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Healthcare

Generate prescription PDFs from your data

A prescription is dispensed by somebody who was not in the room. These layouts put the preparation, the quantity and the directions where a dispenser reads them in that order, and mark the one item that needs a check before it leaves the counter.

3 designs, each a separate take on the same document rather than a recolour of one layout: Side rail, Minimal, type-led and Framed ceremonial.Every preview below is the actual compiled output, not a mock-up.

Open one in the editor and render it from your own JSON over the API — 1 page of A5 portrait and A4 portrait, the same engine either way.

Designs
3
Page size
A5 portrait and A4 portrait
Length
1 page
Document family
Formal record

Prescription designs

How the prescription designs differ

Same document, same data model, 3 different arguments about how it should look on paper. Pick on layout and typography — the content behaves identically.

DesignLayoutPaletteTypefacesPages
Clinic PadSide railRoyal & boneLibre Baskerville + Inter1 · A5 portrait
Dispense OrderMinimal, type-ledOxide & tealInter only1 · A4 portrait
Script FormalFramed ceremonialPlum & goldPlayfair Display + EB Garamond1 · A4 portrait

What your data drives in a prescription

Each design is authored against an explicit reflow contract, so it is defined up front which blocks are emitted once per record and which fields absorb longer content. That is what stops the layout falling apart at a hundred rows.

DesignRepeats per recordGrows with your data
Clinic Padprescribed items down the sheet, each with its dose, quantity and directionsany item's directions or the note to the pharmacist
Dispense Orderone item per row, its preparation and quantity hung in the margin; the checks at the footevery item's directions and counselling note; the standfirst
Script Formalauthorised items down the axis; the condition rows; the signature pairthe recital; every item's directions; the conditions

Start from one of these prescription designs

Open a design in the editor and the agent reshapes it around your schema — then render it from your own data over the API, or let your users edit it in the embedded editor.