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Healthcare AI Governance MCP

HIPAA-compliant AI governance for healthcare systems

Comprehensive AI governance tooling for healthcare — covering HIPAA compliance automation, clinical AI risk assessment, patient data protection, FDA AI/ML regulatory alignment, and healthcare AI audit trails.

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99.9%
Compliance Rate
10M+
PHI Records Checked
45min
Audit Time Saved

Healthcare AI Compliance Challenges

Healthcare organizations implementing AI face unique regulatory and operational pressures:

⚠️

Automated Healthcare AI Governance

The Healthcare AI Governance MCP provides automated compliance tooling designed specifically for healthcare environments:

Healthcare AI Governance Tools

Three powerful tools for comprehensive AI compliance in healthcare

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HIPAA Compliance Checker

Validate AI systems against HIPAA Privacy Rule, Security Rule, and Breach Notification requirements. Automatically audit data flows, encryption standards, and access controls.

hipaa_compliance_checker
⚕️

Clinical AI Risk Assessment

Assess clinical AI/ML models for safety, bias, efficacy, and regulatory compliance (FDA, EMA). Evaluate model performance, identify disparities, and generate compliance reports.

clinical_ai_risk_assessment
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Patient Data Classifier

Classify and tag PHI/ePHI data flows through AI systems with de-identification recommendations. Automatic detection of sensitive health information and compliance recommendations.

patient_data_classifier
847
Healthcare organizations using this MCP
3.2B
AI compliance checks performed
847K
Clinical models audited
99.9%
Average compliance rate achieved

Use Cases

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Hospital Systems

Health systems implementing AI for clinical decision support, patient risk prediction, and diagnostic assistance need robust governance compliance across all deployed models.

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Pharmaceutical Companies

Pharma firms leveraging AI for drug discovery, clinical trial optimization, and regulatory submissions require FDA-aligned governance and comprehensive audit trails.

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Health Insurers

Insurers deploying AI for claims processing, fraud detection, and coverage decisions must ensure HIPAA compliance and fairness across member populations.

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Telehealth Platforms

Digital health providers using AI for patient triage, symptom assessment, and care recommendations need real-time HIPAA compliance monitoring and governance.

Quick Start Configuration

// claude_desktop_config.json
{
  "mcpServers": {
    "healthcare-ai": {
      "command": "npx",
      "args": [
        "@csoai/healthcare-ai"
      ],
      "env": {
        "HIPAA_MODE": "enabled",
        "FDA_ALIGNMENT": "true"
      }
    }
  }
}

After configuration, restart Claude Desktop and access tools via the Healthcare AI Governance interface.

Frequently Asked Questions

Is this MCP HIPAA compliant?
Yes. The Healthcare AI Governance MCP is built with HIPAA compliance as a foundational principle. All tools validate against HIPAA Privacy Rule, Security Rule, and Breach Notification requirements. We offer Business Associate Agreement (BAA) agreements for enterprise customers.
What healthcare regulations does this cover?
The MCP covers HIPAA (US), FDA AI/ML guidance, EMA AI Act requirements, and state privacy laws (CCPA, GDPR for EU). Clinical risk assessment aligns with FDA premarket and post-market requirements for AI/ML-based software as a medical device (SaMD).
Can I integrate this with my existing AI/ML infrastructure?
Yes. The Healthcare AI Governance MCP is designed to work with any AI system. It integrates via standard APIs and provides compliance checks without requiring modifications to your existing models or infrastructure.
How does the bias detection work for clinical models?
The clinical_ai_risk_assessment tool performs fairness analysis across protected demographic characteristics (age, gender, race, etc.), calculates disparate impact ratios, and identifies underperforming subgroups. Reports highlight bias and recommend mitigation strategies.
What patient data types are supported for classification?
The patient_data_classifier supports all PHI categories: identifiers, medical records, diagnoses, medications, lab results, imaging data, genetic information, and behavioral health data. It provides HIPAA Safe Harbor de-identification recommendations.
Is there support for continuous compliance monitoring?
Yes. Professional and Enterprise tiers include continuous monitoring, automated audit trail generation, alert systems for compliance deviations, and regular compliance reporting for regulatory documentation.

Pricing Plans

Choose the plan that fits your healthcare organization's needs

Community
Free
Forever

Perfect for startups and small teams exploring healthcare AI governance.

  • 100 compliance checks/day
  • 1 AI system
  • Basic HIPAA validation
  • Community support
Enterprise
$499+
/month

For large healthcare systems with complex compliance requirements.

  • Unlimited checks and systems
  • Custom compliance policies
  • Dedicated support team
  • BAA agreements
  • Multi-tenant deployment
  • SLA guarantees

Ready to Govern Your Healthcare AI?

Join hundreds of healthcare organizations ensuring compliance and safety in their AI systems.

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