Healthcare is being rebuilt around AI, under the strictest rules in tech.

Documentation drives ~2 hours of admin per 1 hour of care; ~85% of health orgs now use or explore generative AI. But 2024 breaches exposed PHI of 280M+ people, and OCR Phase-3 audits are underway. Clinical AI must run inside a verified HIPAA framework.

What matters is whether the AI can pass the audit.

Compliant by design. HIPAA foundation first, then clean clinical data via FHIR, then human-in-the-loop AI, then audit-proof. PHI masking, audit logs and human review come first, then the AI, so it's safe to use on patients.

HIPAA-compliant multi-tenant EHR

Clinical AI, RAG, ambient notes, prediction

Healthcare integrations via FHIR

Security & compliance, BAA, encryption, audit-ready hardening

Secure, validated AI architecture for biomedical prediction (NLP + PyTorch on HIPAA-aligned AWS).

“Deep expertise in AI, ML and security, a commercially viable architecture.”, Chris Howell, Founder, GenRx

FHIR-based, 25+ microservices, adds new clinics by configuration, not re-architecture.

Productivity treated as an engineering target on a compliant foundation.

“…increasing consultation productivity by 60%, cutting wait times by 40%, saving 20% on operating costs.”, CTO, TELEMED2U