System role
- Represents emergencies as dynamic workflows rather than fixed checklists.
- Supports escalation, fallback, retry, and re-prioritization when early actions are incomplete or ineffective.
- Makes the system architecture more resilient for scenario growth.
Signals and modeled context
- State changes
- Action outcomes
- Rescue triggers
- Priority re-ranking
- Resource changes
- Failure/retry conditions
Reviewer and partner value
- Shows funders and technical reviewers that the project has room for sophisticated simulation logic.
- Supports educational review of changing emergencies.
- Creates a strong basis for future AI-assisted preparedness features.
Scope note: This page describes Medi-Galaxy as a simulation, research, education, and mission-preparedness support framework. It is not presented as clinical diagnosis, autonomous treatment, or a replacement for licensed medical professionals or approved flight medical protocols.
