Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice

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dc.contributor.authorReuter-Oppermann, Melanie
dc.contributor.authorWolff, Clemens
dc.contributor.authorPumplun, Luisa
dc.date.accessioned2020-12-24T19:46:23Z
dc.date.available2020-12-24T19:46:23Z
dc.date.issued2021-01-05
dc.description.abstractIn recent years, an increase in data availability and computation power led to the "rise of Artificial Intelligence (AI)". In many different domains, AI-based methods and more specifically intelligent decision support systems (DSS) are studied in research and already implemented in practice, but not yet so in emergency medical services (EMS). This is especially true for the German EMS system that falls short in terms of digitization in general and the use of well-grounded methods for managing and planning their logistics and processes. As the actual need for intelligent DSS in the German EMS are unclear, we have performed interviews with German EMS experts. Referring to the qualitative data, we compare the decision problems and desired DSS with existing research and identify gaps between academia and practice.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.454
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71070
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectOptimization, Simulation and IT for Healthcare Processes and Services
dc.subjectdss
dc.subjectems
dc.subjectexpert interviews
dc.subjectgermany
dc.titleNext Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice
prism.startingpage3743

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