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AI and clinical safety

Veridian Motion uses multi-provider large language models to produce non-diagnostic triage support for licensed PTs. AI output never goes directly to inmates and never constitutes a diagnosis.

Design principles

  1. Triage support, not diagnosis. Language throughout the product uses assessment, observations, hypotheses, and PT-reviewed recommendations — not diagnosis or treatment decision.
  2. PT-review gate. AI findings and draft exercise plans appear only in the provider dashboard until a PT marks the assessment reviewed.
  3. Red flags first. AI-generated red-flag alerts render in a prominent “review first” callout. PTs confirm clinically before acting.
  4. Model transparency. The model that produced each assessment is recorded and displayed to the PT (e.g., “Generated by …”).

Multi-LLM router

Server-side routing selects a provider with automatic failover:
PriorityProvider
1Anthropic Claude (primary)
2OpenAI GPT
3xAI Grok
4Fallback gateway
If a provider is unavailable or errors, the router tries the next provider. The successful model is stored on the assessment record for audit and display to the reviewing PT.
AI calls run in TanStack server functions — API keys and prompts are not exposed to the inmate kiosk browser.

What AI produces

For each submitted assessment, AI may generate:
OutputPurpose
ObservationsStructured notes on posture/MSK patterns visible from photos and complaint
Hypotheses to reviewNon-diagnostic possibilities for PT consideration
Red-flag alertsPrompts for urgent in-person evaluation when patterns warrant
Draft exercise planGraded bodyweight exercises from the exercise-media library
All items are labeled AI-generated, non-diagnostic in the dashboard.

What AI does not do

  • Diagnose conditions or replace PT clinical judgment
  • Send content to inmates without PT review
  • Initiate external communications or emergency response
  • Store prompts or responses containing PHI in application logs

PT workflow

1

Review red flags first

Open the red-flag callout before other AI sections. Escalate through facility protocols if clinically indicated.
2

Review observations and hypotheses

Compare AI output to photos, body-map selections, and Q&A. Accept, edit, or disregard as clinical judgment requires.
3

Edit the exercise plan

Adjust the draft bodyweight plan for custody constraints. Use the exercise-media library for images and video references.
4

Add PT notes

Document assessment and plan. Mark notes shared with inmate only when appropriate for the inmate to read.
5

Set status and release

Mark reviewed (or needs_followup) when complete. Approved plan and shared notes become visible in the inmate My plan / progress view.

AI note summarization

PTs may use AI note summarization to draft documentation from assessment context. Summaries are drafts — the PT must review and approve before they become part of the clinical record.

Limitations and honesty

Veridian Motion is not FDA-cleared software as a medical device. AI models may be wrong, incomplete, or biased. PTs and facilities remain responsible for all clinical decisions and inmate safety.

What’s next

Provider dashboard

Review UI and tools.

Data model & privacy

What is stored and how RLS applies.