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Family Practice Transformation concept 5 min read

Case study

The Drawer of Forms: Drafting Sick Notes, Insurance Forms and Referral Letters From the Chart

A family practice runs a second, invisible practice made of paperwork nobody was trained for: insurance forms, disability paperwork, school notes and referral letters. This is the transformation that drafts each one from the chart that already holds the answer, and leaves the clinical opinion to the clinician.

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 Ontario family health organization

Signed off by Lead physician, with the practice administrator scoping

Industry

Primary care (family medicine), 6 physicians, 2 nurse practitioners, about 11,000 rostered patients

Legacy stack

EMR holding the full longitudinal chartA drawer and an inbox of third-party form templatesFax line for referral letters and specialist repliesWord templates saved on one administrator's desktop

Engagement

Concept

A dense block of stacked lines resolving into a few clean blocks, with a document between them. Cover art for The Drawer of Forms: Drafting Sick Notes, Insurance Forms and Referral Letters From the Chart. A dense block of stacked lines resolving into a few clean blocks, with a document between them. Cover art for The Drawer of Forms: Drafting Sick Notes, Insurance Forms and Referral Letters From the Chart.
Contents

There is a drawer in every family practice, and an inbox that behaves like one. It holds the insurance form that needs three dates from a chart nobody has open, the disability paperwork that has been waiting nine days, the school note, the pre-operative letter a surgeon’s office keeps faxing about. None of it is clinical work and all of it requires a clinician. It gets done at 8pm, badly, in the order the pile happens to be in.

This is the transformation we would run for that practice. 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 paperwork actually cost a practice?

The Commonwealth Fund published an issue brief on administrative burden in primary care in October 2025, based on hour-long qualitative interviews conducted in March 2025 with twelve people, eleven of them primary care physicians in family and general internal medicine. That is a small qualitative sample and it is quoted here as evidence of what clinicians describe rather than as a measurement of how many hours it takes.

The measurements come from Canada. OntarioMD’s evaluation of AI scribes across 162 primary care providers found that in routine practice, clinicians reported roughly a three-hour weekly reduction in after-hours administrative time. Canada Health Infoway’s national AI Scribe Program, whose six-month results were published in June 2026 across a cohort of more than 12,000 enrolled primary care clinicians, found nearly 70% reporting reduced administrative burden and almost 80% reporting lower cognitive load.

Both of those measured documentation of the visit. The drawer is what is left over once the visit note is handled, and it is the part no scribe touches, because it is not generated by a conversation with a patient. It is generated by a third party who wants facts the chart already holds.

Before and after: the form

Drag the handle. The before is the blank third-party form beside a chart nobody has time to read; the after is the drafted form designed in its place.

Drafted from the chart
Drafted, unsigned awaiting signature
2024-11-08 Date of onset · Encounter note, 08 Nov 2024
Lumbar disc herniation Diagnosis · Problem list, active
Naproxen 500mg BID Current medications · Med list, 12 Jun 2026
MRI lumbar, 03 Feb 2026 Investigations · Result, 03 Feb 2026
Referred 2023 Physiotherapy referral · Older than 18 mo

Prognosis and restrictions

Every fact shows the chart entry it came from. The 2023 referral is flagged, not used.

The form in the drawer
Insurer disability form waiting 9 days
Date of onset somewhere in 2024 notes
Diagnosis which one is current?
Current medications check for stops
Investigations to date three separate results
Prognosis and restrictions clinical opinion

Not clinical work, and it still needs a clinician. It gets done at 8pm, in whatever order the pile is in.

The form does not change, because a third party owns it. What changes is that the facts arrive already pulled, each one showing the chart entry and date it came from, leaving the clinician the part only a clinician can do.

What we built

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

  • We treat the form as a schema, not a document. Each third-party form becomes a map from its fields to the chart facts that answer them, which is why adding the next form is hours of mapping rather than a rebuild. The alternative, having a model read a scanned PDF and free-write into it, demos better and fails silently.
  • We show provenance on every extracted fact, with the chart entry and its date, and we flag anything older than a configurable window rather than using it silently. Stale is the dangerous failure here, not wrong: a resolved diagnosis carried into a disability form is a specific and expensive kind of error.
  • We stop the draft at the clinical opinion, deliberately. The system produces dates, diagnoses, medications, investigations and their results, and writes nothing about prognosis, capacity or restriction. This is the decision most likely to be argued with, because those are the fields that take the longest.
  • We build the queue to sort by deadline and by who is waiting, replacing an ordering that was previously determined by which piece of paper was on top.
  • We wire evals from day one against the practice’s own completed forms, scored on whether each extracted field matched what the clinician actually entered, and every correction becomes a test case.

How it works

The form and letter loop: a third-party form is mapped to chart facts, each fact is drafted with the chart entry and date it came from, the clinician adds the clinical opinion and signs, and only the signed document leaves the practice.The form and letter loop: a third-party form is mapped to chart facts, each fact is drafted with the chart entry and date it came from, the clinician adds the clinical opinion and signs, and only the signed document leaves the practice.

The EMR stays the source of truth. An incoming form is matched to its mapping, the mapped fields are drafted from the chart with provenance attached, and anything stale or missing is flagged rather than filled. The clinician reviews the facts, writes the opinion, and signs. Only the signed document leaves the practice. Nothing is transmitted, faxed or filed on the system’s own initiative.

Because chart context stays in Canadian infrastructure and processing runs with zero data retention, the design lines up with what PHIPA expects: a completed 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 Infoway results give the honest shape of the return: clinicians saved over an hour a week during work hours, and only 20% of them turned that time into appointment availability, while 50% spent it on other administrative work. That is the number a practice should plan against. Time returned does not automatically become capacity, and a practice that assumes it will has bought an hour of relief rather than an hour of revenue. Deciding in advance which of the two you want is part of the engagement, not an afterthought.

Break-even for the first slice is about forty drafted forms and letters a week at a typical loaded hourly cost, and the practice should substitute its own figure.

The limit worth stating: this does nothing for the forms nobody has mapped yet. A practice facing a long tail of one-off third-party paperwork, rather than a few high-volume forms, will see a much smaller share of the drawer disappear, and should ask for the volume breakdown before committing.

The outcomes

Reduction in after-hours administrative time reported with AI documentation support

About 3 hrs/wk1

Industry benchmark

Clinicians reporting reduced administrative burden

Nearly 70%2

Industry benchmark

Clinicians who converted saved time into appointment capacity

20%3

Industry benchmark

Break-even, in forms and letters per week

About 404

Design target

Time to the first shippable slice

4-6 wk5

Design target

1 OntarioMD AI Scribe evaluation of 162 primary care providers: in routine practice, PCPs using an AI scribe reported roughly a three-hour weekly reduction in time spent on administrative tasks after hours. The 69.5% documentation-time reduction from the same evaluation was measured in a lab setting and is not claimed here.

2 Canada Health Infoway AI Scribe Program, six-month results published June 2026 across a national cohort of more than 12,000 enrolled primary care clinicians. Almost 80% also reported lower cognitive load.

3 Canada Health Infoway AI Scribe Program, six-month results published June 2026. Clinicians saved more than one hour per week during work hours; 20% redirected that time to increase appointment availability, and 50% redirected it to other administrative work.

4 Design-target arithmetic, not a measured result. The first slice is a fixed fee; break-even is stated as the number of drafted forms and letters per week whose preparation time would cover it at the practice's own loaded clinical and administrative hourly cost.

5 Standard first-slice scope: one form class, one metric, evals and an approval gate included.

Frequently asked questions

Is a doctor still signing these?

Yes, and that is not a formality. A sick note, a disability form and a referral letter are all clinical opinions with a signature attached, and the signature is what gives them force. The system drafts the factual portion from the chart, dates, diagnoses, medications, prior investigations, and stops at the opinion. The clinician writes the opinion and signs. Nothing leaves the practice unsigned.

What happens when it pulls the wrong diagnosis from the chart?

Every fact in the draft is shown with the chart entry it came from and the date of that entry, so checking it is a glance rather than an investigation. The failure mode that matters most is not a wrong fact, it is a stale one: a diagnosis that was resolved two years ago, or a medication that was stopped. Entries older than a configurable window are flagged rather than used silently, and every clinician correction becomes a test case.

Our forms come from dozens of different third parties. Can it handle that?

That is the actual problem, and it is why the first slice is one form class rather than all of them. Insurers, schools, employers and government programs each want the same underlying facts in a different order under different headings. The system maps the chart to the fields a given form asks for; adding a new form is a mapping exercise measured in hours, not a rebuild. Forms nobody has mapped yet still get done the old way, and the practice can see which ones those are.

Does patient information leave the practice?

No. Chart context stays in Canadian infrastructure, the system reads the EMR through the same permissions the clinician already has, processing runs with zero data retention, and nothing trains anyone's model. A privacy impact assessment is completed before deployment, and the vendor agreement names the processor as an agent under section 17 of PHIPA.

What would this cost to try?

A fixed-fee first slice on the single highest-volume form in the practice, which is usually an insurer or disability form rather than the sick notes everyone complains about. It ships in four to six weeks with its own metric, and break-even is stated in forms per week rather than in licences.

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