How to Use FoxTwo — CCT_EDGE Transport Simulator
Please read this entire guide first, then read the student instructions.
Purpose
This simulation evaluates your ability to manage a critically ill or injured patient during pre-transport stabilization and rotary-wing transport in a resource-constrained environment.
It evaluates:
- Preflight stabilization discipline
- Transport readiness assessment
- Recognition of time-sensitive pathology
- Decision-making under time pressure
- Management during patient movement and flight
- Ventilation, oxygenation, and hemodynamics in transport
- Packaging and monitoring strategy
- Responsible integration of AI as a clinical decision-support tool
Overview
In CCT_EDGE, you will complete a dynamic transport simulation using FoxTwo as both:
- Simulation engine
- Clinical decision-support tool
You will manage a patient from initial bedside assessment through stabilization for transport, in-transit management, or clinical deterioration. The patient may improve, deteriorate, or die based on your decisions. There are no scripted time points.
Time Model
This is a time-compressed simulation of transport care. Each reassessment represents a clinically meaningful interval.
Time will NOT advance unless you explicitly request it. You must clearly signal transitions such as:
- “I reassess the patient”
- “Advance time”
- “We load the patient”
- “We take off”
The simulation responds only to your actions.
Instructions
Step 1 — Select a Scenario
Choose one scenario. The vignette for your scenario will be shown to you in the app:
- Easy
- Hard
- Peds
Step 2 — Open the App and Start a New Session
Open the FoxTwo link and start a new session. Do not reuse an existing session.
Step 3 — Enter Your Certification and Experience Level
Before the scenario begins, the app will ask for:
- Your certification level
- Your critical care transport experience level
This step applies to scenarios. If you chose clinical decision support without a scenario, there is no Step 3 — the tool opens straight away and you ask your question.
Important: FoxTwo is running the CCT_EDGE simulation engine. FoxTwo is also functioning as your clinical decision-support tool. You may ask clinical questions, request guideline-based reasoning, and use it to structure your thinking. This simulation evaluates AI-assisted critical care transport decision-making.
Step 4 — Begin Management
Provide an initial structured assessment including:
- Problem list or working diagnoses
- Immediate priorities
- Transport readiness assessment
- Initial intervention plan
- Monitoring strategy
- Contingency planning
Then:
- Reassess explicitly
- Advance time deliberately
- Track trends
- Document decisions clearly
You retain full clinical authority.
AI Use Policy
You may:
- Ask clinical knowledge questions
- Request guideline-based reasoning
- Use the model to structure documentation
You must NOT:
- Delegate decision authority
- Assume interventions occurred without stating them
- Allow AI to replace your structured reasoning
This simulation evaluates how you integrate AI responsibly in transport care.
Scenario Termination
The scenario ends when:
- The patient is stabilized for transport
- The patient deteriorates or dies
- You declare the exercise complete
After Action Report (AAR) Generation
At the end of the simulation, FoxTwo will automatically generate a full written After Action Report (AAR) and a download link for your .docx file. Your .docx After Action Report will be available immediately.
The report contains no personally identifying information (PII). If you are willing, we ask that you send a copy of your AAR to prolonged.sim@gmail.com. We want to see how you did! We also welcome any feedback; your comments help us make CCT_EDGE the best AI scenario simulator we can so you can save lives.
Your report is deleted along with your scenario when you close your session.
Disclaimer: CCT_EDGE is an educational simulation tool only. Not medical advice. Clinical decisions remain the responsibility of the treating provider and must align with applicable training, supervision, and operational protocols.
© 2026 M3-EDGE Team. All rights reserved.