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            Ein Physiologiemodell für Tactical Combat Casualty Care Training in mobilen Serious Games

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            Author(s)
            Hofmann, Julia
            Language
            German
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            Abstract
            Julia Hofmann konzipiert in diesem Open Access Buch ein Physiologiemodell für die präzise Simulation bestimmter Verletzungsfolgen und deren Behandlung in einer Computerspielumgebung. Ihre Ergebnisse leisten einen wichtigen Beitrag, um die Ausbildung von Einsatzkräften in der taktischen Verwundetenversorgung mit neuen Medien zu verbessern. Primäre Zielgruppe sind dabei die sogenannten Erst-Helfer-Bravo der Bundeswehr. Die medizinische Grundlage der Arbeit bildet der internationale Erstversorgungsalgorithmus Tactical Combat Casualty Care, der die Überlebenschancen lebensbedrohlich verwundeter Personen erwiesenermaßen deutlich erhöht. Das entworfene Physiologiemodell wurde mithilfe praktizierender Notfallmediziner und Ausbilder der Bundeswehr validiert.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/193277
            Keywords
            Computer Applications; Emergency Medicine; Open Access; Taktische Verwundetenversorgung; Medizinische Simulation; Physiologiesimulation; Pathophysiologiemodell; Physiologiemodell; Tactical Combat Casualty Care Training; TCCC Training; Training mit Computerspiel; Serious Games; Information technology: general issues; Accident & emergency medicine; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKP Accident and emergency medicine
            DOI
            10.1007/978-3-658-30202-3
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Wiesbaden, 2020
            Imprint
            Springer Vieweg
            Pages
            347
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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