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Clinical AI.
Patient-Safe Governance.

AI-assisted diagnosis and treatment recommendations with human physician oversight built in. HIPAA-compliant from architecture, not afterthought.

The Problem

What keeps healthcare leaders up at night

⚠️

Liability Exposure

AI recommendations without clear human oversight create unprecedented malpractice risk. Who's responsible when AI gets it wrong?

🔐

HIPAA Complexity

Most AI tools send patient data to external servers. That's a compliance nightmare waiting to happen.

📋

FDA Requirements

Clinical decision support systems face increasing regulatory scrutiny. Audit trails aren't optional.

👨‍⚕️

Physician Trust

Clinicians won't use AI they can't understand or override. Black-box recommendations get ignored.

The Complete Process

How a healthcare organization works with our governance platform

1

Onboard

What Happens

  • Deploy in YOUR healthcare cloud (AWS GovCloud, Azure Healthcare)
  • Configure clinical decision support parameters
  • Define which recommendations require physician sign-off
  • Integrate with existing EHR systems (Epic, Cerner)

HIPAA Architecture

  • PHI never leaves your environment
  • BAA not required with NameONE (we don't see data)
  • Your existing compliance controls apply
  • Audit logging meets retention requirements
Typical: 4-6 weeks (includes EHR integration)
2

Analyze

What Happens

  • Multiple AI models review patient data independently
  • Cross-reference with clinical guidelines and literature
  • Generate differential diagnoses with confidence scores
  • Flag contradictions and edge cases automatically

Clinical Governance

  • Claude: Guideline compliance
  • Gemini: Pattern recognition
  • Deep: Literature correlation
  • Catfish: Alternative diagnoses
Seconds per case
3

Recommend

What Happens

  • Synthesize multi-AI analysis into clinical recommendations
  • Present reasoning chain (not black-box)
  • Highlight areas of AI agreement and disagreement
  • Surface relevant contraindications and interactions

Transparency

  • Full reasoning visible to physician
  • Confidence levels clearly displayed
  • Supporting evidence linked
  • Minority AI opinions shown
Real-time at point of care
4

Decide

What Happens

  • Physician reviews AI recommendations
  • Can accept, modify, or reject any suggestion
  • Decision and reasoning documented automatically
  • Override triggers quality review (not punishment)

Physician Authority

  • AI advises, physician decides — always
  • No autonomous clinical actions
  • Override is expected and welcomed
  • Learning loop improves future recommendations
Physician workflow — not interrupted
5

Document

What You Get

  • Complete audit trail for every AI interaction
  • Physician decision rationale captured
  • FDA-ready documentation for clinical AI
  • Quality metrics for continuous improvement

Compliance Value

  • Malpractice defense documentation
  • Regulatory inspection readiness
  • Clinical quality reporting
  • AI performance analytics
Automatic — no additional physician burden

Deployment Model

Your infrastructure. Your PHI. Our governance.

Your Environment

Your Healthcare Cloud

AWS GovCloud, Azure Healthcare, on-prem

Your EHR Integration

Epic, Cerner, Meditech — your contracts

All Patient Data

PHI never transmitted externally

Clinical Audit Trail

Meets 6-year retention requirements

License

NameONE Provides

Governance Software

Clinical decision support framework

EHR Connectors

Pre-built integrations + custom support

Clinical Protocols

Specialty-specific governance rules

No BAA Required

We never access PHI — ever

No Business Associate Agreement needed.
We license software. We don't touch patient data. Your HIPAA compliance is unchanged.

Compliance Ready

View full compliance substantiation →

Built for regulated healthcare environments

HIPAA

PHI stays in your environment. No external transmission. Your existing controls apply.

FDA 21 CFR Part 11

Electronic records and signatures. Complete audit trails. Tamper-evident logging.

HITECH

Meaningful use alignment. Interoperability ready. Patient access supported.

Joint Commission

Quality metrics. Clinical decision support documentation. Peer review integration.

See It In Action

Schedule a healthcare-focused demo with clinical use cases.