1 Best APIs for ICD-10/ICD-11 Mapping in Nigeria

SNOMED CT (Systematized Nomenclature of Medicine — Clinical Terms) is the world's most comprehensive, multilingual clinical healthcare terminology, containing over 350,000 active clinical concepts covering diseases, clinical findings, procedures, anatomical structures, organisms, substances, pharmaceutical products, and healthcare activities. SNOMED CT is maintained by SNOMED International, a not-for-profit organization with members from over 40 countries. The SNOMED CT Browser API provides free programmatic access to browse, search, and traverse the terminology hierarchy — making it accessible to developers building clinical documentation systems, disease surveillance platforms, and health data analytics tools. **What SNOMED CT Is and Does** SNOMED CT is not just a flat list of medical terms — it is a sophisticated ontology with formal logical definitions and relationship hierarchies. Each concept has: - **A unique SCTID** (SNOMED CT Identifier): A globally unique numeric code - **A Fully Specified Name (FSN)**: Unambiguous clinical description - **Preferred terms**: Shorter clinical display terms - **Synonyms**: Alternative acceptable terms - **Relationships**: Formal logical relationships to other concepts (Is-a, Finding site, Associated morphology, Causative agent, etc.) This hierarchical, relational structure enables powerful clinical reasoning. For example, "Type 2 diabetes mellitus" is a subtype of "Diabetes mellitus" which is a subtype of "Endocrine, nutritional and metabolic diseases" — the hierarchy is traversable programmatically, enabling subsumption queries (find all patients with any type of diabetes, not just a specific coded entry). **SNOMED CT Browser API** The SNOMED CT Browser API is provided by SNOMED International at browser.ihtsdotools.org. It enables: - **Concept search**: Full-text search returning matching SNOMED CT concepts with their SCTID, FSN, and preferred term - **Concept details**: Retrieve all properties, relationships, and descriptions for a specific concept - **Hierarchy navigation**: Get parent and child concepts (Is-a relationships) - **Description lookup**: Search by description text - **Translation lookup**: Get concept descriptions in other languages - **FHIR CodeSystem endpoint**: The Browser exposes a FHIR R4 CodeSystem endpoint for FHIR-compatible systems **Licensing — Critical Consideration for Nigerian Developers** SNOMED CT has a licensing model that Nigerian developers must understand before implementing: - **Development/Browsing**: Using the SNOMED CT Browser API for development, research, and browsing is free and requires no license - **Production Deployment**: Embedding SNOMED CT data (concept codes, descriptions) in a production clinical system requires a license from SNOMED International - **Member Country License**: Organizations in SNOMED International Member countries get automatic licenses through national agreements - **Affiliate License**: Organizations in non-member countries (including Nigeria, which is not a current Member) can apply for an Affiliate License — this is **free** for healthcare providers and academic/research use, and **free for Low and Middle Income Countries (LMICs)** including Nigeria for non-commercial deployments Nigerian health tech companies should: 1. Register as an Affiliate Member at snomed.org/licensing 2. Apply for the LMIC free license if the deployment is non-commercial healthcare delivery 3. Contact SNOMED International for commercial licensing terms if building a commercial health IT product **Clinical Coding Benefits for Nigeria** Nigeria's health information systems suffer from inconsistent disease coding. Different hospitals code the same diagnosis differently, making aggregation impossible. Implementing SNOMED CT: 1. **Standardizes disease coding** across facilities using globally recognized codes 2. **Enables cross-facility analytics** — NCDC can aggregate case counts for any SNOMED-coded condition across all contributing facilities 3. **Supports ICD translation** — SNOMED CT maps to ICD-10 and ICD-11, enabling conversion to the coding standard used for official disease statistics (ICD) 4. **Reduces clinical ambiguity** — "Malaria" in SNOMED CT has a specific SCTID (61462000) that distinguishes it from "Plasmodium falciparum malaria," "Malaria in pregnancy," or "Cerebral malaria" **Nigerian Disease Context** SNOMED CT's comprehensive coverage includes the diseases most prevalent in Nigeria: - Malaria (multiple specific subtypes including cerebral malaria, uncomplicated malaria, P. falciparum vs P. vivax) - HIV/AIDS with full complication spectrum - Tuberculosis (including drug-resistant TB) - Typhoid fever - Lassa fever and other viral hemorrhagic fevers - Sickle cell disease (with hemoglobin subtype specificity) - Hypertension, diabetes mellitus, cardiovascular diseases - Maternal and neonatal conditions This disease coverage makes SNOMED CT genuinely applicable to Nigerian clinical documentation rather than just US/European disease profiles. **Integration with FHIR** SNOMED CT integrates seamlessly with FHIR: FHIR's Condition resource uses SNOMED CT codes as the preferred coding system for diagnoses. A FHIR Condition resource coded with SNOMED CT can be queried, aggregated, and reasoned about using SNOMED's concept hierarchy — enabling subsumption searches across all subtypes of a given condition. **Company Background** SNOMED International is headquartered in London and operates as the governing body for SNOMED CT globally. It was established in 2013 from the consolidation of IHTSDO (International Health Terminology Standards Development Organisation) and SNOMED, Inc. Members include national health ministries and IT organizations from the US, UK, Australia, Canada, EU countries, and many others. The organization provides open-access tools, educational resources, and a free browser for development use. SNOMED CT is the most powerful clinical terminology available and is the right choice for Nigerian health tech companies building clinical systems that require rigorous, internationally recognized disease and procedure coding.