One form engine. Every module. Zero paper.

Paper forms become structured information the record can actually use. Electronic forms with conditional logic, AI-powered generation from paper forms, document OCR, mail merge templates and digital signatures, embedded across intake, clinical, consent and administration workflows.

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See it in motion.

A short, narrated explainer. Captions included.

Templates that fill themselves from the record.

Agreements, letters and packs are built once as templates. Merge fields pull the person's details, funding and services straight from the record, no retyping, no copy-paste errors.

HealthOS document template editor with merge fields for person, episode, facility and referral data

Forms that write structured data.

Form builder
Point-and-click form designer with text, dropdowns, date pickers, calculated fields, conditional sections and validation rules. No code required, clinicians can build their own.
Public intake forms
Self-service registration, pre-admission questionnaires and consent forms accessible via a public link. Responses flow directly into the intake pipeline.
Document OCR
Scan paper documents and extract structured data. Referral letters, pathology results and handwritten notes are digitised, indexed and stored against the person record.
Mail merge
Template-based document generation. Discharge summaries, care plans, letters to GPs and invoices, populated from the clinical record and generated as PDF on demand.
Digital signatures
Built-in electronic signatures for consent forms, service agreements and intake documents. Signed on-screen, stored against the person record with full audit trail.
AI form generation
Upload a photo of a paper form, referral template, assessment sheet, consent document, and the AI generates an electronic form with fields, validation and conditional logic. Review, adjust and publish in minutes instead of hours.

Build forms that write to FHIR.

Fields bind to the record, so when a clinician fills in a form the responses are captured as structured data rather than a dead PDF, and discharge-summary diagnoses write to the clinical data model today. Report on them, trigger a care pathway off them, or feed them to research: structured data from the point of care.

Not a bolt-on, embedded everywhere

The eForms engine isn't a separate product. It powers intake consent, clinical assessments, discharge summaries, participant goals, wound assessments and medication reviews. Same engine, same builder, same structured output, used across every HealthOS module.

  • Intake, consent forms, eligibility screening, pre-admission questionnaires
  • Care Delivery, clinical assessments, progress notes, wound charts
  • Disability, NDIS goals and outcomes, service delivery records
  • Research, study consent, CRF data capture, protocol checklists

From paper to structured data

Referral letters arrive as scanned documents. Pathology results come as PDFs. The document OCR service digitises scanned documents, extracts structured fields where possible, and stores everything against the person record, searchable and linked.

  • Optical character recognition with field extraction
  • Human review for low-confidence extractions
  • Stored against the person record with metadata tagging
  • Full-text search across all stored documents

Public-facing forms

Share a link and collect information before the first appointment. Pre-admission questionnaires, self-service registration and consent collection, responses flow directly into the HealthOS intake pipeline with no manual re-entry.

  • Public URL with optional access code for security
  • Mobile-responsive and accessible (WCAG 2.1 AA)
  • Auto-creates a person record on submission
  • Electronic signature capture for legally binding consent

Paper to digital, powered by AI

Digitising existing paper forms used to mean rebuilding each one field by field. Now you can photograph or scan any paper form and the AI generates a structured electronic equivalent, complete with field types, validation rules and conditional sections. Clinicians review and publish, cutting form migration from hours to minutes.

  • Upload a photo or scan of any paper form
  • AI detects fields, labels, checkboxes and layout
  • Generates a structured HealthOS form with validation and conditional logic
  • Review and adjust in the point-and-click builder before publishing
  • Works for referral templates, assessment sheets, consent documents and intake forms

Related capabilities

See the forms engine in action.

A 45-minute walkthrough covering form building, FHIR mapping and document management.