AI Automation for Ontario Hospitals
Fewer manual workflows. Faster referrals, pharmacy reviews and bed transfers. Built with your informatics team, live in weeks.
Hospital staff spend hours a day on calls, records and reports that never needed a clinician in the first place. Post discharge follow up. Referrals retyped from a fax. Reports assembled by hand each month. That work does not show up on a budget line, so it never gets fixed. It just gets absorbed.
Cabot builds AI agents that take that work off your team and write the result straight into Epic, Oracle Health or MEDITECH, the record system you already run. PHIPA compliant, hosted in Canada, live in weeks rather than a multi year platform rollout.
Book a 20 Minute Consultation See the four AI solutions ↓
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The work slowing your team down probably looks like this
Calls that take licensed staff away from patients
Post discharge follow up, pre procedure confirmations, unit lines. Individually small, and several hundred a week is a role nobody budgeted for.
Referrals and records retyped by hand
A fax or a PDF arrives holding structured information, and someone has to read it and key it in. Slow, and every retype is a chance to get a date of birth wrong.
Reports and reviews assembled manually
Pharmacy medication reviews, unit level reporting, handover summaries. The judgment is the job. Assembling the list should not be.
Bed flow decisions made on incomplete information
A command centre dashboard shows the current state. Somebody still makes thirty calls to change it.
Tell us which workflow is costing you the most. We will tell you whether automation can realistically improve it.
Book Your 20 Minute CallFour ways we put AI to work in your hospital
Each solution below is built around the outcome it produces, not the model behind it.
AI voice agents
Handle the administrative calls that interrupt clinical work: post discharge follow up, pre procedure confirmation, unit lines, command centre coordination. Anything clinical routes to a person immediately, by design, not by setting. Every call documents itself in the record.
Referral and document intelligence
Reads referrals and outside records that arrive as fax or PDF and hands them over structured, with a confidence score and a person in the loop for anything uncertain. Works the receiving end of what Ontario Health and hospital intake platforms send.
Pharmacy intelligence
Assembles the medication use reports and review lists a pharmacist currently builds by hand, and flags patients who need a review rather than making someone dig for them. Community and unit calls are handled and logged the same way.
Operational intelligence and workflow automation
Unit level reporting, handover summaries and bed and transfer coordination, generated from data already in your systems rather than assembled by hand or stuck behind an informatics backlog.
See any of these on a real workflow before you decide anything.
Book a Walkthrough CallWhat this looks like in practice
An honest note. None of the work below is an Ontario hospital yet. 16+ years of healthcare delivery sit behind Cabot, and these are the engagements that transfer most directly to a hospital problem. When an Ontario hospital engagement can be named publicly, it leads this section.
Interoperability
Built the integration layer and standards mapping that connected a clinical product to the systems around it, the same problem a hospital faces from the other direction.
Analytics
Turned data that already existed into reporting clinicians and administrators could actually use, the same shape as the unit level reporting problem above.
Device integration
Built the interface carrying monitoring device output into the clinical workflow that uses it.
Ask how we would approach your situation, and we will tell you honestly which of these compares and which does not.
Talk to Us for 20 MinutesWhat your privacy officer will ask first, and how we integrate
Two questions open every Ontario conversation before anything about capability. Where does the data live, and who can reach it. With AI there is a third: where do the models run.
PHIPA
Every build is designed against the Personal Health Information Protection Act from the architecture stage. Role based access decided before code is written, encryption in transit and at rest, audit logging on who saw what and when, retention rules applied at the point of capture.
Canadian data residency
Personal health information stays in Canada and stays in your environment. It does not pass through ours.
Where the models run
The models reading your documents and running your calls run inside Canadian infrastructure. Personal health information is not used to train a model, ours or anyone else's.
Integration
Everything above only counts if it writes into the record you already run. Voice agent documentation, referral output and AI generated reporting write into Epic, Oracle Health and MEDITECH. The interface queue on your side, not the AI, is usually what sets the timeline, and we say so in the first conversation.
Put one of our engineers on a call with your integration lead. No sales person required.
Ask an Engineer DirectlyHow a first engagement actually runs
Solutions architects and integration engineers who scope the work stay on it through delivery. Where the work touches clinical workflow, we expect to be corrected by your clinical staff, and we build the time for that in.
Agree the number
Before scoping anything, we agree which measure this is meant to move and where it sits today.
Scope one workflow
One unit, one call type, one intake stream. Small enough to run as a project, real enough that the result means something.
Deploy, integrate, measure
Deployed with your informatics team, integrated into the record, measured against the number agreed at step one.
Ontario Based Team. On Site When You Need Us.
Windsor and Hamilton, Ontario. We would rather have the first substantive conversation in your building than on a video call, because half of what matters about a workflow is visible in ten minutes on a unit and invisible in an hour of description.
You do not have to decide about an AI strategy. You have to decide about one unit.
Start With a 20 Minute CallQuestions Ontario hospitals ask us
How much does a first engagement cost, and how long does it run?
One workflow, scoped as a project with a written start and end, priced against the number it is meant to move. Book a short call and we give you both after one scoping conversation.
Where does our data live, and is it used to train any model?
In Canada, inside your environment. Personal health information is not used to train a model, ours or anyone else's.
Do you work with our Epic, Oracle Health or MEDITECH environment?
Yes. Everything we deploy writes into the record across all three. What varies by hospital is the interface queue, not whether integration is possible.
How do we get started?
Book a 20 minute call. We will ask what workflow is costing you the most right now and tell you plainly whether AI is the fix.
Ready to talk for 20 minutes?
Tell us about the workflow costing you the most right now. Pick a time that works, no back and forth.
Book Your ConsultationPHIPA compliant, hosted in Canada | We respond within one business day