Healthcare · Canada

AI for clinics and healthcare organizations: referrals, intake, policies and equipment records

Administrative AI for clinics, health teams and hospital departments. It reads the referrals, forms and records that slow your staff down, runs privately, and leaves every clinical decision with clinicians.

Talk to us about AI for healthcare

Why now

Where AI fits in healthcare

Much of the paperwork in healthcare is administrative, and that is where AI can help without touching clinical judgment: referral letters, intake forms, requisitions, insurer and disability forms, policies and procedures, equipment inventories and maintenance work orders. Clinics and hospital departments receive these by fax, email and portal, and staff spend hours sorting, retyping and searching them. Models running privately can read them, route them to the right queue and answer staff questions from your own approved policies, citing the section. Clinical priority, diagnosis and treatment stay with clinicians, and we keep that line explicit in every system we build.

Common challenges

Referrals and requisitions by fax. Referral letters, requisitions and reports still arrive as faxes and scanned PDFs. Staff read each one, match it to a patient, check it is complete and enter it into the EMR before anyone can book.
Incomplete intake. Missing health card details, referring provider information or required test results lead to call-backs, re-faxes and delays for patients.
Policies spread across binders and intranets. Infection prevention, consent, privacy and equipment procedures are revised often, and staff need the current version when they need it, not after a search through shared folders.
Recall and maintenance records that don't connect. When a manufacturer or Health Canada issues a device recall, biomedical engineering has to match model, lot and serial numbers against inventories and work orders kept in separate systems.

Use cases

AI automation for healthcare

Referral intake and routing

Extract patient, referring provider, reason for referral and attached results from each incoming referral, check them against your criteria, and place the referral in the right queue for a clinician to prioritize.

Incomplete referral follow-up

Flag what is missing and draft the request back to the referring office for staff to send.

Policy and procedure assistant

Answer staff questions from current approved policies with the section cited, and say plainly when no policy covers the question.

Device recall matching

Compare recall notices with equipment inventories and maintenance work orders to list the affected devices, where they are and their service status.

Insurer and disability form preparation

Pre-fill third-party forms from information already in the chart, leaving clinical statements for the clinician to complete and sign.

Administrative patient messages

Draft replies to common questions about appointments, preparation instructions and forms, reviewed by staff before they are sent.

Example workflow

Specialist clinic referral intake

01
A referral arrives by e-fax or secure email, and the system reads the letter and its attachments.
02
It extracts patient identifiers, the referring provider, the reason for referral and any test results, and checks them against the clinic's referral requirements.
03
Complete referrals are prepared for the EMR with a structured summary. Incomplete ones get a drafted request for the missing items.
04
A clinician reviews the summary beside the original letter and sets the clinical priority. The system does not decide urgency.
05
Booking staff schedule the appointment and send the patient instructions, and each step is recorded in the audit log.

Healthcare: matching a device recall to equipment recordsAnimated, narrated story: Omar connects recall notices, equipment inventories and work orders to Akurion and asks which infusion pumps are in the IP-300 recall. The answer gives the serial range and departments, each cited, using fictional sample data.

Data and privacy

Handling sensitive data

In Ontario, health information custodians such as physicians, clinics, hospitals and laboratories are governed by the Personal Health Information Protection Act (PHIPA), and other provinces have their own health privacy laws; organizations outside those laws generally fall under PIPEDA. Custodians remain responsible for health information handled on their behalf by agents and service providers. For health work we default to private deployment: open-weight models running in a Canadian cloud region you control or on hardware in your facility, no personal health information sent to third-party AI services, role-based access and full audit logs. Software intended to inform diagnosis or treatment can be regulated by Health Canada as a medical device, which is one reason we keep our systems to administrative and operational work. Your privacy officer decides what is appropriate.

Kitchener-Waterloo

Local support

Waterloo Region's hospitals, family health teams, specialist clinics, physiotherapy and dental practices all handle the same kinds of referral, intake and equipment records. From our base in Kitchener we can deploy on infrastructure you control.

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AI for healthcare: frequently asked questions

Our referrals still come by fax. Does that matter?

No. Faxes and scanned letters are converted to text and read like any other document, including typed letters with stamps and legible handwritten notes in the margins. Fields the system cannot read with confidence are flagged for staff rather than filled in. We test on a sample of your real referrals, de-identified where possible, before anything goes live.

Is clinic administration AI the same as an AI scribe?

No. AI scribes listen to visits and draft clinical notes, and there are dedicated products for that. We focus on the administrative work around care: referrals, forms, policies, equipment records and patient messages. If your clinicians already use a scribe, this work sits alongside it and does not change how visit notes are written or signed.

What happens when a referral lands in the wrong queue?

Routing is designed to be checked. Each referral shows the extracted details next to the original letter, staff can move it in one step, and anything that doesn't fit your criteria goes to a person rather than a default queue. Corrections are logged, so the routing rules can be adjusted, and your clinic keeps responsibility for patient care throughout.

Other industries

Insurance Banking & Financial Services Legal Accounting Manufacturing Real Estate

Tell us about the process you want to automate.

A 30-minute call is enough to tell whether AI is a fit, what a first project would look like and what it would take to run it in production.

Start a conversation dassjaylabs@gmail.com