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Health AI · Clinical training

Clinical Training Simulator

A clinical training application where students work through cases, guided by a state machine and evaluated with AI feedback and scoring.

clinical-sim / session loop
Illustration
Illustration of a training session loop: student action, state transition, clinical evaluation and AI feedback, producing a score.

The problem

Clinical training needs structure: cases must move through controlled steps and feedback must be consistent. An open-ended chat is not enough.

The approach

  1. 01A backend orchestrator coordinates each training session.
  2. 02A state machine governs case steps and allowed transitions.
  3. 03A clinical engine evaluates the student's actions.
  4. 04AI feedback and scoring close the loop.

Architecture

How Clinical Training Simulator fits together.

Each step, in order. Select a node to see what it is responsible for.

  1. A student working through a clinical case.

Stack

  • Orchestration
  • State machine
  • Clinical engine
  • LLMs

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