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Clinical Simulation (Academy)

The Clinical Simulation module provides a safe environment to practice diagnostic reasoning and medical communication using structured frameworks (SNAPS and OMP).

Overview​

Unlike traditional simulators, Corvus focuses on the thinking process and knowledge transfer, not just getting the final diagnosis right. The AI acts as a preceptor or colleague, providing real-time feedback on your reasoning.

SNAPS Framework (For Students)​

SNAPS focuses on case presentation and uncertainty exploration.

  1. S (Summarize): Briefly summarize the history and findings.
  2. N (Narrow): Narrow the differential to 2-3 possibilities.
  3. A (Analyze): Analyze the differential by comparing findings.
  4. P (Probe): Ask the preceptor about uncertainties or difficulties.
  5. S (Select): Select a management plan for discussion.

How to practice in Corvus:​

  • The system presents a clinical case.
  • You interact by filling in each SNAPS step.
  • The AI evaluates the quality of your summary and the accuracy of your differential.

OMP Framework (One-Minute Preceptor)​

The One-Minute Preceptor (OMP) focuses on decision-making and clinical teaching. Used to practice the Resident-Preceptor interaction.

The 5 Micro-skills:​

  1. Get a Commitment: What do you think is going on with this patient?
  2. Probe for Evidence: What findings support your diagnosis?
  3. Teach General Rules: What's the general principle at play here?
  4. Reinforce What Was Done Well: Identify strengths in the approach.
  5. Correct Mistakes: Address reasoning gaps or errors.

How to practice in Corvus:​

  • You take the role of the resident presenting to the AI (Preceptor).
  • The AI "pushes" you to commit to a diagnosis and justify it with evidence.

Simulation Modes​

Guided Mode​

Step-by-step through each framework component. Ideal for those learning the SNAPS or OMP structure.

Independent Mode​

Free conversation where the AI monitors whether you're covering the essential points of clinical reasoning.

AI Feedback​

At the end of each simulation, you receive a report detailing:

  • Diagnostic Accuracy: How close you got to the correct hypothesis.
  • Reasoning Quality: Assessment of how you used data to justify your approach.
  • Reading Suggestions: Links to the Evidence-Based Medicine (EBM) module on the topic.
tip

For best results, try to be as specific as possible in your case summary. Use semantic qualifiers (e.g., "sudden pleuritic chest pain" instead of "chest pain").