KemiQA integrates 14 specialized knowledge bases — from pharmaceutical intelligence to epidemiological surveillance — delivering structured, AI-ready medical knowledge for Nigeria and sub-Saharan Africa.
14 specialized knowledge bases spanning clinical terminology, pharmaceutical intelligence, healthcare standards, and social determinants — all normalized to international coding standards and adapted for the Nigerian healthcare context.
An agent architecture powered by an open lakehouse, connecting retrieval-augmented generation, MLflow-tracked models, and clinical decision support pipelines across every knowledge domain.
Nigeria-first design with local pharmaceutical data (NAFDAC), national regulatory context, community health workflows, and epidemiological data sources — built for the realities of sub-Saharan Africa healthcare delivery.
KemiQA organizes medical knowledge into four interconnected domains. Each knowledge base is structured through a Bronze-Silver-Gold pipeline, normalized to international standards, and indexed for semantic search.
KemiQA addresses gaps in African healthcare by combining structured knowledge with intelligent systems — built for clinicians, pharmacists, researchers, and health system administrators.
Real-time clinical guidance that adapts to disease outbreaks, local drug availability, and community health conditions — not just international protocols. KemiQA's agent architecture cross-references clinical guidelines, pharmaceutical intelligence, and epidemiological data to surface contextually relevant recommendations for Nigerian primary care.
The Pharma KB powers RxBook with NAFDAC-registered drug data, prescribing hierarchies adapted from the NHS DM+D model, and WHO Essential Medicines List status. Pharmacists and prescribers get drug information grounded in what is actually available and approved in Nigeria.
Over 300,000 drug-drug interaction pairs and 745,000 adverse drug effect associations — sourced from OnSIDES, TWOSIDES, SemMedDB, and MED-RT — enable proactive safety checking at the point of prescribing and dispensing.
AI-guided audit workflows for healthcare organizations pursuing accreditation, with knowledge-base-backed clinical guideline and SOP development. KemiQA's Standards KB provides structured access to healthcare quality standards for evidence-based QA auditing.
The Projects & Funding KB tracks active grants from NIH, Gates Foundation, WHO, and TETFund — matching funding opportunities to institutional research priorities and surfacing potential collaborators across the global health research network.
Integrating supply chain data, disease surveillance, EMR records, epidemiological trends, and weather — a unified intelligence layer for community health programs. (Coming soon as a dedicated platform product.)
Two products demonstrate KemiQA's knowledge infrastructure in production.
The Nigerian pharmacist's intelligence platform. RxBook brings KemiQA's Pharma KB to the point of dispensing — NAFDAC-registered drug search, prescribing hierarchy, drug interaction alerts, and adverse effect data. Used by pharmacists and prescribers across Nigeria.
EHA's clinical platform for integrated care delivery. EHA Care uses KemiQA for clinical decision support, pharmaceutical intelligence at the point of care, and QA audit workflows — purpose-built for EHA Clinics' network of primary care facilities across Nigeria.
KemiQA processes data from over 20 international and Nigerian sources through a structured open lakehouse architecture — producing a unified, queryable medical knowledge layer that powers tools, agents, and workflows.
Raw data from pharmaceutical registries, clinical coding standards, research databases, and epidemiological feeds flows into the Bronze layer. Automated pipelines clean, normalize, and validate each source — every table catalogued with full schema lineage in Unity Catalog.
The Silver-to-Gold pipeline links entities across knowledge bases: drugs cross-referenced to SNOMED CT, ICD codes, ATC classifications, and WHO lists; clinical guidelines linked to terminology concepts; epidemiological data geo-indexed and weighted by proximity. MLflow tracks every model and transformation.
Gold tables feed vector search indexes for semantic retrieval. An agent architecture built with Pydantic AI orchestrates knowledge retrieval across domains — delivering answers grounded in structured, traceable, provenance-tracked knowledge rather than unverified model weights.
KemiQA is building the infrastructure layer for African health AI — from community pharmacy to mental health to research enablement.
A unified intelligence platform combining supply chain data, disease surveillance, EMR records, epidemiological trends, and weather — context-aware monitoring for community health programs across Nigeria.
Rigorous evaluation systems for AI-assisted clinical tools — ensuring every KemiQA-powered recommendation is measurably useful, safe, and impactful in resource-limited settings.
Research project intelligence embedded directly in EHA Care — enabling clinicians to connect patient care with funding opportunities, active research programs, and collaboration networks.
Speech-based clinical decision support for community health workers — mental health screening and guidance in local languages, designed for community health extension workers (CHEWs) in low-connectivity settings.
AI-powered mobile tools for community pharmacies (PPMVs) — combining primary care clinical decision support and speech interfaces to bring pharmaceutical intelligence to Nigeria's last-mile healthcare providers.
KemiQA is a project of eHealth Africa. If you're a health informatics professional, researcher, or technology partner working in African healthcare, we'd love to hear from you.