Medical Training Alignment Toolkit
MedTAT is a modular system for planning, capturing, and reviewing military medical training and exercises across Role 1-4 care.
It connects scenario activity, casualty flow, Observer / Controller assessments, PECC coordination, and evaluator comments in one structured reporting environment.
The result is commander-ready insight for After-Action Review, future exercise design, and readiness improvement.
Turning Medical Exercise Data into Actionable Readiness Insight
- Captures scenario progression, casualty flow, treatment actions, timing, and operational events from gameplay data.
- Collects Observer / Controller assessments aligned to objectives, tasks, competencies, and standards.
- Supports PECC visibility into patient movement, evacuation coordination, prioritization, and operational decisions.
- Preserves evaluator comments and observations that provide essential context for After-Action Review.
From Exercise Data to After-Action Insight
By linking planning, execution, and assessment within one framework, MedTAT turns fragmented observations into clear, actionable reporting.
It helps answer practical readiness questions: Did teams perform at the expected level? Where did coordination break down? Which tasks require reinforcement? Were casualty movement and treatment decisions aligned with the scenario plan?
MedTAT combines gameplay data, assessments, PECC information, and evaluator comments into structured readiness intelligence.
What Partners Say
Dr. Presnall's unique blend of computational expertise, instructional design, and mission-focused application makes her a valuable asset to projects aimed at enhancing military readiness through intelligent systems.
LtCol Carl-Fredrik Kleman
Senior Staff Officer,
Headquarters, Military Region North
Swedish Armed Forces
By combining gameplay data, assessments, PECC information, and evaluator comments, MedTAT supports faster, more evidence-based After-Action Reviews.
Exercise Control
MedTAT links planning, execution, and assessment in one framework, preserving exercise data for future training design and readiness improvement.
