Healthcare software where the patient is the spec.
EHR integration, remote patient monitoring, and clinical workflow systems built by engineers who treat protected health information as the constraint it actually is, not a checkbox.
Clinical software fails differently.
A delayed notification in most apps is a minor annoyance. In a remote patient monitoring platform, it's the gap between a nurse catching a deteriorating vital sign and not catching it. Healthcare software carries consequences that other verticals don't, and that changes how we approach error handling, alerting, and what "done" means for a feature.
We build with HIPAA's technical safeguards as architectural defaults — encryption at rest and in transit, granular access logging, and minimum-necessary data exposure baked into the API layer — rather than retrofitted before a compliance review. Where a workflow touches a clinician's actual day, we design for the unit they work in, not the org chart above them.
Capabilities built for healthcare & life sciences.
EHR / EMR integration
HL7, FHIR, and direct API integrations with major EHR systems — built to handle the messy reality of healthcare data, not the clean version in the spec sheet.
Remote patient monitoring
Device data ingestion, threshold-based alerting, and care-team dashboards designed around clinical urgency, not just data visualization.
Clinical workflow systems
Scheduling, intake, and care coordination tools shaped around how clinical teams actually move through a day — not a generic ticketing model.
Patient-facing portals
Appointment booking, records access, and secure messaging built for patients who range from tech-fluent to first-time app users.
Regulatory frameworks we build to
An alert that arrives after the moment it mattered isn’t a feature — it’s documentation of a miss.
What teams in healthcare & life sciences actually ask us.
Yes. Any engagement that touches protected health information starts with a BAA, and we structure data handling, sub-processor relationships, and breach-notification procedures around it from day one — not as paperwork after the architecture is already decided.
In most cases, yes. We've worked with HL7 v2 feeds and FHIR APIs across several major EHR platforms. Where a vendor's integration sandbox is limited or their documentation lags their actual API, we budget time to verify behavior against the real system early — that's usually where healthcare integrations go wrong.
We don't put real PHI in staging or development by default. De-identified or synthetic data is the standard for any environment outside production, with access to real patient data restricted and logged even within the production system itself.
Building something that touches patient data?
Whether it's an EHR integration, a monitoring platform, or a clinical tool that needs to earn a care team's trust — the first conversation is on us.