Compliance Guide

PHIPA Compliance for Healthcare AI

Everything Ontario healthcare organizations need to know about implementing AI while meeting Personal Health Information Protection Act requirements.

10 min read|Updated February 2026

Disclaimer: This guide provides general information about PHIPA compliance for AI systems. It is not legal advice. Consult with qualified legal counsel and the Information and Privacy Commissioner of Ontario for guidance specific to your situation.

Understanding PHIPA and AI

The Personal Health Information Protection Act (PHIPA) governs how personal health information (PHI) is collected, used, and disclosed in Ontario. When implementing AI in healthcare settings, these requirements apply to AI systems just as they do to any other system handling patient data.

AI presents unique considerations: automated decision-making, potential for data in training sets, and complex data flows through AI providers. This guide helps you navigate these considerations while maintaining compliance.

Key PHIPA Requirements for AI

Core compliance areas for healthcare AI implementations

Consent and Collection

  • Obtain express consent before collecting PHI through AI systems
  • Clearly explain how AI will use patient data
  • Document consent in retrievable format
  • Allow patients to withdraw consent
  • Limit collection to what is necessary

Data Security

  • Encrypt PHI in transit and at rest
  • Implement access controls and authentication
  • Use secure connections (TLS 1.3+)
  • Regular security assessments
  • Incident response procedures

Data Storage

  • Store PHI in Canadian data centers
  • Document data retention policies
  • Secure disposal of PHI when no longer needed
  • Maintain audit logs of access
  • Backup procedures for data recovery

Access and Disclosure

  • Role-based access controls
  • Need-to-know basis for access
  • Log all access to PHI
  • Procedures for patient access requests
  • Document any disclosures

AI PHIPA Compliance Checklist

Use this checklist to assess your AI implementation

Data Collection

  • AI only collects PHI necessary for stated purposes
  • Consent mechanisms are in place and documented
  • Patients can review and correct their information
  • Collection purposes are clearly communicated

Technical Security

  • All data encrypted with AES-256 or equivalent
  • TLS 1.3+ for all data transmission
  • Multi-factor authentication for admin access
  • Regular penetration testing conducted
  • Intrusion detection systems in place

Data Storage

  • PHI stored exclusively in Canadian data centers
  • Data retention schedule documented
  • Secure deletion procedures verified
  • Backup systems tested and secured
  • No PHI in AI training data without consent

Access Controls

  • Role-based access implemented
  • Access logs maintained for minimum 10 years
  • Regular access reviews conducted
  • Privileged access monitoring in place
  • Terminated employee access revoked promptly

Vendor Management

  • AI vendor has signed PHIPA-compliant agreement
  • Vendor security practices verified
  • Canadian data residency confirmed
  • Subprocessor agreements in place
  • Vendor incident notification procedures defined

Incident Response

  • Breach notification procedures documented
  • IPC notification timeline understood (72 hours)
  • Staff trained on incident reporting
  • Containment procedures tested
  • Post-incident review process defined

Best Practices for Healthcare AI

Recommendations beyond minimum compliance

Use Canadian Data Centers Exclusively

Eliminate cross-border data transfer concerns by ensuring all AI processing and storage occurs within Canada. Major cloud providers offer Canadian regions.

Implement Privacy by Design

Build privacy protections into your AI system from the start. This includes data minimization, purpose limitation, and strong defaults.

Conduct Privacy Impact Assessments

Before deploying AI, assess the privacy risks and document how they will be mitigated. This is best practice and may be required for significant deployments.

Train Staff on AI-Specific Risks

Ensure staff understand how AI handles data differently than traditional systems. Include AI-specific scenarios in privacy training.

Establish AI Governance

Create policies specifically for AI use, including approval processes, monitoring requirements, and regular reviews of AI system behavior.

Plan for Patient Questions

Patients may ask about AI handling their data. Prepare clear, honest explanations and ensure staff can address concerns.

Frequently Asked Questions

Common questions about PHIPA and AI

Can AI chatbots handle patient information under PHIPA?

Yes, AI chatbots can handle PHI if proper safeguards are in place. This includes encryption, access controls, consent mechanisms, Canadian data residency, and audit logging. The AI system must meet all PHIPA requirements for health information custodians.

Where must patient data be stored for PHIPA compliance?

PHI should be stored in Canada. While PHIPA does not explicitly prohibit cross-border transfers, they create significant compliance complexity. Best practice is to use Canadian data centers and ensure all AI processing occurs within Canada.

Do we need to tell patients our AI uses their data?

Yes. PHIPA requires transparency about how PHI is collected, used, and disclosed. Patients must be informed that AI systems are being used and how their information will be handled. Express consent should be obtained for AI processing of health information.

What happens if there is a data breach involving AI?

You must contain the breach, assess the risk, notify affected individuals at the first reasonable opportunity, and report to the Information and Privacy Commissioner if the breach is significant. Document everything and conduct a post-incident review.

Can we use patient data to train our AI model?

Using PHI for AI training requires explicit consent or proper de-identification. De-identified data that cannot reasonably be re-identified is no longer PHI under PHIPA. However, de-identification standards are strict and should be verified by experts.

What audit logs are required for AI systems?

PHIPA requires logs of who accessed PHI, when, and what was accessed. For AI systems, this means logging queries, responses containing PHI, administrative access, and any data exports. Logs must be retained and protected from tampering.

Need PHIPA-Compliant AI for Healthcare?

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