Healthcare
Clinical workflows hinge on data the EHR was never designed to surface. We help healthcare organizations free that data, automate the work it touches, and do it in a way that holds up under HIPAA review.
What we get right in healthcare.
Free up clinician time
Take the documentation, reporting, and chart-chasing work off the clinician's plate where Azure-side automation can do it faster and more consistently.
Make EHR data usable
Pull from the EHR and adjacent systems into a governed analytics layer where reporting, quality measures, and operational decisions can actually run.
Built for regulated workloads
HIPAA-aligned architecture in Azure: identity, encryption, audit, retention. The compliance surface designed in, not bolted on.
What we get asked to build.
- Claims processing acceleration
- Care-gap and quality-measure reporting
- Provider-side analytics surfaces
- Patient-flow operational dashboards
- Ambient documentation and clinical AI workflow integration
- HIPAA-aligned Azure data platform build or migration
- Prior authorization and intake process automation
- Population health analytics and risk stratification reporting
What we bring to healthcare.
We know where EHR data hides
HL7, FHIR, and vendor-specific APIs across EHR platforms: we have built integrations across multiple systems. The data you need is there; extracting it without breaking clinical workflows is the hard part.
HIPAA built into architecture
Encryption, audit logging, role-based access, and retention aligned to HIPAA minimum necessary standards are architecture decisions we make on day one, not compliance tasks added before an audit.
Clinical workflow context
We build analytics and automation that fits how clinicians and care coordinators actually work, not how an engineer thinks they work. That requires understanding the workflow before touching the technology.
Latency that matches clinical decisions
Patient outcomes and operational decisions do not wait for a quarterly report cycle. We design for the latency that actually matters: near-real-time for clinical decision support, daily for operational dashboards.
What clients typically see.
Doing similar work in healthcare?
Tell us what you are trying to change. We will either be useful, or point you to who would be.