Venture 01 · In-house · In development
A clickable prototype for small Indian OPD clinics. It connects simulated ABHA-based intake, consultation, bilingual e-prescriptions, GST and UPI billing, WhatsApp reminders, a consented patient record and clinic-owner visibility. A source-linked patient context model is the next phase.
The problem
Registration, consultation, prescribing, billing and follow-up run on different books, apps and staff. Context is lost between them.
The thesis
A visit should move as one thread. The clinician stays with the patient, and the owner sees the whole day at a glance.
The workflow
Scan-and-share style intake collects patient context before the visit begins.
One thread carries context, deltas since the last visit and missing-information flags into the consultation.
A draft is generated for the clinician to review; nothing leaves the room without approval.
Billing and receipts come from the same visit thread, not a separate ledger.
Follow-ups are queued from the visit record with explicit patient consent.
The record is written back to a consented store, owned by the patient, visible to the clinic owner.
All external integrations shown above are simulated in the current prototype.
The AI direction
We say "patient context model", not "digital twin", because the prototype is a simulated workflow rather than a predictive patient representation.
Human control
Drafts assist; they do not decide. Every prescription, summary and downstream instruction is reviewed before it leaves the room.
Trust
Evidence
Bring us the problem that crosses product, AI and operations. We start with a diagnosis.
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