Case Study: xAPI and IoT in Emergency Medical Training
The Global City Teams Challenge (GCTC) is working on innovative applications of Internet of Things (IoT) technologies within a smart city / smart community environment. National Institute of Standards and Technology (NIST) and US Ignite have teamed-up with the Department of Transportation (DoT), National Science Foundation (NSF), International Trade Administration (ITA), Department of Health and Human Services (HHS) and Department of Energy (DoE) to create the Global City Teams Challenge to advance practical applications of the latest research in cyber physical systems. The Global City Teams Challenge is an initiative of the National Institute of Standards and Technology and U.S. Ignite to advance the deployment of Internet of Things technologies within smart city and smart community environments.
As part of the research being undertaken by the Fairfax Global City team, a simulation design was needed to produce the first phase in exploring the application of xAPI to emergency training.
Along with Fairfax Fire and Rescue and Inova Hospital, Dr. Brenda Bannan of George Mason University, and Dr. Shane Gallagher from Advanced Distributed Learning led this initial simulation design which is the first time xAPI is being used in conjunction with Internet of Things technologies in the field to collect data from an emergency training simulation.
The EMTs are wearing beacons, the Android phones attached to the ambulance, positioned at the doors of the emergency room, and located within the simulation mannequin itself are sending all of the proximity data between patient and rescuer to an xAPI learning record store (LRS) in the Cloud where the data is visualized in real time and made accessible to the team of nurses and doctors at the hospital, all of whom are also wearing beacons and whose preparations are recorded live to the same LRS.
This proves the ability to provide a 360-degree view into complex multi-team training operations. The ease in getting xAPI reporting for wearables, medical device integrations, and even complex systems makes for future attainable, cost effective, viable results. In the emergency medical world this translates to improved outcomes for patients.