Post on 12-Apr-2017
Global City Teams Challenge 2016 KickoffNovember 12-13, 2015
Report Out: SMART Emergency Medical Teams
Reporter: Jeff Segall, inFlow Interactive, and Fairfax, VA
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
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
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”
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
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