Aggregations of Substance in Virtual Drug Models Based on ISO/CEN Standards for Identification of Medicinal Products (IDMP).

Anatomical Chemical Therapeutic Classification Identification of medicinal Product (IDMP) International Non-proprietary Name Pharmaceutical preparations RxNorm SNOMED-CT active ingredient ontology semantic interoperability standardization

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

In this study representation of chemical substances in IDMP is reviewed, with an exploration of aggregation levels for substance used in the virtual drug data models of RxNorm, SNOMED-CT, ATC/INN, and the Belgian SAM database, for products with a single substance and combinations of substances. Active moiety and available solid states forms are explored for diclofenac, amoxicillin, carbamazepine, amlodipine, with regard to their representation in coding systems such as WHODrug, SMS, UNII, CAS, and SNOMED-CT. By counting the number of medicinal products in Belgium for amlodipine in each level of aggregation, concepts for grouper of substances and two levels of grouper of medicinal products are illustrated. Recommendations are made for the further development of IDMP and its link to international drug classifications.

Identifiants

pubmed: 35612100
pii: SHTI220478
doi: 10.3233/SHTI220478
doi:

Substances chimiques

N,N-dimethyl-4-iodophentermine 108731-71-1
Amlodipine 1J444QC288
Phentermine C045TQL4WP

Types de publication

Journal Article Review

Langues

eng

Pagination

377-381

Auteurs

Robert Vander Stichele (R)

Ghent University, Belgium.
European Institute for Innovation through Health Data, Belgium.

Dipak Kalra (D)

European Institute for Innovation through Health Data, Belgium.

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Classifications MeSH