The platform
One screen. Five minutes. Nothing lost.
HlthLynk was built around a single founding constraint: a fully documented new consultation in under five minutes, a follow-up in under three — without the doctor spending the visit looking at a screen instead of the patient. Everything below exists in service of that.
Documentation
Documentation that doesn’t cost you the patient.
The whole consultation lives on one screen instead of scattered across tabs and modals — history, examination, diagnosis and plan, all in one place.
An ambient assistant listens to the doctor–patient conversation, with consent, and drafts the note in real time, section by section, for you to accept or edit — never type from scratch, never re-explain what was just said out loud. Normal findings fill themselves in from your own examination habits; only the abnormal needs typing.
It’s the difference between software that demands attention and software that gets out of the way.
Governed AI
The AI proposes. The doctor disposes.
Every AI suggestion — a drafted note section, a ranked differential, a flagged drug interaction — traces back to something in the chart or a cited clinical source. If it can’t point to where it got something, it doesn’t show it.
Tap any suggestion, see its source
A specific chart entry or a cited guideline — never a source-less assertion. Auditable by design, because a profession has good reason to be skeptical of software that can’t explain itself.
Nothing auto-commits. Ever.
You accept, edit or ignore every single suggestion, and that decision is logged. Nothing enters a chart or prescription without a doctor’s explicit say-so.
Turn it off entirely
For one patient or the whole practice — and the software works exactly the same without it. The AI assists the workflow; it doesn’t own it.
The full governance story — data residency, audit trails, and our clinical-safety review process — is on the Security & Compliance page.
Between visits
It follows the patient home.
Most EMRs stop working the moment the consultation ends. This one doesn’t: after a visit, an automated — but doctor-governed, script-approved — loop checks in on medication adherence, chases down the lab report that hasn’t come back, reads reports the moment they’re uploaded and flags anything urgent, and books the follow-up automatically. All of it over WhatsApp, because that’s where Indian patients actually are — not a separate app they have to remember to open.
A gentle nudge
A WhatsApp check-in on medication adherence, or a reminder that a test is due.
A firmer one
If the lab report still hasn’t come back, the follow-up gets more persistent — automatically.
A human takes over
Still nothing? A task lands with your clinic staff to make an actual phone call — the chasing a solo practice rarely has spare hands for.
And it knows its limits: if a patient asks an actual clinical question, it goes straight to your worklist rather than answering on its own. The automation handles the logistics of follow-through; you still own every clinical call.
Engineering reality
Built for Indian clinics, not adapted for them.
- Offline through patchy connectivity and power cuts — a note started before the power goes out doesn’t disappear; everything syncs when you’re back online.
- ABDM/ABHA-native — India’s digital health rails are built into the foundation, not added for a compliance checkbox.
- Handles 60–100 patients a day — the workflows are designed around real OPD volume, which is exactly why the under-5-minute constraint exists.
- Language the way it’s actually spoken — dictation follows a doctor who switches between English and a regional language mid-sentence, and patient-facing material goes out in the patient’s own language.
The operating model
Specialty depth isn’t a launch feature. It’s the whole model.
Every specialty HlthLynk builds gets the same treatment — proven in neurology first, then carried into each new specialty. This is the argument for why “multi-specialty” doesn’t have to mean “shallow.”
Validated clinical scales
The severity and outcome scales your specialty actually runs on, built into the exam itself — not bolted on as separate forms.
Disease-specific registries
Structured registries for the conditions that define long-term care in your specialty, not free-text buried in old notes.
Protocol-driven follow-up
Follow-up intervals that match how each condition is actually managed, scheduled and chased automatically.
Specialty-specific AI
An AI layer trained on your specialty’s patterns — not a generic scribe re-skinned with a different name.
See it against your own OPD day.
Request early access and tell us your specialty — we’ll show you what the under-5-minute consultation looks like for the conditions you actually see.
No subscription fee for the core platform. No credit card. No hardware to buy.