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GOATnote Disposition: synthetic-message clinical AI research and bioengineering classroom demonstrations.

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GOATnote

GOATnote Disposition

An educational AI prototype that routes a synthetic patient message to SELF_CARE, ASYNC_PHYSICIAN, or URGENT_ESCALATION, with a short rationale. Built by Brandon Dent, MD, with Codex assistance.

Brandon is an Enterprise Systems Architect & Technical Advisor to Scaling Up EMDR.

Prepared for a bioengineering class discussion at the University of Memphis. The class context does not imply faculty or university endorsement. This is a research demonstration, not a patient-care service.

Presentation and student materials

The 16-slide presentation pairs a practical safety-testing method with a career exercise. Presenter notes include the research sources.

Start with the saved cases

Open the offline case viewer in a browser. It contains 50 synthetic messages, reference labels and saved model responses. It needs no API key or running server and makes no model calls. The classroom guide suggests a short teaching sequence. The student guide connects the exercise to engineering skills, projects and career paths.

The saved viewer is an educational display derivative with GOATnote branding. Its embedded clinical case data is unchanged; source and projection hashes are recorded in classroom provenance. The complete original research records are preserved separately; see research provenance.

The historical Fable result was 48/50 against a revised physician reference; identical-request repetitions returned 45/50 and 46/50. The reference was a single physician's post-output reassessment of known synthetic cases. These observations are not independent clinical validation or a measure of patient outcomes. The viewer keeps reference versions and model configurations visible. Even frontier models still missed clinician review against this revised reference: Fable 5.1 missed 2/43 cases calling for clinician action, and Astra missed 3/43 at each recorded effort. See the frontier-model evidence note for configurations, denominators and recent HealthBench context.

Optional live demonstration

Use Node 22.18.0 (see .nvmrc) or a supported Node version in package.json. Set ANTHROPIC_API_KEY in the server environment or repository-root .env. Do not commit the key.

npm ci
npm run review:build
npm run demo:check
npm run demo

Open localhost:4120/stripped after the server reports ready. Each Get disposition submission makes one provider call. The provider account must have access to the configured model; startup does not verify that access. Use only synthetic messages. Setup and troubleshooting.

Explore the engineering

To rebuild the static viewer from its preserved projection, run npm run saved:build. Run npm run saved:verify to check the projection identity, message hashes, displayed comparisons and generated files without changing them. Neither command calls a model or replays the original clinical study.

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