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

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dc.contributor.author Reuter-Oppermann, Melanie
dc.contributor.author Wolff, Clemens
dc.contributor.author Pumplun, Luisa
dc.date.accessioned 2020-12-24T19:46:23Z
dc.date.available 2020-12-24T19:46:23Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71070
dc.description.abstract In 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.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Optimization, Simulation and IT for Healthcare Processes and Services
dc.subject dss
dc.subject ems
dc.subject expert interviews
dc.subject germany
dc.title Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice
dc.identifier.doi 10.24251/HICSS.2021.454
prism.startingpage 3743
Appears in Collections: Optimization, Simulation and IT for Healthcare Processes and Services


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