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 volunteers 3/28/201 6 1
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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 volunteers
3/28/2016 1
Inter-team Debriefing Context Evidence-
based Medicine
EMS-Hospital Workflow
Inter-Team Training
Debrief
• 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)
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
EMS Arrival - Transfer to ER Median Beacon Distance to Sim Man
Ambulance Arrival - Minute 4
• 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
Local LRS
EMS-2
EMS-3
LRS
2015 – Beacons to Distributed LRS
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
• 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
• Darron Fuller • Data Analytics Software Engineering
• Brad Macomber
www.emiurgic-analytics.com www.linkedin.com/in/votefordata
Integrated Debriefing Dashboard
• 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
• 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
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