AICA pre-captures every patient's story before they sit down in your room. The doctor opens the consult with a verified summary, three AI flags, and a Hindi+English transcript — not a blank screen.
A 6-minute consult shouldn't have 4 minutes of intake. The receptionist shouldn't be a forms clerk. The doctor shouldn't be a typist. Here's what that actually looks like at noon, in your room.
She asks the same six questions to every walk-in. Patient repeats themselves to her, then again to you. Two people doing intake. Neither doing care.
Four minutes per patient at the desk. Twelve patients = forty-eight minutes of bottleneck. Three of them leave. Two go to your competitor down the road.
You call them in by token order. The chest-pain patient sits behind the BP-refill and the sugar-follow-up. By the time you see him, fourteen minutes have passed.
Patient leaves. You stay. Typing into a register, into a paper file, into your own brain so you remember next time. Two hours of charting after the last patient is gone.
While the patient waits, AICA is gathering their story. Tokens auto-display on a screen. The AI orb does the intake. The pre-consult capsule lands on your screen pre-sorted, with the urgent cases highlighted in red — before you call the next one in.
A receptionist sees three things at once: live queue, doctor availability, the patient's prior history. Onboarding new patients takes 90 seconds via the AI orb. Existing ones, 15.
Patient gives a number. AICA finds them, or starts a new-patient registration via voice. No forms, no typing.
Three doctors, three swipeable columns. See live consult, waiting list, severity scores at a glance. Send next patient with one tap.
Receptionist on-duty, time elapsed, doctors signed in, hand-off to next shift. Live audit of who was at the desk and when.
Patients today, hourly walk-in distribution, top complaints, top medications, repeat vs new ratio, chronic patient enrolment.
Every patient who's ever come to the clinic, searchable. Tap to see history, contact details, and the same-family relationships they've registered.
Receptionist tab to manage the day; admin login from the same panel hops to the doctor portal.
An AI-prepared brief, a live consult timer, a queue you control. Verification quietly building behind the scenes.
Tap "Today's complaint" on the patient's profile. Drop-down opens to a 4-line summary, full Hindi+English transcript, and three AI-flagged risks.
Live timer in sepia-green. Send a patient for tests — pause. Resume on return. Stop & save logs the duration to the queue and the patient record.
One tap to mark yourself unavailable. Receptionist sees a red status pill, the doctor-picker disables you, the duty log records the timestamp.
Skippable during onboarding, but pings until uploaded. Once verified, patients see a verified badge when they search for you.
Identity, conditions, allergies, current meds, vitals from last visit, full encounter history. The whole story, organised, in one screen.
Every paper Rx with your reg number scanned by any AICA pharmacy stacks against your profile. Onboard later — your prescription history is waiting to be claimed.
From walking in, to walking out with a prescription, in five concrete steps. Every step a screen, every screen built.
Reema types Sushma's number, finds her, confirms identity in 10 seconds.
AICA orb captures complaint, duration, severity, history. Hindi+English. Transcript stored.
Auto-routed to Dr. Mehrotra's queue based on speciality and load. Doctor sees her on the queue board.
Drops down the AI summary, sees three flagged risks, starts the timer. Consults in 4 minutes.
Consult time saved against patient record. Queue moves on. Patient walks out with paper Rx that the pharmacy will digitise.
Numbers below are illustrative early-stage targets across pilot clinics. The platform is engineered to deliver these as primary KPIs.
Pehle main har patient ka history puchhta tha. Ab AICA pre-consult open karta hoon — everything's there. Saving four minutes per patient adds up to ten extra patients a day.