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Live demo

AATD Case-Finder — governed decision-support demo

Live prototype of how Eye4Health structures alpha-1 antitrypsin deficiency (AATD) testing prompts: enter clinical flags, see explainable outputs with rationale and next steps, and evidence-linked logic you can govern — all without storing identifiers.

Published: 27 April 2026

Updated: 27 April 2026

Decision-support demo

  • Explainable support

    Each output shows why it triggered, with rationale and next steps.

  • Responsive by design

    Web, tablet, and phone layouts for clinical and field settings.

  • Source-backed logic

    Rules held in an explicit, versionable clinical pack — not buried in UI code.

  • Workflow-aware

    Structured for specialist, market-access, and governance review.

Layout preview

Optional tablet and phone widths for stakeholder reviews. Full width remains the default.

Preview frame

Case assessment

Enter illustrative clinical flags. No identifiers are collected or stored. Gender is optional context only — it is not used when rules are evaluated in this demo.

Patient details

Gender

Smoking history

Smoking status

Family history

  • First-degree relative with AATD
  • Family history of COPD
  • Family history of liver disease

Medical history

  • COPD
  • Asthma
  • Adult-onset asthma
  • Bronchiectasis
  • Liver disease
  • Unexplained liver disease
  • Neonatal cholestasis
  • Panniculitis
  • Vasculitis
  • Fixed airflow obstruction
  • CT/clinical emphysema disproportionate to pack-years

Transparency: rules pack and thresholds

Prompts follow the versioned clinical rules delivered with the reference toolkit (ClinicalRules.json · Alpha-1-Companion/ClinicalRules.json). Key reference thresholds in that pack: serum AAT low trigger < 1.1 g/L; CRP inflammation context 10 mg/L. Those laboratory values are not entered in this prototype; they inform how rules are written in the reference workflow.

Prototype only. Outputs are decision-support prompts for professionals — not a diagnosis, not prescribing advice, and not a medical device. Follow local pathways, governance, and specialist input as usual.

The problem we are addressing

Alpha-1 antitrypsin deficiency remains under-recognised. Teams need disciplined prompts that surface when laboratory follow-up may be proportionate — without replacing clinical judgement.

What Eye4Health demonstrates here

  • Maps clinical inputs to transparent if/then rules aligned with the Alpha-1 Companion reference toolkit.
  • Lists every rule that fires, with rationale and next-step content carried through from the approved rule text — ranked by severity so teams can scan outcomes quickly.
  • Keeps evaluation logic auditable (plain TypeScript, automated checks); no persistence or patient identifiers in this demo.

Governance, inputs, and related work

How the rules are sourced, what you can enter in this prototype, and where Eye4Health can extend the same approach — summarised below without crowding the experience above.

Inputs and rule pack

  • Versioned clinical rules pack as shipped with the reference toolkit (thresholds and triggers used by this prototype).
  • Age, smoking exposure (pack-years), and yes/no clinical and family-history toggles — nothing that identifies an individual is collected or stored.

Governance and appropriate use

  • Showroom prototype: prompts support professional judgement — not diagnosis, prescribing, or a substitute for local policy.
  • Rule wording and thresholds should be reviewed periodically against current guidance before any patient-facing use.

Related Eye4Health capabilities

Bring governed prompts into your programme

We design decision-support surfaces for healthcare teams — evidence-linked logic, your governance, your pathways, your brand. Use this demo as the start of a structured conversation about scope, validation, and rollout.