Engineering for Healthcare
For clinics, hospital chains, diagnostic labs, and health-tech startups that need better patient management, smoother operations, and compliance tools — without adding admin overhead.
- Free 30-min call
- NDA on request
- Senior engineer on the call
Tools we wire together
Live signal
Domain-specific tooling, engineered in-house.
Every card below is a working pattern we've shipped or scoped for a real healthcare client — not a wishlist.
OPD Booking & Patient Flow
Online appointment booking, automated SMS/WhatsApp reminders, and digital intake forms. Cut no-shows and free your front desk from manual scheduling.
Patient Records & e-Prescriptions
Paper records digitised, e-prescriptions linked to each visit. Every consultation is searchable, auditable, and accessible to authorised staff instantly.
Claims & Billing Automation
Faster insurance claims, fewer billing errors, shorter payment cycles. Audit prep that took days becomes a one-click export.
Pharmacy & Inventory Management
Real-time drug stock tracking, expiry alerts, and automated reorder triggers — eliminating stockouts across multi-location networks.
Telemedicine & Video Consults
HIPAA-compliant video consultations integrated with patient records — bookings, payments, and follow-up scripts in one flow.
Lab Reports & Result Distribution
Automated lab report delivery via secure portal, WhatsApp, and email — with structured data feeds back into the EMR.
ABDM / ABHA Integration
Connect to India's National Health Stack — ABHA-based patient identity, FHIR R4 record exchange, and consent-manager wiring. Your EMR talks to the wider ecosystem out of the box.
Doctor Productivity Dashboards
Per-doctor utilisation, average consult time, follow-up rates and revenue contribution — surfaced as a live dashboard so partners can run the practice on data, not anecdotes.
Multi-branch Analytics
Roll-up dashboards across branches: OPD load, specialty mix, footfall patterns, claims ageing. Drill from network to branch to doctor in two clicks.
Tools typically used
The pain points healthcare teams actually live with.
These are the workflows that quietly drain margin, staff time, and patience. Every system we build starts from one of these.
30–40% appointment no-shows
Front desks burn hours on reminder calls and the slots still go empty. Walk-ins fill the gap unpredictably.
Paper records that don't travel
A patient seen in Branch A is a stranger in Branch B. Repeat tests, missed history, frustrated doctors.
Insurance claims that bleed cash
Manual cashless and reimbursement workflows mean rejections, resubmissions, and 60–90 day payment cycles.
Pharmacy stockouts & expiries
No live view of inventory across branches. Either you stock too much (write-offs) or too little (lost prescriptions).
Audit prep that takes days
NABH / NABL inspections turn into spreadsheet archaeology. Evidence is real, finding it isn't.
Doctors typing instead of treating
EMRs built for billing, not consultations. Note-taking eats minutes that should belong to the patient.
AI isn't bolted on. It's built into the workflow.
Specific, working uses of LLMs and ML in real healthcareoperations — not generic “AI-powered” marketing.
Voice-to-note clinical summaries
Doctor speaks, an AI scribe drafts a structured SOAP note linked to the encounter. Doctors edit, not type — minutes back per consult.
Smart triage on intake forms
Patient symptoms get pre-classified by an LLM and routed to the right specialty, with red-flag escalations surfaced to reception.
AI-assisted claim packaging
Diagnosis + procedure codes + documentation auto-compiled per insurer's format. First-pass rejection rates drop sharply.
Lab report explainers
Auto-generate plain-English summaries of lab values for patients on the portal — fewer panic calls, better adherence.
No-show prediction
Per-appointment risk score from history + demographics + slot timing. Reception double-confirms the high-risk ones.
Pharmacy demand forecasting
SKU-level reorder triggers using consumption trends, seasonality, and prescription patterns — not gut feel.
Discovery to production, no surprises.
A four-stage framework with AI capability called out at each step — so you can see exactly where machine learning earns its keep.
- 01
Discovery & compliance scoping
We map your patient journey, branches, payer mix, and the regulatory surface (HIPAA / DPDP / ABDM). You leave with a written plan, not a brochure.
AIAI-assisted workflow mining from your existing records & call logs.
- 02
MVP in 6–8 weeks
We ship the one workflow that hurts most first — usually OPD booking or e-prescriptions. Live in production, in one branch, with real staff using it.
AILLM-generated draft schemas, seed data, and clinical content scaffolding.
- 03
Rollout across the network
Branch-by-branch onboarding with training, data migration from paper / Excel, and a parallel-run period. We're on the floor, not on email.
AIAuto-mapping of legacy CSV/Excel fields into the new EMR schema.
- 04
Run, measure & improve
Monthly review of no-show rate, claim TAT, stockouts, and doctor utilisation. We tune the system to the metrics, quarter over quarter.
AIAnomaly alerts on claim denials, drug-interaction risks, and inventory drift.
Built for the regulations you actually answer to.
Every system we ship comes with the controls and audit surface your inspectors will ask for — designed in from day one, not bolted on later.
HIPAA-aligned
Access controls, audit logs, encrypted at-rest and in-transit. Suitable for US-affiliated tele-health and second-opinion flows.
DPDP Act 2023
Indian patient-data handling: explicit consent capture, purpose limitation, data-principal request workflows, breach-notification readiness.
ABDM / NDHM ready
ABHA-based identity, FHIR R4 record exchange, and consent-manager integration — so your EMR can talk to the national health stack.
NABH-friendly evidence trail
Every clinical and administrative action is timestamped and attributable. Inspection prep becomes a report, not a fire drill.
How we'd approach real healthcare engagements.
Concrete scenarios, scoped from real conversations. Each one is a pattern we'd execute on day one.
Diagnostic lab network — automating report delivery
The disciplines that make this work.
Common questions answered.
Can you integrate with our existing EMR or HMS?
Where is patient data stored?
How long until you're live in one branch?
Can you handle ABDM / ABHA integration end-to-end?
How do you approach telemedicine compliance?
You're a new firm — why should we trust you with patient data?
Ready to modernize your healthcare stack?
Tell us where you are. We'll scope it, estimate it, and walk you through exactly how we'd approach it.
Get in touch