Healthcare AI

We design data handling around HIPAA-aware practices and the relevant regional health-data rules for your market from the first architecture decision, not as a retrofit. That includes access controls, encryption, audit logging, and clear boundaries on what data the AI model can see or retain. We also document these decisions so your compliance team can review the system before go-live, not discover it after.

No. Our healthcare systems are built to support clinical staff — surfacing information, drafting documentation, flagging urgency — with a human clinician making every decision that affects patient care. Anything ambiguous or high-stakes routes to a person by design, and we build the escalation logic explicitly rather than leaving it implicit.

A focused deployment, like automating referral intake or clinical note drafting for one department, usually takes 6 to 10 weeks including integration with your EHR. Broader rollouts across multiple departments or facilities take longer because each integration point needs its own validation. We scope this precisely after reviewing your current systems, not off a generic timeline.

Yes, that is the starting point of the engagement — we map your existing EHR, lab, and scheduling systems before designing anything, so the AI works within your current stack rather than requiring a rip-and-replace. Most major EHR platforms support the API or HL7/FHIR integration patterns we use, and where a system is more closed, we build a secure middleware layer instead.