Industry · Healthcare

AI for healthcare

We build HIPAA-compliant AI that improves patient outcomes, reduces physician burnout, and automates administrative workflows — from EHR-integrated clinical decision support to AI-powered patient portals, validated with clinical teams and built for regulatory requirements.

HIPAACompliant
Epic+EHR ready
40–60%Burnout cut
200+Projects
Industry context

AI that understands healthcare

Generic AI vendors don't understand HIPAA, EHR interoperability, clinical workflows, or the stakes of healthcare AI decisions. Our team integrates with Epic, Cerner, and major EHRs — with FHIR/HL7, clinical terminologies, and validation rigor built in.

01

HIPAA by design

Encryption, RBAC, audit logging, BAAs, and HIPAA-eligible infrastructure from day one.

02

EHR interoperability

FHIR R4, HL7, SMART on FHIR — embedded workflows or bidirectional sync.

03

Clinician-in-the-loop

Explainability, override paths, and safety guardrails for every clinical decision.

04

Clinical validation

Bias audits, prospective testing, continuous monitoring, and SaMD prep.

Use cases

Where healthcare AI delivers

Production use cases we've shipped for health systems, digital health, and life sciences.

EHR

EHR AI Integration

AI embedded in provider workflows — chart summarization, note generation, predictive alerts, and coding assistance.

  • Epic · Cerner · Athena
  • SMART on FHIR
  • Bidirectional sync
CDS

Clinical Decision Support

Evidence-based recommendations for diagnosis, treatment, and risk stratification with clinician oversight.

  • Explainable outputs
  • Guideline alignment
  • Override logging
Engage

Patient Engagement

HIPAA-compliant portals, symptom checkers, scheduling assistants, and health education chatbots.

  • NLU triage
  • Smart scheduling
  • Secure messaging
Docs

Medical Document AI

Automated processing of records, lab results, prior auths, and referrals at 95%+ accuracy.

  • OCR + NLP
  • HITL review
  • FHIR export
Revenue

Revenue Cycle AI

Medical coding, charge capture, claim scrubbing, denial management, and prior authorization.

  • Auto-coding
  • Denial prediction
  • Payer routing
Population

Population Health

Risk stratification, care gap identification, readmission prediction, and chronic disease management.

  • Risk models
  • SDOH analytics
  • Outreach automation
01How do you ensure HIPAA compliance?

End-to-end encryption, RBAC, audit logging, BAA agreements, PHI de-identification, HIPAA-eligible infrastructure, and regular compliance audits — built into every layer from day one.

02Which EHR systems do you integrate with?

Epic, Cerner, Allscripts, athenahealth, eClinicalWorks, and MEDITECH via FHIR R4, HL7 v2, SMART on FHIR, and custom integrations.

03Can AI help reduce physician burnout?

Yes — ambient documentation, chart summarization, order suggestions, and prior auth automation can reduce documentation burden by 40–60%.

04How do you validate clinical AI?

Retrospective testing, prospective validation with clinical teams, bias audits across demographics, continuous monitoring, and clinician-in-the-loop review.

Next step

Ready to transform healthcare with AI?

Let's discuss your use case — we'll outline a HIPAA-compliant plan with clinical validation milestones.