Run a diabetes clinic and you write the same visit all day: sugars, weight, BP, a medication tweak, the next review date. AI Medical Scribe is one module inside Practice Copilot, the platform Patient Square builds. It listens during the visit and hands back a structured SOAP note, ICD-10 suggestions, and a prescription draft, ready to review and sign about two minutes after the visit. It hears Hindi, Hinglish, and 20-plus Indian languages; the note always comes out in clean clinical English. Pricing starts from ₹1,599 per doctor per month on the annual Assist plan, plus 18% GST (about ₹1,887 all-in), with unlimited visits and no per-note metering. Copilot and Autopilot add a bundled AI EHR, WhatsApp, and receptionist and follow-up automation as you move up.
That last part matters more in diabetology than almost anywhere else, because your patients come back. Every month, for years.
Key takeaways
- India has an estimated 101 million people with diabetes (ICMR-INDIAB, 2023). Nearly all of that care runs on review visits.
- A structured English SOAP note lands about two minutes after each patient, drafted from the conversation itself.
- From ₹1,599/mo per doctor (annual Assist, ex-GST) with unlimited visits and no per-note metering: 40 reviews a day cost the same as 10.
- Serial notes keep the same structure visit after visit, so a sugar trend is readable across months of records.
- The scribe won’t pull glucometer or CGM data, and ABDM integration is roadmap, not live. We say so up front.
Diabetes care in India is a follow-up business
The ICMR-INDIAB study, published in The Lancet Diabetes & Endocrinology in 2023, put diabetes prevalence at 11.4% of Indian adults, an estimated 101 million people. A diagnosis is one visit. Management is decades of them: monthly reviews for the newly started, quarterly for the stable, weekly when something’s off.
So a diabetology OPD, whether it’s a solo sugar clinic in Indore or a multi-city chain, is a review machine. The consult itself is quick. A 67-country study in BMJ Open found the average Indian consultation runs about two minutes, and a stable diabetes review often fits that. The documentation doesn’t. Forty reviews means forty notes, and they land on you after the last patient leaves.
If your OPD list is mostly reviews,
The same note, twelve times a year
Here’s the specific grind of diabetes documentation: every review restates the same skeleton. Interval history. Home readings. Weight, BP. Current medications. What changed and why. Next review date.
Write that skeleton by hand at 9pm and it thins fast. By the fifteenth note, “continue same” starts standing in for actual content. Thin serial notes fail you at exactly two moments: when a complication surfaces and you need the trail of what was tried and when, and when another doctor picks up the file and can’t reconstruct the story.
A scribe changes what the note is made from. It drafts from the conversation you actually had, while you’re having it, so visit twelve gets the same fidelity as visit one. You’re not summoning details from memory at night; you’re checking a draft two minutes after the patient walks out.
The follow-up math on a 30-review day
No vendor table can know your clinic, so here’s the arithmetic with every assumption visible. Time yourself for one session and swap in your own numbers.
| Line item | Typed by hand | With the scribe |
|---|---|---|
| Review visits in a day | 30 | 30 |
| Writing time per note | ~3 min | drafted for you |
| Review-and-sign per note | included above | ~30 sec |
| Documentation time per day | ~90 min | ~15 min |
| Per month, 26 OPD days | ~39 hours | ~6.5 hours |
Three minutes per typed note is conservative; most doctors we’ve watched take longer once the day’s backlog piles up. Thirty seconds to review and sign is an assumption about you, not a product claim, so test it. Run the 7-day trial on your busiest review session and time both halves yourself.
The point isn’t the exact figure. It’s that documentation time in a follow-up specialty scales with visit count, and visit count is the one thing a diabetes practice can’t reduce.
Serial notes a sugar trend can be read from
Continuity is the clinical argument, separate from the time argument. When every note follows the same SOAP structure, in the same clinical English, flipping back through six visits actually tells you something: readings drifting up since March, the metformin dose change in May, the complaint that appeared twice and got worse.
The scribe gives you that consistency without effort. The readings a patient reports and the adjustments you say out loud land in the note. ICD-10 suggestions come attached. And every note exports as an EHR-ready export (PDF · HL7 · FHIR) into whatever record system your clinic already runs.
To be clear about the boundary: the scribe writes consistent notes; it doesn’t chart trends or store your longitudinal record. That’s a record system’s job. When you want visit history in one place under the same roof, the bundled AI Copilot EHR arrives at the Copilot tier. If you’re weighing which to adopt first, our take on scribe versus EMR ordering walks through it.
”Sugar high hai”: Hindi in, English notes out
A diabetes consult in India is rarely monolingual. The patient reports “khaali pet one-forty, khaane ke baad two-ten,” asks about “sugar ki goli” in Hindi, and hears your answer in a mix. That sentence pattern breaks single-language dictation tools.
The scribe listens in English, Hindi, and 20-plus Indian languages, including code-mixed Hinglish, and follows the switches mid-sentence. What comes out is always a clean clinical English note, so the record reads the same whether the consult ran in Hindi, Tamil, or both. More on how that works in our post on Hindi and Indian-language capture.
What a diabetes clinic pays when patients return monthly
We think flat pricing is the only honest model for a follow-up-heavy specialty. Per-note pricing quietly taxes exactly the practice pattern diabetology depends on: frequent, short, repeated visits.
Patient Square is flat per doctor, ex-GST, billed with 18% GST added. On annual billing: Assist at ₹1,599/mo (₹1,887 with GST) covers the scribe, ICD-10 suggestions, prescription drafts, and scheduling. Copilot at ₹2,399/mo adds the bundled AI Copilot EHR and WhatsApp messaging. Autopilot at ₹3,999/mo adds the AI Receptionist and AI Follow-ups. Every plan: unlimited visits, unlimited notes, no setup fee. The full ladder is on the pricing page.
Running a one-doctor sugar clinic? The solo-doctor cost breakdown does this math at your scale.
Where the scribe stops
Three limits, stated plainly.
It doesn’t pull data from glucometers, CGMs, or lab systems. Readings enter the note because someone in the room said them. If device integration is your core requirement, this isn’t that product.
It doesn’t make clinical calls. ICD-10 codes are suggestions, the prescription is a draft, and every note waits for your review and signature. Dose decisions stay where they belong.
ABDM integration is on our roadmap, not live. If ABHA-linked records are a hard requirement this quarter, check any vendor’s actual certification status before signing. What ships today: notes born digital, encrypted in transit and at rest, audio processed in memory and never stored, handled to DPDP Act 2023 standards. Details are on the security page. This describes live consultation audio; uploaded recordings use a separate retention mode with explicit consent.
None of that requires trust in a blog post. Pick your heaviest review day, run the trial on it, and