Health care · Toronto, ON
Private AI for clinics and health teams in Toronto
Toronto clinics, care homes and health administrators work inside Ontario’s own rules. Digby answers from your documents with the passage attached, keeps stored data in Canada, and runs the models on Canadian-located hardware — so the answer is checkable and the question “where does it go” has a short reply.
01
What Ontario asks of a health information custodian
The Personal Health Information Protection Act governs health information custodians in Ontario: the circle of care, the duty to protect, and rules on disclosing outside it. It applies to hospitals, clinics, community services and long-term care alike.
Clinical records belong in the clinical system. What a private AI tool can carry is the surrounding material — policies, forms, training, correspondence — where the custodian’s obligation is still to know exactly where that text sits.
02
Toronto’s health reality
Toronto’s health sector runs from academic hospital networks to community health centres, walk-in clinics and home-care providers, all handling personal health information under Ontario’s health statute.
Most of the staff time is not clinical: it is policies, forms, rosters, training and correspondence, in a city where those documents appear in dozens of languages.
03
What Digby does — and what we do not claim
Digby is not a medical device, not a diagnostic tool and not clinical decision support. It does not interpret tests, triage patients or recommend treatment. It works on the paperwork around care, never on the clinical judgement itself.
- 01
Policy grounding
ask a question about intake, consent, scheduling or billing and get the passage from your own policy manual.
- 02
Administrative drafting
referral letters, patient-facing explanations, staff memos, drafted in plain language and reviewed by a person.
- 03
Training material
turn a protocol into a short teaching note, or answer a new hire’s question from the document it came from.
- 04
Reporting and planning
summarise operational data a manager pastes in, without sending patient records anywhere they should not go.
04
Where the data lives, and where the models run
Stored data — accounts, conversations, memory and files — sits in Canada, in AWS Canada Central (Montréal). The models that write answers run on NVIDIA GPU hardware located in Canada and operated from Canada. That second part is the one most vendors gloss: storage residency is not the same claim as inference residency, and for a Toronto clinic the difference is exactly the one a privacy review will ask about.
If the requirement is that nothing leaves infrastructure you control, Digby can be self-hosted with Docker Compose against any OpenAI-compatible model server. That is a different trade — you run it — and it is documented rather than implied.
05
A sensible first month for a Toronto clinic
- 01
One non-clinical corpus
the policy manual and staff onboarding material, in a project with access limited to the people who already read them.
- 02
One workflow, one reviewer
pick a single recurring document type and name the person who checks every draft before it leaves.
- 03
Confirm the boundary in writing
state that clinical questions are out of scope, and make sure the whole team has read that line.
06
Other Canadian cities
Toronto firms and organisations often work across provincial lines, and the statute changes at the border. The same health care material, set up for the next province over:
Frequently asked questions
Does PHIPA apply to a Toronto walk-in clinic using an AI assistant?
Yes. A clinic is a health information custodian under PHIPA, and its duties apply to any system that handles personal health information it holds. The workable pattern is to keep clinical records out of the tool and use it for administrative material.
Is Digby clinical decision support?
No. It is not a medical device, does not interpret tests, does not triage and does not recommend treatment. It reads the paperwork around care.
What does Digby cost for a Toronto clinic?
Free to start, billed in Canadian dollars: the entry point is CAD $0 and no account is needed to begin. For larger engagements — more seats, more volume or a dedicated deployment — pricing is set with you rather than listed here, so contact us and a person replies with a written number. Heavier features such as deep research have daily limits.
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No account needed. Models and data stay in Canada.