About Yanga.Health
The record that belongs to the patient.
In most African care settings, the patient is the record. They carry it in a paper book, update it at each visit, and hand it to the next clinician. Yanga.Health digitizes that logic, not the hospital system.
Mission
Three principles that shape everything we build
01
Patient ownership is not a feature. It is the architecture.
The record lives in the patient's account, not the hospital's database. When the patient moves, gets discharged, or changes clinics, their history moves with them.
02
Trust must be explicit, not assumed.
AI extraction is powerful and imperfect. Every field shows its source page, confidence score, and whether a human has reviewed it. Clinicians are never asked to trust a black box.
03
The phone is the terminal.
In low-resource settings, smartphones are more common than clinic computers. Yanga.Health is built so the capture, review, share, and read workflow works on any phone with a camera.
Founding story
The idea Dr. Mona did not want to lose
The insight
Most African patients already carry the most important medical record in a paper book, and most clinicians already carry a phone. The product should give patients control first, then let hospitals follow.
The founding story came from Dr. Mona's insistence that the first customer is the patient, not the hospital. His point was direct: many African patients already carry the most important medical record in a paper book, and most clinicians already carry a phone.
The conventional approach to healthcare digitization in Africa tries to build EHR systems that mirror what hospitals in high-income countries use: expensive, institution-owned infrastructure that requires hospital-level IT support. That model has failed to reach most patients.
Yanga.Health inverts the model. The record begins with the patient's phone camera. AI structures the raw scans. The patient reviews and controls access. Clinicians get a read-only view with the source documents visible, so they can see exactly what the AI saw and make their own judgment.
"Patients should own their records and be willing to share them with whom they like."
The problem
Healthcare continuity breaks when records stay at the hospital
Records stay where care happened, not where the patient goes next
A patient treated for hypertension at Clinic A arrives at Clinic B with no record. The new provider starts from scratch. Medications are repeated or missed. Diagnoses are re-investigated.
Paper is still the most complete record in many settings
In rural and peri-urban African clinics, the patient's paper book often contains more history than any hospital database. It travels with the patient. The challenge is making it structured and shareable.
EHR rollouts have not reached most patients
Large EHR systems require hospital IT, connectivity, and institutional buy-in that most small and medium clinics cannot sustain. The gap between the hospital and the patient has grown, not shrunk.
AI can extract structure from photos when trust is built in
Vision models can read handwritten lab results, typed prescriptions, and printed discharge notes. The key is showing the clinician exactly what the model saw, with a confidence score and the source image.
Architecture
A serious EHR foundation, not a scanning toy
The current build includes patient authentication, private document storage, an offline upload queue, AI extraction with provenance, structured clinical tables, audit logs, share codes, emergency profiles, and provider verification. The MVP stays lean while preserving the path to full clinic workflows.
Offline-first mobile app
Android. Upload queue survives network loss.
AI extraction with provenance
Every field links to the source page and confidence score.
Patient review + correction
Inline editing. Patients flag what AI got wrong.
Emergency profile
Blood type, allergies, chronic conditions, and emergency contact.
6-character share codes
Single-use, time-limited. Patient generates, provider enters.
Provider verification
Clinicians mark records as reviewed. Trust levels cascade.
Audit log
Patients see who accessed their record and when.
Bilingual
English and French. Designed for Cameroon and francophone Africa.
No EHR integration
Works entirely outside hospital IT. Day-one deployable.
Pilot status
Building in Cameroon. Designing for the continent.
The pilot path starts with patient capture, clinician trust, and provider viewing across clinics in Cameroon. The architecture is designed to expand from a small cohort to multi-clinic deployment without replacing existing hospital systems on day one.
See the demo recordPhase 1
Patient capture + AI extraction
Phase 2
Provider read + trust attestation
Phase 3
Multi-clinic pilot, Cameroon
Phase 4
Public health reporting with consent
Phase 5
FHIR interoperability layer
Ready to see Yanga.Health in action?
Open the demo record or enter a patient share code.