The ISO Identification of Medicinal Products (IDMP) standards — ISO 11238, 11239, 11240, 11615, and 11616 — define a comprehensive framework for representing medicinal product information in a way that is unambiguous, machine-readable, and interoperable across jurisdictions. IDMP compliance is a regulatory requirement for marketing authorisation holders in the European Union and is being adopted progressively by other major regulatory agencies. For most pharmaceutical organisations, IDMP compliance is also the most demanding ontology-aligned data management programme they have ever undertaken.
What IDMP Requires
IDMP requires that each medicinal product be described using a precise data model that references standardised reference data for every relevant attribute: substances using the global substance registration system (GSRS) identifier; organisations using the Organisation Management Service (OMS) identifier; pharmaceutical dose forms and routes of administration using the EDQM standard terms; units of measurement using the UCUM standard; and regulatory identifiers using the Product Management Service (PMS). Every attribute of a medicinal product — from the marketing authorisation holder to the excipient concentrations — must be expressed using a reference data identifier rather than free text.
Why Organisations Without Ontological Foundations Struggle
Organisations that have historically managed product information in free-text fields across disconnected systems face a fundamental mapping problem when implementing IDMP: they must first understand what their existing data actually says before they can map it to IDMP reference data. This reverse-engineering process — auditing free-text fields, resolving synonyms and abbreviations, and identifying the canonical product attributes — is precisely the kind of knowledge harmonisation problem that ontological governance would have prevented. The organisations that find IDMP compliance most achievable are those that already have structured, ontology-aligned product data models and governed reference data management processes.
Ontology-Driven IDMP Implementation
An ontology-driven approach to IDMP implementation starts with mapping internal product data representations to the IDMP data model using formal ontological mappings, rather than ad-hoc ETL transformations. These mappings are explicit, auditable, and reusable across multiple IDMP submission types. When the IDMP standard or the underlying reference data evolves, the mappings can be updated systematically, rather than requiring individual record-by-record review. The governance infrastructure built for IDMP compliance — reference data management, change control, data quality monitoring — also strengthens the foundations for related regulatory data requirements in pharmacovigilance reporting and clinical study data submissions.
