SMART Emergency Medical Teams will help inter-disciplinary teams improve quality of transition-of-care, promote situational awareness, and the efficacy of simulation debriefing.

1. Global City Teams Challenge 2016 Kickoff
November 12-13, 2015
Report Out: SMART Emergency Medical Teams
Reporter: Jeff Segall, inFlow Interactive,
and Fairfax, VA

2. Project Scope
• Description
SMART Emergency Medical Teams will help inter-disciplinary
teams improve quality of transition-of-care, promote
situational awareness, and the efficacy of simulation
debriefing.
• Project Leads
– Brenda Bannan PhD George Mason University
– Jeff Segall MA, MBA Inflow Interactive
• GMU expertise
– Dr. Nathalia Peixoto (Engineering), Dr. Carryl Baldwin
(Psychology-Human Factors), Dr. Angelos Stavrou (Computer
Science)
• Potential Partners
– Pfizer, EIE, ASC Consulting, DoD, Fairfax Fire & Rescue
Department, Inova Fairfax Hospital

3. Project Focus
• Simulation-based Team Training in medical
contexts
• Patient hand-off or transitions between sub-
teams (e.g. EMS to trauma team)
• Interaction among interdisciplinary roles/team
members (e.g. trauma/surgical teams)
• Wearable sensors/advanced networking
• Real-time data collection
• Enhanced debrief –visualization/display/feedback
• Collaborative reflection, situation awareness and
experiential learning

4. Project Approach
• Major Requirements / Actions
– Build network of design and implementation
expertise from diverse fields
– Define use case from different medical teams’
perspectives, surface and facilitate common goals
• Successful 2015 GCC project/tools as baseline
– MVP* performance support tools to enable
provider capabilities - in context
– Data-driven learning designs to support evidence-
based medicine
“ *Minimum Viable Product”

5. Performance Targets /Indicators
• Performance Targets/KPIs
– Improve systemic transition-of-care performance measures and
metrics
– Promote individual and team-based situational awareness of EMS and
ED teams
– Reduce facilitator preparation time and improve efficacy and quality of
medical team debriefings
• Measurement Methods for Performance/KPIs
– Existing system metrics (EHR’, PCR, 911), plus IoT sensor and
performance support data streams
• Select Triple Aim goals (toward quality improvement, improved patient
outcomes, develop metrics)
– Data collection – time, location, behavior
– Pre/post assessment of team debrief – without/with enhanced
visualization of real time data
– Augment with qualitative assessments of debriefing of medical intra-
team and inter-team (cross) trainings

6. Demonstration/Deployment
• Phase I Demonstration Scenario
– Intra-team focus
– Rapid prototype pilot for select use case(s)
– Refine metrics and data collection
– Final demonstration, with visual analytics
• Phase II Deployment Scenario
– Stakeholder approvals
– Select test cohort(s), simulation scenarios
– Intra- and Inter-team focus
– Implement test deployment, measure, report