DEADLINE: 16TH JUNE, 2025
GEORGETOWN GLOBAL HEALTH NIGERIA (GGHN)
REQUEST FOR PROPOSAL (RFP) FOR DIAGNOSTIC NETWORK OPTIMIZATION (DNO) USING MACHINE LEARNING APPROACHES
RFP REFERENCE NUMBER: GGHN/DNO/01

1. Introduction
The Georgetown Global Health Nigeria (GGHN) is a Non-profit, Non-Governmental Organization that promotes best practices in health care delivery and research using local and internationally adapted models to strengthen health systems.

We are seeking proposals from qualified consultancy firms to implement a Diagnostic Network Optimization (DNO) project in Nigeria. The project aims to leverage machine learning (ML) to design dynamic, resilient, and cost-effective diagnostic networks for priorits diseases (HIV, TB, Malaria, etc.) by integrating real-time and contextual data.

2. Project Objectives
1. Dynamic Optimization Framework: Develop an ML-driven model to adapt diagnostic networks in real-time based on demand forecasts, resource availability, or contextual factors (e.g., environmental disruptions, equipment failures).

2. Resilient Network Design: Create a scalable diagnostic network system that addresses current inefficiencies and future healthcare needs in Nigeria.

Key outcomes:

  • Improved diagnostic service utilization, turnaround times, and geographic coverage.
  • Enhanced cost-effectiveness and workforce efficiency.

3. Scope of Work
The selected firm will:

  • Data Collection & Integration: Gather and harmonize data from diagnostic facilities, disease surveillance systems, demographics, and environmental sources.
  • Predictive Modeling: Develop ML models to forecast diagnostic demand and optimize resource allocation.
  • Network Optimization: Apply algorithms to design an adaptive diagnostic network.
  • Stakeholder Engagement: Deliver GIS-based dashboards and reports for decision makers.

Focus Diseases: HIV, TB, Malaria, and other priority diseases in Nigeria.

4. Deliverables
1. Inception report (including methodology and work plan).

2. Cleaned, integrated datasets and ML, model documentation.

3. Dynamic optimization framework with real-time adaptation capabilities.

4. Final report with recommendations for scalable implementation.

5. Interactive dashboards for stakeholder use.

5. Eligibility Criteria
Consultancy firms must meet the following:

  • Experience: Minimum 5 years in healthcare project management, preferably in LMICs/Nigeria.
  • Technical Expertise: Proven ability in ML, data analytics, and diagnostic network evaluations.
  • Compliance: Valid company registration (CAC), tax clearance (last 3 years), and regulatory certifications (ITF, PAYE).
  • Local Knowledge: Understanding of Nigeria’s healthcare landscape and cultural mances.

6. Submission Requirements
Proposals must include:

1. Technical Proposal:

  • Firm profile, relevant experience, and CVs of key team members.
  • Detailed methodology, work plan, and risk mitigation strategies.

2. Financial Proposal:

  • Budget breakdown (in NGN) with payment milestones.

3. Compliance Documents:

  • Details of completion of similar type of services undertaken in the last Three years
  • Registration Certificate (CAC Certificate)
  • Article of Association
  • Memorandum of Association.
  • Tax Clearance Certificate

7. Evaluation Criteria
Proposals will be scored based on:

  • Technical Approach (40%): Feasibility, innovation, and alignment with objectives.
  • Experience (30%): Past projects, expertise in ML/healthcare, and local context understanding.
  • Cost-Effectiveness (20%): Budget realism and value for money.
  • Compliance (10%): Documentation completeness.

8. Terms & Conditions

  • The Request for Proposal is not and shall not be considered an offer by GGHN.
  • All responses must be received on or before the date and time indicated on the RFP.
  • All late responses will be rejected.
  • All unresponsive responses will be rejected.
  • All proposals will be considered binding offers. The prices proposed must be valid for the entire period provided by the respondent.
  • All awards will be subject to GGHN contractual terms and conditions and contingent on the availability of donor funding.
  • GGHN reserves the right to accept or reject any proposal or cancel the solicitation process at any time and shall have no liability to the proposing organizations submitting proposals for such rejection or cancellation of the request for proposals.
  • GGHN reserves the right to accept all or part of the proposal when the award is provided.
  • All information provided by GGHN in this RFP is offered in good faith. Individual items are subject to change at any time, and all bidders will be notified of any changes.
  • GGHN is not responsible or liable for any use of the information submitted by bidders or for any claims asserted from that place.
  • GGHN reserves the right to require any bidder to enter a non-disclosure agreement.
  • The bidders are solely obligated to pay for any costs of any kind whatsoever which may be incurred by the bidder or any third parties relating to the Response. All responses and supporting documentation shall become the property of GGHN, subject to claims of confidentiality in respect of the response and supporting documentation, which has been clearly marked confidential by the bidder.

10. Contact Information
Submission and inquiries:
All proposals should be sent vía soft copy to bidprocurement@gghnigeria.org and addressed to:

The Procurement Officer
Georgetown Global Health Nigeria (GGHN)
No. 2 Babatope Ajakaiye Crescent
Jahi District, Jahi, Abuja.

BIDS DUE NO LATER THAN 4 P.M. EST, June 16, 2025

Note: Late submissions will not be considered.

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