HealthOps brings patients, scheduling, staff, billing, inventory and analytics into one system — and puts a copilot behind them that flags GST issues before invoices go out, predicts no-shows, and keeps stock ahead of demand.
Organized the way a clinic actually runs: a daily overview, clinical work, financial paperwork, and the numbers that tell you how the practice is doing.
A real-time read on today's appointments, revenue and staff load — with the copilot surfacing what needs attention first.
Full patient records with visual charting — including dental charts — kept with the clinic, not on paper.
Booking across doctors and rooms — with likely no-shows predicted early so reminders go out before slots go empty.
Roles, permissions and capacity in one place — with alerts before you outgrow your plan.
Prescribe, dispense and bill in one flow — batch & expiry tracked automatically, with FEFO stock picks and dispensing locked to a pharmacist once you have one on staff.
GST-ready billing — GSTIN, tax breakup and HSN/SAC captured automatically, with AI flagging mismatches before an invoice is issued.
Stock and consumption tracked — with reorder suggestions forecast from actual usage, before you run out mid-treatment.
Revenue and performance in ₹, year over year — with plain-language answers to "why is Tuesday revenue down?"
Real screens from a live HealthOps clinic. Patient names and numbers are demo data — the product isn't.
Today's appointments, revenue and staff load — the first thing your team sees on login.
Revenue in ₹, month over month, broken down by specialty — including pharmacy dispensing.
A real visual dental chart with per-tooth treatment history, not a text field pretending to be one.
The pharmacist's own queue — awaiting approval, ready to dispense, low stock — nothing typed twice.
HealthOps Copilot reads across scheduling, billing and inventory in real time — not a chatbot bolted onto a static system, but a layer that sees the same data your front desk and billing clerk see, and acts before small problems become patient-facing ones.
No-show risk and stock depletion are forecast from real usage patterns — flagged days before they become a gap in the schedule or the store room.
GSTIN, tax breakup and HSN/SAC codes are validated against the invoice before it's issued — not caught during a filing season audit.
Ask the analytics module why revenue moved, and get a written explanation — not another chart to interpret yourself.
Enter your GSTIN and business details once. Every invoice HealthOps generates from that point on is filing-ready.
Every module above touches patient records or billing data. Here's exactly how HealthOps isolates it, and where the AI stops so a real person can sign off — not a policy PDF.
We're early — no formal certification is complete yet, and we won't claim otherwise. The safeguards below are live in production today, independent of any certification timeline.
Every booking, invoice or record change the AI proposes is held for a staff member's sign-off — the AI never books, bills or edits a record on its own.
Approving a pending action resolves that exact request in code — it's never re-interpreted by the model, so a clear "yes" can't be misread as a brand-new request.
Each conversation resolves to your real clinic from your login. The AI has no tool path to another clinic's patients — there's nothing for a crafted message to retrieve.
Conversations and records serve your clinic only — never used to train or fine-tune shared or third-party models, per our model provider's API terms.
| Time | Agent | Action | Status |
|---|---|---|---|
| 09:42 today | Scheduling | Booked follow-up appointment | Approved by R. Shah |
| 08:58 today | Billing | Drafted GST invoice correction | Pending sign-off |
| Yesterday 17:12 | Insurance | Drafted claim appeal — CLM-2290 | Approved by Dr. Nair |
| Yesterday 11:40 | Clinical | Flagged possible drug interaction on prescription | Reviewed by Dr. Patel |
Illustrative — real entries are scoped to your clinic and available for compliance review on request.
No. Your clinic's data is used only to power responses within your own tenant. It's never used to train or fine-tune shared or third-party models.
Each clinic gets its own database schema — no document, conversation or query ever crosses clinic boundaries. Another clinic on HealthOps never sees your data, and you never see theirs.
No. The AI drafts and assists; every write it proposes — a booking, an invoice, a record change — waits for a staff member's approval before it takes effect. Nothing is sent, booked or billed unsupervised.
Every conversation resolves to your real clinic from your login before the AI sees anything. It has no tool path to query outside that clinic, so a crafted message can't retrieve another patient's data regardless of how it's worded.
Every AI action — a draft, a booking, an approval — is logged with a timestamp, the record it touched, and whether a human signed off. Available for review any time.
Not yet — we're early, and won't claim a certification we haven't earned. Alignment with India's DPDP Act is in progress; SOC 2 and ISO 27001 are on our roadmap. Tenant isolation, TLS, the approval gate and the audit log above are live today, independent of that timeline.