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

Date
2021-01-05
Authors
Reuter-Oppermann, Melanie
Wolff, Clemens
Pumplun, Luisa
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
3743
Ending Page
Alternative Title
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.
Description
Keywords
Optimization, Simulation and IT for Healthcare Processes and Services, dss, ems, expert interviews, germany
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 54th Hawaii International Conference on System Sciences
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.