Current Experiments
The work below represents active tests of ideas that do not yet fit inside existing healthcare systems.
They are designed to generate learning, surface constraints, and clarify what must change before new models of care can responsibly scale.
Pop-Up Medical Clinics
Referral Infrastructure
Referral Infrastructure
Status: Active pilot
A field experiment exploring how primary care, triage, and follow-up can function in low-resource settings without relying on traditional clinic models.
What we are testing:
- AI-assisted intake and triage
- Continuity of care without fixed infrastructure
- Language, trust, and follow-up outside institutional settings
Referral Infrastructure
Referral Infrastructure
Referral Infrastructure
Status: Concept validation
An exploration into whether AI can improve the quality, appropriateness, and transparency of physician referrals.
What we are testing:
- Whether AI can pre-qualify referrals more effectively than existing systems
- Whether specialists value fewer, higher-quality referrals
- Whether patients will opt into clearly defined private pathways when offered transparently