific clinical drug category.

Article Abstract

The objective of this study was to map pharmaceutical claim codes to SNOMED CT and thereby facilitate multicenter collaborative research and improve semantic interoperability. The claim codes were mapped to SNOMED CT using rule-based automated and manual methods. The maps were internally validated by terminologists and a pharmacist. Finally, 80% of all claim codes were mapped to the concepts of Pharmaceutical/biologic product hierarchy in SNOMED CT. Of them, 50.6% of the codes were exactly mapped to one clinical drug branch concept.

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Source
http://dx.doi.org/10.3233/SHTI220462DOI Listing

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