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
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