One-Liner
A service that pulls discharge instructions, medication changes, and follow-up appointments from an African hospital's system and sends a vernacular WhatsApp voice summary to the diaspora sponsor.
AI Thinking Process
Thread 15: Consented pull from African hospital EHR (Netcare/Mediclinic/Life Healthcare SA; Reddington Nigeria) → vernacular WhatsApp voice summary to diaspora sponsor.
G213 fires: Helium Health (Nigeria), AfyaRekod (Kenya), hello.doctor (SA) occupy hospital EHR. Hospital IT departments are the buyer gate — product becomes B2B2C, not consumer.
Pivot: skip EHR integration, consumer takes photo of discharge letter, AI extracts + summarizes + sets reminders. Zero integration.
G008 frequency trap fires on pivot: discharge happens once, then never for months/years. $5/doc × 500 docs/mo = $2.5K/mo ceiling. Can't sustain subscription.
KILLED. G008 frequency trap confirmed. Even at pivot, episodic frequency makes subscription economics fail and per-use economics too small.
Kill Reason
G008 frequency trap: hospital discharge is an episodic event (once every few months per family member at most). Per-use pricing fails on volume ($5/doc × 500 docs/mo = $2.5K/mo ceiling). Subscription fails on frequency — recurring diaspora pains (fraud monitoring, property monitoring) work because the risk is always-on; discharge documents are one-time episodic events. G213 also fires for the original hospital-EHR-integration version: Helium Health (Nigeria), AfyaRekod (Kenya), hello.doctor (SA) all occupy hospital-side EHR.
Risk Analysis
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