The focus was on developing innovative training approaches by integrating MR technology and creating a conceptual framework for effective performance in medical emergencies (EPME). The EPME model, validated through several studies, formed the basis for including psychological, physiological, and behavioural measures in the MED1stMR training solution developed.
In intensive cooperation with the end users, current forms of training were investigated, requirements for VR training were collected and concepts were developed with practitioners. From these requirements, the technical requirements emerging from the overarching wants and needs of the end users were derived and prioritized for development. A technology framework was developed to incorporate the manikin in the MR training system.
PLUX developed easy-to-use wearables, integrating miniaturized sensors to collect MFRs' biosignals data which allowed for real-time monitoring of MFRs' stress levels during training scenarios. The resulting physiological data was processed by the MED1stMR biosignals software client, enabling stress score calculation and live feedback for trainers, as well as debriefing insights.
Based on the requirements collected from the workshops with end users and real training observations, consequences for the scenario guidelines were drawn. To operationalise these scenario guidelines, a MR training template was developed. It contains considerations on learning objectives, scenario environment, event type and considers the functionalities and possibilities of the MR system. The first MCI training scenario dealing with a bus accident. This scenario was extended with challenging environmental conditions, different medical and injury patterns and served as a baseline scenario for further developments and contained the essential elements for training.
Through six FTs in six different countries (Austria, Germany, Belgium, Spain, Greece and Sweden), the project tested and refined these scenarios, considering both technological and contextual factors. Insights from the trials informed recommendations for good practice, including adapting scenarios to trainee expertise levels and varying scenario contexts for each repetition.
The MED1stMR project has successfully developed a comprehensive suite of tools and guidelines that leverage mixed reality and wearable technologies to enhance first responder training. As main result an advanced MR training system for medical first responders, featuring a patient simulation manikin to enhance the realism of medical emergency scenarios. The inclusion of the patient manikin allows medical first responders to practice life-saving procedures on a realistic model, significantly improving their preparedness for real-world situations.
A key technological innovation within the MR system is AI-supported performance evaluation. The AI-driven insights help trainers assess performance more objectively, identifying areas for improvement.
The project also delivered a comprehensive training framework and guidelines to maximize the effectiveness of these tools. Additionally, policymakers are provided with strategies and toolkits to facilitate the integration of MR technology and smart wearables into national training programs.
A comprehensive exploitation plan was developed for the key exploitable results, ensuring that each innovation was aligned with potential market opportunities. This plan was continuously refined as the project progressed and new results emerged.
The dissemination activities covered events hosted by the consortium (webinars, field trails, real-life exercises, and final conference), the participation of consortium members at external events and meetings, contact with policy- and decision-makers, the exchange with other projects as well as scientific dissemination in the form of publications or presentations at conferences.
