5 Best APIs for Healthcare in Nigeria

mCarePoint is a Nigerian telehealth platform providing remote medical consultation and healthcare services. The API enables integration with consultation services, doctor networks, and health information. Features include doctor matching, appointment booking, and health record management. Ideal for Nigerian health applications requiring telehealth integration.

FHIR (Fast Healthcare Interoperability Resources) is not a single hosted API but an open international standard published by HL7 International for exchanging healthcare information electronically. FHIR defines a common data model and REST API specification for healthcare data — essentially specifying how patient records, diagnoses, medications, lab results, and clinical encounters should be structured and exchanged between different healthcare systems. Any healthcare software that implements the FHIR standard can exchange data with any other FHIR-compliant system, regardless of vendor or platform — making it the foundation for healthcare interoperability globally. **What FHIR Is and Does** FHIR defines a library of data types called "Resources." Each resource represents a discrete piece of clinical information: - **Patient**: Demographic information, identifiers, contacts, language preferences - **Encounter**: Clinical encounters (outpatient visit, inpatient admission, emergency visit) - **Observation**: Vital signs, laboratory results, social history, clinical assessments - **Condition**: Diagnoses and problems on a patient's problem list - **Medication / MedicationRequest**: Medications and prescriptions - **Procedure**: Clinical procedures performed - **Immunization**: Vaccination records - **DiagnosticReport**: Lab and imaging reports - **Claim / ExplanationOfBenefit**: Insurance claims and adjudication - **Coverage**: Health insurance coverage information - **Practitioner / Organization**: Healthcare provider information - **Location**: Physical healthcare facilities The FHIR REST API uses standard HTTP methods: GET to read a resource, POST to create, PUT to update, DELETE to remove. Resources are identified by a URL with a type and ID: `[base]/Patient/123`. **FHIR Versions** FHIR has evolved through several versions: - **DSTU2 (R2)**: Legacy; still in use in some systems - **STU3 (R3)**: Widely deployed in older systems - **R4**: Current standard; most new implementations target R4 - **R5**: Latest; released 2023; gradual adoption For new projects in Nigeria, implement FHIR R4. **SMART on FHIR** SMART on FHIR (Substitutable Medical Applications, Reusable Technologies) extends FHIR with a standardized OAuth 2.0 authorization framework for clinical applications. A SMART app can be launched from inside an EHR and request specific FHIR scopes (e.g., patient/Observation.read) with explicit patient consent. This is the standard for building EHR-embedded clinical apps. **Public FHIR Test Servers** For development, several public FHIR test servers are available for free: - **HAPI FHIR**: hapi.fhir.org — the most popular open-source FHIR server, available publicly for testing. R4 endpoint: `https://hapi.fhir.org/baseR4` - **SMART Health IT Sandbox**: sandbox.smarthealthit.org — SMART on FHIR sandbox with pre-loaded patient data - **Azure API for FHIR**: Microsoft offers a managed FHIR service with a free tier These servers contain synthetic patient data and can be used to prototype FHIR integrations without any real patient data or production agreements. **FHIR in Nigeria's Health Ecosystem** Nigeria's health information systems have historically been fragmented. Patient data is siloed in individual hospitals, often on paper or in incompatible electronic systems. This creates significant challenges for: - Patient referrals between facilities (no shared record) - Continuity of care (a patient's history is unknown when they visit a new facility) - Public health surveillance (NCDC cannot aggregate real-time case data from all facilities) - Health insurance (NHIS/HMOs cannot verify claims against actual clinical records) FHIR adoption in Nigeria is growing through several initiatives: - Federal Ministry of Health digital health policies advocating FHIR adoption - Nigerian health IT vendors (LifeBank, Helium Health, MDaaS Global) implementing FHIR interfaces - Global health programs (PEPFAR, CDC Nigeria, WHO) requiring FHIR-compliant data sharing - NDPR (Nigeria Data Protection Regulation) compliance enabled through FHIR's consent management resources **Nigerian Health Tech Use Cases** FHIR enables several high-impact applications for the Nigerian context: 1. **Patient Summary at Referral**: When a general hospital refers a patient to a specialist, a FHIR-based referral document (containing Condition, Medication, Observation resources) can be electronically transmitted to the receiving facility — eliminating paper referral letters that are frequently lost. 2. **Lab Result Delivery**: A laboratory information system sends FHIR DiagnosticReport resources to a patient's FHIR-enabled health app when results are ready — enabling electronic delivery of lab results rather than physical paper collection. 3. **NHIS Claims Processing**: Standardize insurance claims submission using FHIR Claim resources — enabling HMOs to programmatically validate clinical data against coverage terms. 4. **Immunization Registry**: Track vaccination records using FHIR Immunization resources across all facilities in a state, enabling NPHCDA (National Primary Health Care Development Agency) to query vaccination coverage by LGA. **Implementation Considerations** Implementing FHIR in Nigeria requires: 1. A FHIR server — either open-source (HAPI FHIR) or cloud-hosted (Azure, AWS HealthLake) 2. Data mapping from existing systems to FHIR resource formats 3. Authentication via SMART on FHIR for patient-facing apps or system-level trust for facility-to-facility exchange 4. Nigerian identifier support: NIN (National Identification Number) and health facility codes as FHIR identifier systems **Company Background** FHIR is published by HL7 International (Health Level Seven International), a not-for-profit standards development organization founded in 1987. HL7 is headquartered in Ann Arbor, Michigan, USA, and operates as a global volunteer community of healthcare IT professionals. FHIR was created by Grahame Grieve and first published in 2012, rapidly becoming the dominant healthcare interoperability standard globally. FHIR is the right foundation for any serious Nigerian health tech company building systems that need to exchange clinical data across organizational boundaries.

HealthPlus Wellness API enables integration with HealthPlus telemedicine and healthcare platform in Nigeria. The service provides access to doctor consultations, health records, and medical services. Features include appointment scheduling, prescription management, and health data storage. Ideal for Nigerian health apps and telemedicine integrations.

The Nigerian Federal Ministry of Health (FMOH) Data API provides access to public health statistics, disease surveillance data, health facility information, immunization coverage metrics, and public health program outcomes across Nigeria. Nigeria's population of over 220 million people and its complex public health landscape — managing endemic diseases like malaria and tuberculosis alongside emerging infectious disease threats — make FMOH health data critical infrastructure for healthcare planning, research, and digital health applications. Disease surveillance data from the Nigeria Centre for Disease Control (NCDC), operating under FMOH oversight, tracks case counts, outbreak alerts, and epidemiological curves for notifiable diseases including malaria, cholera, Lassa fever, meningitis, monkeypox, and COVID-19. Real-time disease reporting from the Integrated Disease Surveillance and Response (IDSR) system aggregates reports from state public health laboratories and sentinel surveillance sites. For Nigerian public health dashboards and epidemic intelligence tools, this surveillance data provides the early warning signals that epidemiologists and health authorities need to respond rapidly to outbreak events. Health facility data maps Nigeria's healthcare infrastructure across the three tiers: primary health care centers (PHCs), secondary health facilities (general hospitals), and tertiary institutions (teaching hospitals and specialist centers). The National Health Facility Registry maintained by FMOH contains over 30,000 registered facilities with location coordinates, service availability, operational status, and ownership type (federal, state, LGA, private). For telemedicine platforms and health directory apps, facility data powers patient-to-facility matching services that help Nigerians find appropriate nearby care. Immunization coverage statistics track vaccination rates for childhood immunizations (BCG, OPV, DPT, measles) and supplementary immunization activities (SIAs) at state and LGA levels. For public health organizations running vaccination campaigns in Nigeria — particularly those targeting states with historically low coverage — immunization data identifies priority areas and measures campaign impact over time. Vital statistics including birth registrations, mortality data, and cause-of-death information are compiled by FMOH from state health management information systems. Nigeria's civil registration coverage has historically been incomplete, but digital health programs are improving data quality. Researchers and NGOs working on maternal and child health in Nigeria rely on FMOH vital statistics as the official primary source for health indicator monitoring. Nigerian pharmaceutical companies, hospital systems, and healthcare NGOs can use the Ministry of Health API to access authoritative morbidity and mortality statistics that inform resource allocation, medical procurement planning, and intervention targeting. The disease surveillance data enables early warning systems for outbreak detection, allowing health applications to display alert information when disease incidence in specific Nigerian states or local government areas rises above baseline thresholds. Public health researchers at Nigerian universities and research institutes benefit from API access to longitudinal health data that would otherwise require time-consuming manual extraction from ministry publications. International health organizations including WHO, UNICEF, and bilateral health development programs use Nigerian Ministry of Health data as the baseline for program design, monitoring, and evaluation, and machine-readable API access supports more efficient data integration into their planning and reporting systems.

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.