Repeat prescriptions: routine to protocol, controlled to the doctor

The question this file answersDo we really need a doctor to open every repeat request just to find the three that need one?

Fits: clinics and hospital groups seeing 50–300+ patients a day.

Typical day

What the desk looks like today

Typical pattern, not a measured practice — the healthcare playbook has no published volume for refill requests, so none appears here. Every request lands in one inbox: a routine repeat beside a new controlled-substance request beside a dose query. A clinician opens each as if equal, usually before morning clinic.

What changes

What Monday looks like after

Before clinic starts, the prescriber opens the requests that genuinely need a decision — controlled drugs, interactions, the unusual dose — while the routine repeats sit drafted and waiting for a signature. Nothing has been prescribed; the morning has been re-ordered.

Typical, not a measured client result. Every figure here comes from the playbook source named below.

Triaged

routine, review, refuse — triage only, nothing clinical; no published figure for this desk

Before: routine repeats sit in the same inbox as a new controlled-substance request. After: the inbox is triaged and protocol drafts wait for a signature. There is no percentage because none is published for refills.

No published figure for this desk. The range lives on the parent file: Intake forms into the EHR; reception keeps the greeting →

How this file is built

There is no benchmark for refill-request triage, so the hero shows what the build does rather than a number. Protocol requests are drafted for a signature; safety, controlled drugs and every prescribing decision stay with a clinician.

What we install

What we put in front of the systems you already run

Your EHR stays — Epic, Cerner, MEDITECH or the one you run — and the sorting is borrowed from our intake file, applied to one inbox:

each incoming request is classified — within protocol, needs review, or refuse-and-check — using your repeat-prescribing rules and the medication list in the EHR
for the within-protocol ones a message is drafted for the clinician to sign, never sent alone
controlled drugs, safety flags and anything unclear are placed at the top of the clinician's queue with the record attached.

What stays human — and what this will not do

Every prescribing decision. Controlled drugs. Safety. The conversation with the patient.

What can go wrong — and what we do about it

A protocol that lives in one clinician's head cannot be applied by the build; writing it down is the first two weeks of work, and until then the review queue is long. Requests arriving by fax or as free-text portal messages are read less reliably than structured ones — those fall to review. The parent file's intake range covers registration admin, not refills; no prescribing decision is automated at any setting.

What it costs to get there

The path: free 60-second estimate → free 20-minute review → paid audit of this one process (€1.5–3K, typically two weeks) → pilot with your people in the loop (€10–20K, weeks, not quarters). No transformation programme. Prices are public, on the services page →

Scoped in the audit — the playbook has no estimate for this exact desk.

This is about you if…

Do repeat requests arrive in the same inbox as controlled-drug and dosage queries?
Are your repeat-prescribing protocols written down per drug class, not held in one clinician's head?

What does this mean in euros?

That depends on your volumes and wage costs — this page will not invent the number. The free 60-second estimate runs that calculation from your answers, with every multiplier sourced.

Get your free savings estimate 60 seconds · no sales call Or write first → Map a healthcare process like this one — free, 60 seconds →

Not a named Aperanda client. Process file · Healthcare.

Short process file. Same build as its parent file; the playbook has no separate volume or benchmark for this desk.

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