Analytics & Tracking Implementation for Healthcare & Hospitals

Consent is now a design input rather than a banner. Under DPDP expectations, how you collect and store behavioural data matters, and retrofitting it is harder than building it in.

In healthcare & hospitals, clinical safety and patient privacy mean nothing ships without human oversight and a complete audit trail. That single fact reshapes how analytics & tracking implementation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is clinical coding support, usually integrated against PACS and RIS. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.