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| Funder | European Commission |
|---|---|
| Recipient Organization | Ait Austrian Institute of Technology Gmbh |
| Country | Austria |
| Start Date | Jun 01, 2021 |
| End Date | May 31, 2024 |
| Duration | 1,095 days |
| Number of Grantees | 21 |
| Roles | Participant; Coordinator; Third Party |
| Data Source | European Commission |
| Grant ID | 101021775 |
Mass-casualty incidents with injured persons caused by human-made or by natural disasters are increasing globally.
In such situations, medical first responders (MFR) need to perform basic life support and first aid to help stabilize victims until arrival of further support.
Proper evaluation of situations, checking and monitoring the vital states, and choosing the most appropriate strategy for proceeding with treatments are challenges.
However, current training abilities for such scenarios are limited.The MED1stMR consortium has identified Mixed Reality (MR) training as opportunity to better train and prepare MFRs for disasters.
Thus, MED1stMR will develop a new generation of MR training providing haptic feedback through the integration of high-fidelity patient simulation manikins into MR. Thereby, MED1stMR offers a much richer sensory experience bringing MR training closer to reality.
To enhance the effectiveness of MR training a physiological signal and trainee behavior feedback loop will be integrated for scenario control.
In this respect, wearable technologies with body sensors will be developed allowing to monitor states and behaviour of MFR during training.
Together with a model for effective performance in medical emergencies (EPME) this data will enable adapting training to trainee needs, manually or by artificial intelligence driven smart scenarios. Partnering MFR will be included in the project developments by an Agile End User Centred Research Methodology.
To this end, MED1stMR will pursue the following pioneering objectives: a) Developing a pioneering MR training approach for enhanced realism, b) Developing effective training scenarios and a training curriculum through user-centred design with cross-sectoral MFR, c) Realisation of a physiological signal and trainee behaviour feedback loop and EPME model for smart scenario control thereby enhancing effectiveness of MR training and d) To position the pioneering MR training approach across Europe
Usecon the Usability Consultants Gmbh; Region Jamtland Harjedalen; Elliniki Omada Diasosis Somateio; Ait Austrian Institute of Technology Gmbh; Fundacion Para la Investigacion E Innovacion Biosanitaria de Atencion Primaria; Montanuniversitaet Leoben; Hochschule Furtwangen; Autonoom Provinciebedrijf Campus Vesta; D2D Holding Bv; Ruprecht-Karls-Universitaet Heidelberg; Universitaet Bern; Johanniter Osterreich Ausbildung Und Forschung Gemeinnutzige Gmbh; Servicio Madrileno de Salud; Idener Research & Development Agrupacion de Interes Economico; Umea Universitet; Mindconsole Gmbh; Plux - Wireless Biosignals S.A.; Universitatsklinikum Heidelberg; Refense Ag; Johanniter International; Simcampus Zentrum Fur Notfall Krisen Und Katastrophensimulation Und Katastrophendiplomatie Gmbh
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