Savannah Health System Innovation Limited, as part of a targeted technical assistance to the Government of Nigeria to strengthen health information systems and build data-driven resilience, is making a Request for Quotation (RFQ) from qualified firms and individual consultants for the Development of an Integrated Health Data Platform with AI-Enhanced Analytics in Abuja (FCT). Interested consultants should possess relevant qualifications and experience.
Savannah Health System Innovation Limited is a creative systems product development company focused on delivering creative and bespoke services to its client. Our success is founded on our responsive and collaborative approach to providing solutions; extensive experience; and commitment to integrating the customer into all stages of the product development life-cycle.
Applications are invited for:
Title: Request for Quotation (RFQ) for the Development of an Integrated Health Data Platform with AI-Enhanced Analytics
Location: Abuja (FCT)
Type: Contract
Description
- As part of a targeted technical assistance to the Government of Nigeria to strengthen health information systems and build data-driven resilience, we invite qualified firms and individual consultants to submit technical and financial proposals for the design and development of a comprehensive digital health platform.
Scope of Work
The successful vendor will deliver an end-to-end system comprising:
Mobile Data Collection Application:
- A secure, offline-first mobile app (Android/iOS) supporting up to 18 standardized health forms (e.g., maternal morbidity, child nutrition, GBV, immunization).
- Role-based access, GPS validation, media capture (photos/audio), and seamless sync when connectivity resumes.
Centralized Web Portal:
- A responsive, user-friendly web interface for data entry (where mobile is not feasible), user management, form configuration, and system administration.
- Integration with existing government systems (e.g., DHIS2, NCDC platforms) where applicable.
Real-Time Analytics Dashboard:
- Interactive dashboards with dynamic visualizations (maps, trend charts, alerts) for decision-makers at ward, LGA, state, and national levels.
- Drill-down capabilities by geography, time, and indicator.
AI-Enabled Decision Support Features:
- Implementation of lightweight AI/ML models to:
- Flag anomalies or outbreak signals
- Predict reporting gaps or data quality issues
- Generate automated insights for routine review meetings.
Key Requirements
- Solutions must be scalable, secure, and interoperable with Nigeria’s national health architecture.
- Emphasis on usability in low-resource, low-connectivity settings.
- All deliverables must include technical documentation, training materials, and handover support.
Application Closing Date
4th December, 2025.
Submission Guidelines
Proposals should include:
- Technical approach and methodology
- Team qualifications and relevant experience (especially in public health or government projects in Nigeria)
- CAC Registration Documents
- Realistic timeline and work plan
- Detailed budget (quoted in NGN) that reflects value for money without compromising quality.
Interested and qualified individuals or organisations should send their proposal documents to: careers@savannahinnovations.com using "RFQ: Development of an Integrated Health Data Platform with AI-Enhanced Analytics" as the subject of the email.
Note
- Kindly note that only submissions which highlight similar experiences will be considered.
- Additional clarifications can be sent to the email address no later than the date of publication of the advert.