Report out: SMART Emergency Medical Teams

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

Transcript of Report out: SMART Emergency Medical Teams

Page 1: Report out: SMART Emergency Medical Teams

Global City Teams Challenge 2016 KickoffNovember 12-13, 2015

Report Out: SMART Emergency Medical Teams

Reporter: Jeff Segall, inFlow Interactive, and Fairfax, VA

Page 2: Report out: SMART Emergency Medical Teams

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

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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

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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”

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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

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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