National primary-care networks are intended to coordinate facilities, community outreach and referrals. Nairobi-specific workflow research can identify where people fail to complete the next step in an existing care pathway.
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THE PLACE BEHIND THE OPPORTUNITY
Editorial thesis: Nairobi's opportunity lies in making already-connected systems work better for everyday users. Focus on affordability, service completion and financial resilience, with public institutions and informal businesses participating in the design.
Nairobi has a published climate action plan spanning 2020–2050 and a county food systems strategy for 2022–2027. In its August 2024 food-systems update, the county explicitly discusses coordination across markets, nutrition, environment, planning and information technology, alongside work on food traceability. This creates an unusually concrete research starting point: follow food and resources through the actual city system, identify which organisation owns each handoff, and test a service against the county's stated access and safety objectives. A strategy is evidence of policy direction, not proof of funded procurement.
Visuals reproduce the cited signal, including its original scope. Rounded unit graphics are reading aids; the displayed figure and source definition govern the claim.
03 / FOLLOW THE SYSTEM
Where Nairobi can begin.
A proposed operating map for health & care. Read the handoffs before choosing a product to build.
Health system
01
Find & afford care
02
Navigate & schedule
03
Treat safely
04
Coordinate follow-up
05
Reimburse & evaluate
THE BUYER QUESTION
Licensed provider networks and authorised health programme managers; patients and community health workers are co-design participants, not an assumed source of subscription revenue.
THE EXPERIMENT
With institutional approval, follow one non-emergency referral pathway across a small group of facilities. Offer an assisted phone option and record reasons for non-completion.
Read the complete value chain
Find and afford care
Navigate and schedule
Deliver safe treatment
Coordinate follow-up
Reimburse and evaluate
Editorial system map derived from the research brief. The sequence is a framework for discovery, with no claim that a Pheonix programme, customer or pilot is operating.
National primary-care networks are intended to coordinate facilities, community outreach and referrals. Nairobi-specific workflow research can identify where people fail to complete the next step in an existing care pathway.
RESEARCH HYPOTHESIS · TO VALIDATE LOCALLY
The opportunity
Hypothesis: consent-based referral reminders and a staff-facing completion register could improve navigation between community care and a participating clinic, without introducing automated diagnosis.
An impact claim should survive a difficult question. Design the measurement before you design the success story.
01
Establish the baseline
Start in Nairobi. Define the people, geography and existing service before measuring a change.
02
Run a bounded pilot
Use the proposed experiment above as a starting question. Agree the local scope, duration, comparison and safeguards before beginning.
03
Compare the outcome
Ask what would have happened otherwise. Compare like with like and record how much uncertainty remains.
WHAT TO MEASURE
The outcome ledger
LOCAL OUTCOME MEASURE
Track completed appointments, time to appropriate follow-up, patient travel cost and staff administrative time; compare against a pre-pilot baseline.
↳
Keep the counter-evidence.
Confirm current health-data rules and interoperability requirements. Protect consent and identifiers, establish clinical escalation and avoid duplicating the public record system.
Proposed measurement pathway. No baseline, pilot result, participant count or achieved impact is being reported in this diagram.
PUT IT IN PERSPECTIVE
The global market context.
WHO and the World Bank’s 2025 monitoring report estimates that 4.6 billion people lacked essential health-service access in 2023. Financial hardship estimates refer to 2022; publication year does not make either indicator a 2025 observation.WHO / World Bank
WHO’s health-AI regulatory considerations emphasise safety, effectiveness, data quality and lifecycle oversight. A workflow improvement does not establish that an algorithm is clinically safe or approved for a diagnostic use.World Health Organization
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