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Imaging & Labs Transformation concept 4 min read

Case study

The Fax Machine Is the Bottleneck: Turning Requisitions Into Booked, Protocolled Studies

An imaging clinic's queue does not start at the scanner, it starts at a fax tray full of handwritten requisitions that have to be read, protocolled and matched against prior studies. This is the transformation that structures the requisition on arrival and leaves the protocol decision with a radiologist.

No client engagement behind this piece: it is how this category of product would be transformed, with benchmark-sourced targets.

Who this is for

A typical independent Ontario community imaging clinic

Signed off by Clinic administrator, with the lead radiologist approving protocol rules

Industry

Diagnostic imaging (community MRI, CT and ultrasound), 2 sites, 4 radiologists, 9 technologists, 6 booking and administrative staff

Legacy stack

RIS with free-text requisition fieldsPACS holding prior studies, searched by name and dateIncoming fax line, largely handwrittenBooking done by phone, after protocolling

Engagement

Concept

Several separate lines curving in from one side and resolving into an inbox tray. Cover art for The Fax Machine Is the Bottleneck: Turning Requisitions Into Booked, Protocolled Studies. Several separate lines curving in from one side and resolving into an inbox tray. Cover art for The Fax Machine Is the Bottleneck: Turning Requisitions Into Booked, Protocolled Studies.
Contents

The queue at a community imaging clinic does not begin at the scanner. It begins in a fax tray, where a handwritten requisition sits waiting for someone to decipher the clinical indication, key it into the RIS, work out whether there is a prior study worth pulling, send it for protocolling, and then phone a patient to book. The scanner is idle for none of that, and the patient’s wait includes all of it.

This is the transformation we would run for that clinic. It is presented as a concept, built on the same method we use in client engagements, so the before, the after, and the path between them are all visible.

What does the wait actually cost?

The Canadian Association of Radiologists, with Deloitte, reports that Canadian patients wait an average of 84 days for an MRI and 66 days for a CT, and estimates that chronic underinvestment in diagnostic imaging costs Canada $64 billion a year in lost GDP. In 2023, more than two million Canadians lost an average estimated $1,017 in annual wages while waiting for imaging. The CAR published its national maximum wait time access targets for MRI and CT in a policy statement in March 2026.

Almost all of that is capacity: scanners, radiologists, operating hours, and no software fixes any of them. This study is about the part that is not capacity. Between a referrer signing a requisition and a patient standing in front of a machine, there is a stretch of purely administrative time during which the scanner is fully available and the patient is waiting on a fax tray. That segment is small next to 84 days, and it is the segment a clinic actually controls.

Before and after: the requisition

Drag the handle. The before is the fax tray and four handoffs; the after is the structured requisition designed in its place.

Structured on arrival
Requisition, structured day 0
M. Fontaine, 1971-06-02 Patient
MRI lumbar spine, non-contrast Modality
Missing. Referrer flagged today. Clinical indication
Unread. Needs a person. Handwritten note, line 3

Candidate prior study

MRI lumbar, 2024-09-11

Two patients share this surname. Confirm before attaching.

Protocol proposed against the lead radiologist's rules. A radiologist still confirms it.

The fax tray
One requisition scanner idle throughout
1 Fax arrives, handwritten day 0 2 Booking staff decipher and key it day 2 3 Sent for protocolling day 4 4 Missing indication found, referrer called day 7 5 Patient phoned to book day 9

Nine days of the patient's wait, none of it capacity. This is the part a clinic actually controls.

The radiologist still assigns the protocol and a person still confirms the priors. What changes is that the requisition arrives as data instead of as an image of handwriting.

What we built

The concept above is the output of the same engagement steps we run in client work, and several are decisions a competent peer could argue with.

  • We show unread fields as unread rather than filling them with a best guess. Handwritten requisitions are genuinely hard, and a system that confidently transcribes an ambiguous clinical indication is worse than one that admits it cannot. This makes the demo less impressive on purpose.
  • We made prior-study attachment a confirmation rather than a match. Automatic matching above a threshold would be simpler and would eventually attach the wrong patient’s prior, which in imaging is a serious harm. Common names are not an edge case, they are Tuesday.
  • We have the system check for a missing clinical indication at intake rather than at protocolling. That single check moves a whole category of delay from the radiologist’s queue to the moment the fax arrives, when the referrer’s office is still reachable.
  • We kept protocol assignment as a radiologist decision against written rules, with the evidence shown. The protocol determines what the study can answer, and a wrong one costs a patient another wait cycle.
  • We wire evals from day one against the clinic’s own historical requisitions, scored separately on field extraction and on whether the proposed protocol matched what the radiologist chose, because those fail differently.

How it works

The requisition intake loop: an incoming fax is structured into fields with unread items flagged, candidate prior studies are surfaced from PACS for confirmation, a radiologist confirms the protocol against written rules, and only then is the study booked.The requisition intake loop: an incoming fax is structured into fields with unread items flagged, candidate prior studies are surfaced from PACS for confirmation, a radiologist confirms the protocol against written rules, and only then is the study booked.

The RIS and PACS stay the sources of truth. An incoming requisition is structured on arrival, with anything unreadable flagged rather than guessed and a missing clinical indication raised while the referrer is still reachable. Candidate prior studies are surfaced from PACS for a person to confirm. A radiologist confirms or changes the proposed protocol against the rules the lead radiologist wrote. Only then does booking happen.

Because requisitions, reports and images stay in Canadian infrastructure and processing runs with zero data retention, the design lines up with what PHIPA expects: a privacy impact assessment before deployment, an agreement naming the processor as an agent under section 17, and an audit log on every access to personal health information.

Why this pays back

The return is administrative hours and a shorter administrative segment of the patient’s wait. Break-even for the first slice is about a hundred and twenty requisitions a week at the clinic’s own loaded administrative cost.

The honest limit, and it is a large one: this does not shorten an 84-day MRI wait in any way a patient would notice. The wait is scanner hours and radiologist hours, and this touches neither. It removes days from the administrative segment, it stops requisitions stalling on a missing indication, and it gives booking staff their afternoons back. A clinic buying this expecting to move the number in the CAR report will be disappointed, and should hear that before signing rather than at the first quarterly review.

The outcomes

Average Canadian wait for an MRI

84 days1

Industry benchmark

Estimated annual cost of imaging wait times to Canada's GDP

$64B2

Industry benchmark

Requisition to booked and protocolled

Read, keyed, protocolled, phoned Structured on arrival, one review

4 handoffs to 13

Design target

Break-even, in requisitions per week

About 1204

Design target

Time to the first shippable slice

4-6 wk5

Design target

1 Deloitte and the Canadian Association of Radiologists, national report on medical imaging wait times: Canadian patients wait an average of 84 days for an MRI and 66 days for a CT scan. The CAR published its Wait Times Policy Statement, with national maximum wait time access targets for MRI and CT, in March 2026.

2 Deloitte and the Canadian Association of Radiologists: chronic underinvestment in diagnostic imaging is estimated to cost Canada $64 billion annually in lost GDP. In 2023, more than two million Canadians lost an average estimated $1,017 in annual wages while waiting for diagnostic imaging.

3 Design target measured against the recreated legacy intake flow shown in the before/after above: fax read by booking staff, keyed into the RIS, sent for protocolling, then a phone call to the patient.

4 Design-target arithmetic, not a measured result. The first slice is a fixed fee; break-even is stated as the number of requisitions per week whose intake handling time would cover it at the clinic's own loaded administrative hourly cost.

5 Standard first-slice scope: one modality, one metric, evals and a radiologist approval gate on protocol assignment.

Frequently asked questions

Does the AI decide the imaging protocol?

No. It proposes a protocol against rules the lead radiologist wrote, shows which part of the requisition and which prior study it relied on, and a radiologist confirms. Protocol selection determines what the study can and cannot answer, and getting it wrong wastes the patient's slot and their wait. Anything outside the written rules, or below the confidence floor, goes to a radiologist unproposed rather than guessed.

Our requisitions are handwritten. Will it read them?

Imperfectly, and the design assumes that. Fields it cannot read confidently are shown as unread rather than filled with a best guess, and a person completes them. That is a slower demo and a safer system. The larger gain is not transcription anyway, it is that a structured requisition can be matched against priors and checked for the missing clinical indication that would otherwise be discovered at protocolling.

How does it find prior studies?

It searches PACS on the identifiers already in the requisition and surfaces candidate priors for confirmation rather than attaching them silently. Prior retrieval is where most of the manual time goes and where a wrong match is most consequential, so a person confirms every attachment. Patients with common names are exactly the case a confidence-thresholded automatic match would get wrong.

Does patient information leave the clinic?

No. Requisitions, reports and images stay in Canadian infrastructure, the system reads the RIS and PACS through the same permissions staff already have, processing runs with zero data retention, and nothing trains anyone's model. A privacy impact assessment is completed before deployment and the agreement names the processor as an agent under section 17 of PHIPA.

What would this cost to try?

A fixed-fee first slice on one modality, usually MRI, because it carries the longest wait and the most protocol variation. It ships in four to six weeks with its own metric, and break-even is stated in requisitions per week rather than in licences.

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