Healthcare Technology That PutsPatients First

Usually, yes. We audit the existing HIS, LIS, PACS and the lab equipment, and design the integration surface before any build begins. HL7 and FHIR are part of the default stack. When a system has no API, we wrap it in a typed bridge with the audit trail the integration needs.

The DPDP Act 2023 sets the rules for personal data in India, and the architecture is built to comply from sprint one: consent capture, data minimisation, purpose limitation, retention rules, breach response and the audit log the regulator expects. We can deploy on your infrastructure when the data posture requires it.

Yes. The data model is multi-tenant from the first sprint, with the role model that fits a chain — central admin, regional ops, individual facility, individual doctor. Reports roll up to the chain, and the patient record follows the patient across facilities with the consent that the move requires.

When the eval suite proves it. The AI is assistive, not autonomous: the clinician reviews, the eval suite catches the regression, and the audit log records the AI's role in the decision. We do not ship autonomous diagnostics. We ship assistive tools that a qualified clinician uses.

A focused HMS with OPD, IPD, pharmacy and lab typically ships in 16–24 weeks. A larger deployment with telemedicine, TPA and AI takes 6–9 months. The timeline is set after the audit, not before, because the scope depends on the modules and the integrations.