HIPAA by design
Encryption, RBAC, audit logging, BAAs, PHI de-identification, and HIPAA-eligible infrastructure from day one.
HIPAA · EHR · Clinical AI
AI built for healthcare
We build HIPAA-compliant AI for healthcare organizations — EHR-integrated clinical decision support, AI-powered patient portals, medical document processing, and care coordination automation with clinical validation and patient safety at the core.
HIPAADay one
Epic+EHR ready
70%+Doc time saved
200+Projects
What we build
Beyond models — clinical reality
Healthcare AI requires patient safety, regulatory compliance, clinical workflows, and interoperability — not generic LLM wrappers. Our team ships HIPAA-compliant systems with clinician-in-the-loop design, bias auditing across demographics, and documentation for regulatory review.
EHR-native delivery
FHIR R4, HL7, SMART on FHIR — embedded in Epic, Cerner, and athenahealth workflows or standalone sync.
Clinician-in-the-loop
Every clinical AI decision reviewed by providers — explainability, override paths, and safety guardrails.
Validated outcomes
Retrospective and prospective validation, bias audits, continuous monitoring, and SaMD prep when needed.
Capabilities
What we deliver
End-to-end delivery — from discovery through production and ongoing optimization.
EHR Integration & AI
AI-powered enhancements embedded in provider workflows — chart summarization, note generation, and predictive alerts via FHIR.
- Epic · Cerner · Athena
- SMART on FHIR
- Bidirectional sync
Clinical Decision Support
Evidence-based recommendations for diagnosis, treatment, drug interactions, and risk stratification with clinician oversight.
- Explainable outputs
- Guideline alignment
- Override logging
Patient Engagement AI
HIPAA-compliant portals, symptom triage, scheduling assistants, medication reminders, and health education chatbots.
- NLU triage
- Smart scheduling
- Secure messaging
Medical Document AI
Automated processing of records, lab results, prior auths, and referrals — extract, classify, and route at scale.
- 95%+ accuracy
- HITL review
- FHIR export
Care Coordination
Care gap identification, readmission prediction, risk scoring, and automated follow-up scheduling.
- Population health
- Risk models
- Outreach automation
Healthcare Analytics
Operational dashboards, revenue cycle optimization, and predictive models for volume, staffing, and resource allocation.
- OMOP CDM
- ICD-10 · SNOMED
- Real-time KPIs
Where health systems start
Sound familiar?
Most healthcare AI programs begin with one of these — we meet you where you are with HIPAA-compliant, clinically validated delivery.
"We need AI in our EHR without compromising HIPAA"
FHIR integration architecture + BAA-ready deployment on HIPAA-eligible infrastructure
"Physicians spend too much time on documentation"
Ambient clinical documentation + automated chart summarization with clinician review
"We want patient-facing AI but need compliance"
HIPAA-compliant portals + NLU triage with human escalation paths
"Prior authorization takes days and delays care"
Intelligent prior auth automation + payer routing with audit trails
"We need to validate AI before clinical deployment"
Retrospective testing + prospective validation with bias audits across demographics
How we work
Discovery to production
A proven delivery rhythm — scoped for accuracy, structured for scale.
Assess & align
Clinical workflow mapping, HIPAA gap analysis, and EHR integration feasibility with stakeholders.
Design & validate
Architecture, data contracts, bias testing plan, and clinician review workflows.
Build & integrate
Model development, FHIR/HL7 integration, and pilot deployment in controlled environments.
Monitor & scale
Continuous performance monitoring, drift detection, and rollout across facilities.
Technology
The stack
Production-proven tools and deliverables chosen for your constraints.
Layer 01
Interop
Layer 02
AI / ML
Layer 03
Compliance
Layer 04
Terminology
Proof of work
Healthcare delivery
HIPAA-compliant AI systems in production with measurable clinical and operational outcomes.
AI EHR Onboarding
Document extraction and entity normalization for patient onboarding across 12 facilities with FHIR-compliant mapping.
82%Faster onboarding
$1MAnnual savings
AI Patient Portal
Conversational AI mobile portal — NLU symptom triage, smart scheduling, and lab result interpretation.
12→68%Portal adoption
$1.8MAnnual savings
Cross-Platform Telehealth
HIPAA-compliant telehealth — video consultations, AI symptom triage, and e-prescribing across iOS, Android, and web.
87%Code sharing
10KPatients in 3mo
HIPAACompliant
70%+Doc burden cut
Epic+EHR integrated
200+Projects shipped
01Are your healthcare AI solutions HIPAA compliant?
Yes — all solutions are HIPAA-compliant from day one: end-to-end encryption, role-based access, comprehensive audit logging, BAA agreements, PHI de-identification, and HIPAA-eligible cloud infrastructure.
02Can you integrate AI with our existing EHR system?
Yes. We integrate with Epic, Cerner, Allscripts, athenahealth, and others via FHIR R4 APIs, HL7 interfaces, and custom layers — embedded in EHR workflows or standalone with bidirectional sync.
03How do you handle medical AI validation?
Rigorous protocols: retrospective testing on historical data, prospective validation with clinical teams, bias audits across demographics, continuous post-deployment monitoring, and clinician-in-the-loop review. FDA 510(k) prep for SaMD when applicable.
04Which healthcare AI use cases deliver the fastest ROI?
EHR data extraction (70%+ chart review reduction), no-show prediction (25%+ scheduling gains), prior authorization automation (days to hours), and clinical documentation improvement (major physician burden reduction).
Next step
Ready to build healthcare AI?
Let's discuss your use case — we'll outline a HIPAA-compliant implementation plan with clinical validation milestones.