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Solutions · Healthtech & clinics

Care teams use AI. PHI shouldn't.

The people closest to patient records are the same people drafting summaries, referrals, and replies with AI, in the same browser as the chart. The control has to live where both happen.

The duty you carry

Under PHIPA and its provincial counterparts, custodians and their agents answer for every use and disclosure of personal health information, and a public AI tool is not a permitted destination. One pasted referral can carry a name, a health card number, and a diagnosis at once. And trust is the clinical currency: patients forgive slow software, not leaked charts.

The moment it breaks

Synthetic example. The real version happens on your busiest day.

TypedDraft a referral summary: patient Noah Bergeron, health card 5584-486-674-YM, presents with type 2 diabetes, A1C 9.1.
SentDraft a referral summary: patient [NAME], health card [PHI], presents with [HEALTH], A1C 9.1.

The summary still gets drafted, with placeholders. The patient's identity and condition never leave the organization.

Caught, in your vocabulary

Health card and record numbers

The identifiers health-privacy law is written around, caught in prompts and file uploads alike.

Diagnoses and clinical notes

Conditions, results, and intake notes: personal health information even when the name is missing.

Patient names and contacts

The details that connect a clinical story to a person.

The rules you answer to

01

PHIPA & provincial health-privacy law

Custodians answer for their agents' handling of PHI. A control at the point of disclosure, with an event log, is what reasonable measures look like in a browser-first clinic.

02

PIPEDA & Quebec Law 25

Health data is sensitive personal information. Quebec's regime adds explicit control and incident-recording expectations, with penalties reaching C$25M or 4% of worldwide turnover.

03

HIPAA (for U.S. patients)

Business associates carry safeguard duties of their own, and catching PHI before submission is an answer auditors understand.

Also relevant: ISO/IEC 27001 · NIST AI RMF

Answers for your situation

All guides

What the rules say

Can Quebec clinics use ChatGPT under the health and social services information act (Bill 3)?

Not with identifiable patient information unless the Act's conditions are met. Since July 1, 2024, the Act treats everything a covered clinic holds as confidential, and handing it to an outside provider generally requires a written agreement with prescribed clauses and, if the data leaves Quebec, a prior privacy impact assessment. A personal ChatGPT account meets neither condition, so clinics should provide approved tools and stop identifiable data at the prompt.

Read the guide
Can a research team put participant data into ChatGPT under an REB-approved protocol?

Only if your REB-approved protocol and the participants' consent allow it. TCPS 2 requires researchers to describe their data safeguards to the REB and to obtain approval before substantive changes, including changes to privacy and confidentiality measures, so running identifiable participant data through an unapproved AI tool may fall outside what was approved. Ask your REB before using the tool, not after.

Read the guide

Governance in practice

Our clinic approved an AI scribe. Can clinicians still paste notes into ChatGPT?

Approval attaches to a tool, not to the patient data. An AI scribe chosen through Ontario's AI Scribe Program comes with vetting, contract terms and a privacy assessment; a personal ChatGPT account comes with none of those, so pasting identifiable patient notes into it can be an unauthorized disclosure under PHIPA. Close the gap by giving clinicians a sanctioned way to draft letters and summaries, and by catching identifiable data before it reaches unapproved tools.

Read the guide

From our research