LC Dr. Levi
Services / AI in African Healthcare

AI in African Healthcare (Practical, Safe, Scalable)

AI strategy and deployment for African healthcare: use-case selection, data readiness, governance, bias mitigation, monitoring, and clinical workflow integration.

Best for

Hospitals, startups, NGOs, and programs exploring AI for triage, surveillance, decision support, and operational efficiency.

Outcomes
What you get
  • Prioritized AI use-case pipeline with ROI and feasibility scoring
  • Data readiness and governance plan for safe AI operations
  • Pilot-to-scale execution with monitoring and model drift controls
  • Clinician-centered workflow integration and training
Typical engagement models
  • Diagnostic sprint: assessment + roadmap (2–4 weeks)
  • Delivery project: execution + handover (6–16+ weeks)
  • Fractional advisory: ongoing leadership support
Approach

A practical, stakeholder‑aligned delivery method

This work is designed to reduce execution risk by aligning clinical workflows, implementation realities, and market/procurement constraints—so the solution can scale sustainably.

1) Discovery & constraints mapping
Stakeholder interviews, workflow mapping, current stack review, risk and constraint register.
2) Strategy + architecture decisions
Target operating model, data/interoperability choices, governance, and delivery plan.
3) Implementation & partner coordination
Vendor alignment, milestones, integration planning, change management, and adoption program.
4) Evidence, quality & compliance
Documentation, validation approach, privacy/security basics, and procurement readiness.
5) Scale, monitoring & continuous improvement
MEL metrics, dashboarding, operating cadence, and iteration roadmap.
FAQ

Questions about this service

Next step
Tell me your context and goals

I’ll respond with clarifying questions and a structured proposal—scope, deliverables, timeline, and success metrics.