Yanga.Health
Patient-owned medical records for paper-first care settings.
Patients scan hospital books, prescriptions, lab reports, and discharge notes with a phone camera. Yanga.Health structures the record, keeps the source visible, and lets the patient share it with a short code.
Patient record loop
Capture. Structure. Review. Share.
Phone capture
Extracted
Medication, lab, diagnosis
Provider view
Patient-controlled chart
Medication
Metformin 500 mg BID
Lab result
HbA1c 7.8% high
Source
Lab report page visible
Trust state
Source
Review
Share
Record owner
Patient
The chart starts in the patient's account, not inside a hospital system.
First workflow
Capture
Paper books, lab reports, prescriptions, and discharge notes enter by phone camera.
Trust model
Source linked
Each extracted field keeps the original page, confidence state, and review status.
Provider access
Short code
Clinicians read the shared record in a browser without a local IT integration.
Who it's for
Built for patients and the clinicians who care for them
Your records. Your control.
Photograph your paper lab results, prescriptions, and hospital books. The app structures them, lets you review them, and gives you a code to share at your next visit.
See the record a patient trusts you with.
A patient's 6-character code opens a read-only record showing medications, diagnoses, labs, and the source documents behind every extracted field.
Record loop
From paper to patient-controlled access
The record begins with the patient, not the hospital system. Paper documents become structured data, then the patient decides when a clinician can read them.
How it works
Built around the patient record
The current architecture already includes patient authentication, private document storage, an offline upload queue, AI extraction, structured clinical tables, audit logs, share codes, emergency profiles, and provider verification. The MVP stays lean while preserving the path to clinic workflows, public health reporting with consent, and future interoperability.
Step 1
Patient scans
A patient or clinic assistant photographs lab results, prescriptions, immunization cards, discharge notes, and hospital book pages with an Android phone.
Step 2
AI structures the record
A vision model extracts medications, labs, diagnoses, allergies, visits, and summaries. Every field keeps its source page and confidence score.
Step 3
Patient reviews
The patient reviews the record, corrects errors, and keeps an emergency profile for blood type, allergies, chronic conditions, medications, and contact information.
Step 4
Provider reads
At the visit, the patient generates a short, time-limited code. The clinician reads the record on any phone or computer, without hospital IT integration.
Trust layer
Clinical trust layer
Yanga.Health does not ask clinicians to trust a black box. The provider view keeps source images visible, labels AI-only fields, flags low-confidence extractions, and separates patient-reviewed data from provider-verified data.
See it in the demoOriginal image
Every extracted field keeps a link back to the captured source page.
Confidence score
Low-confidence extractions are flagged before they influence care.
Human attestation
Patients review entries. Providers can mark a snapshot as verified.
Provider view
A. Example
Medication
Metformin 500 mg BID
Lab result
HbA1c 7.8% high
Trust
Source visible
Source-first viewer
A clinician can see what the model saw.
The provider view keeps source images visible, labels AI-only fields, flags low-confidence extractions, and separates patient-reviewed data from provider-verified data.
Clinical document operations
Paper in. Verified record out.
Yanga.Health treats every scan as part of a traceable clinical workflow. Each document moves from capture to extraction, patient review, provider access, and audit history without requiring a hospital integration.
01
Capture
Photograph paper records on Android, even before the network is reliable.
02
Extract
Convert prescriptions, labs, allergies, diagnoses, and notes into structured fields.
03
Verify
Show source images, confidence levels, patient review, and provider verification.
04
Deliver
Open a read-only provider view with a short code, then record the access event.
Provenance
Every clinical field links back to the page it came from.
Auditability
Share redemption and verification events are visible to the patient.
Clinical caution
Low-confidence AI fields remain visible until a human reviews them.
Why it matters
"Many 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."
Dr. Mona, founding advisor
Paper records
many patients carry their health history in hospital books, prescriptions, and lab reports
Paper to structured
AI converts photos of lab reports, prescriptions, and discharge notes into searchable clinical fields
No IT required
Works through phone cameras and short share codes, without hospital system integration
Get the app
Patients use the Yanga.Health mobile app
Available on Android. Patients capture paper records with the phone camera, review AI extractions, manage an emergency profile, and generate share codes for providers.
Get it on
Google Play
Coming soon
App Store
Providers use the web viewer, with no app download required.
Capture any paper record
Lab results, prescriptions, discharge notes, immunization cards
AI extracts the structure
Medications, diagnoses, labs, allergies, with source links and confidence scores
Patient reviews and corrects
Inline editing keeps the patient in control of their data
Share with a 6-character code
Time-limited, single-use codes. The patient decides who sees what.
Try it now
See a demo record
Open a fictional record to see the provider experience, including emergency profile, medications, diagnoses, lab flags, provenance, and trust badges. No real patient data is used.
Provider access
For providers
If a patient gives you a Yanga.Health code, enter it below to view the record they chose to share. The viewer is read-only and shows the source documents behind extracted fields.
Read-only
No edits, no storage on your end
Source-linked
See the original scanned page
Time-limited
Codes expire after use
Codes are single-use and expire after a short window. If the code is already used or expired, ask the patient to generate a new one.
Enter the patient's 6-character code
Demo code: DEMO01
The founder 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 product should give patients control first, then let hospitals and doctors follow the record when the patient chooses to share it.
Patients should own their records and be willing to share them with whom they like.
Architecture
A serious EHR foundation, not a scanning toy
Pilot status
The current architecture already includes patient authentication, private document storage, an offline upload queue, AI extraction, structured clinical tables, audit logs, share codes, emergency profiles, and provider verification. The MVP stays lean while preserving the path to clinic workflows, public health reporting with consent, and future interoperability.
The pilot path starts with patient capture, clinician trust, and provider viewing across Cameroon. The product is built to expand from a small cohort to multi-clinic deployment without replacing existing hospital systems on day one.
Explore the demo