SMART EMT's will utilize inter-disciplinary teams and real-time sensor data to improve transition of care between EMS and hospitals. This will be done through enhanced debriefing and analytics from simulation training to promote situational awareness. The project is a collaboration between George Mason University, Fairfax County agencies, and other partners to develop an integrated debriefing dashboard using technologies like beacons, wearables and learning analytics.

1. SMART EMT’s will help inter-disciplinary
teams improve transition-of-care quality,
promote situational awareness, and enhance
the efficacy of simulation debriefing.
Municipal sponsor: Fairfax County, VA USA
• Project Leads:
• Brenda Bannan PhD George Mason University
• Jeff Segall MA, MBA Inflow Interactive
• Key Partners:
• Fairfax Fire&Rescue, Inova, Emiurgic Analytics, GMU volunteers3/28/201
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2. Inter-team Debriefing Context
Evidence-
based
Medicine
EMS-Hospital
Workflow
Inter-Team
Training
Debrief

3. • Simulation-based team training in medical,
disaster recovery contexts
– Interaction among interdisciplinary roles/teams
• Enhanced debrief –visualization/analytics
• Collaborative reflection, situation awareness
and experiential learning
• Integrated real-time data collection
 IoT sensors (beacons, wearables, RFID)

4. 2015 IoT Proximity Beacon Data
Data points indicate individual provider distance from
Sim-Man and trauma bay LRS collectors over time
Source: Bridget Lewis, GMU
3/28/2016 4

5. EMS Arrival - Transfer to ER
Median Beacon Distance to Sim Man
Ambulance Arrival - Minute 4

6. • xAPI is granular method to track social,
progress, teams, virtual media, real-world
learning experiences…
 IoT sensors
• JSON via REST to a ‘LRS’ (learning record store)
– Activity streams: {Actor: Verb: Object}
• International open source spec ensures
interoperability
– Portable lifetime learning record
– Badging engine, competencies, game mechanics

7. Local
LRS
EMS-2
EMS-3
LRS
2015 – Beacons to Distributed LRS

8. GOALS
 Event Streaming Architecture
 Scalable / Fault-Tolerant / Extensible / Open-Source
 Secure / Direct Trust/EHNAC Certification Health Information Service
Provider (HISP)
 Multi-tenancy
 Containerize
 Migrate to Cloud Services
 Distribute
 Streaming Analytics & Visualizations >> Real-time Analysis
TECHNOLOGY STACK
 Kafka – Event & Message Queueing
 Goblin – ETL
 Avro – Data Serialization
 Cassandra and HDFS – Data Store
 Hadoop – Batch Analytics (MapReduce/Mahout)
 Spark – Streaming Analytics (MLib)
 Python/Java/Scala

9. • George Mason University
• 80 MSc. Data Analytics Engineers
• CS + STATS + SystEngr + OR + AIT +
Capstone
• Civic Outreach, Career Development,
Social
SMART Team:, Margery Waithaka, Sam Toolan
@da_engineers
www.DAEN-Society.org
contact@DAEN-Society.org
• Darron Fuller
• Data Analytics Software Engineering
• Brad Macomber
www.emiurgic-analytics.com
www.linkedin.com/in/votefordata
darron.fuller@emiurgic.com

10. Integrated Debriefing Dashboard

11. • Reduce instructional design and
simulation prep time
– Managers and trainers focus on coaching teams
and individuals’ development needs
• Reduce cycle-time in the ‘golden hour’
– Transfer-of-care events
– Critical equipment and supplies
 Helping medical professionals save lives

12. • Performance support tools, analytics to
enhance team debrief - in context
• Integrated real-time data collection
– IoT sensors (beacons, wearables, RFID)
• Standards-based schema for inter-operability
– xAPI, FHIR
Data-driven learning designs to
support medical and disaster
recovery simulations