Industries — Healthcare
Healthcare software fails differently: a data boundary drawn wrong is a breach, an integration missed is a clinician re-keying charts at 9pm. We map PHI boundaries, BAAs, and clinical workflows before the first line of code — so compliance is an architecture property, not a launch blocker.
The stakes
01
Patient data leaks into logs, analytics tools, and third-party services one convenient integration at a time. We start every healthcare engagement by mapping exactly where PHI lives, which vendors hold a BAA, and where de-identification happens — then the architecture enforces that map.
02
HL7v2 feeds, FHIR APIs, and vendor sandbox queues can add months when they are treated as an afterthought. We sequence integration work first: sandbox access requested on day one, interface specs validated against real message samples, and fallbacks designed for the fields that arrive dirty.
03
Intake forms re-keyed from faxes, referral documents read by hand, eligibility checked by phone. This is exactly where applied AI earns its keep in healthcare — document extraction and triage with a human in the loop, measured by minutes given back to clinical staff.
Relevant services
Case study
A multi-clinic provider automated patient intake with AI that kept PHI inside its boundary and clinicians in the loop — measured in handling time, not demos.
Browse all case studiesFAQ
The questions healthcare buyers actually ask us — answered the way we’d answer them on a call.
Yes. Where our work involves creating, receiving, or maintaining PHI, we sign a business associate agreement and operate under it — access controls, encryption standards, and breach notification duties included. If a subcontractor or tool would touch PHI, it needs its own BAA or it doesn't get used.
Three patterns, chosen per use case: de-identify before inference, run models inside your cloud boundary, or use API providers that offer BAAs with zero-retention terms. The rule is simple — PHI never crosses the boundary drawn in the architecture, and we can show you the data flow for every AI feature we ship.
Yes, with the same controls a distributed hospital IT team uses: access through your identity provider, no PHI on local machines, masked data in development environments, and audit logs on every production touchpoint. Remote-first helps here — everything is written down and logged by default.
Yes — HL7v2 interfaces and FHIR R4 APIs are the integration surfaces we build against, and we go through each EHR vendor's standard developer program rather than around it. We plan timelines around vendor realities: sandbox queues, certification steps, and interface engine quirks sit in the project plan from week one, not in the risk register.
With clinicians in the loop, not after the fact. Workflow changes are prototyped against de-identified real cases, reviewed by the clinical staff who will live with them, and rolled out with human oversight of anything AI-assisted. We keep measuring adoption and error rates after launch, not just at sign-off.
Tell us what you're building in healthcare. We'll reply within one business day with an honest read on whether we can help.
