Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study

In emergencies, treatment needs to be fast, accu-rate and patient-specific. For instance, in emergency scenarios, obstacles like treatment environments and medical difficulties can lead to bad outcomes for patients. Additionally, a drastic change of health vitals can force paramedics to shift to a different treatment in the ongoing treatment of the patient in order to save a patient's life. The KIRETT (engl.: 'Artificial intelligence in rescue operations ‘) demonstrator is developed to provide a rescue operator with a wrist-worn device, enabling treatment recommendation (with the help of knowledge graph) with situation detection models to improve the emergency treatment of a patient. This paper aims to provide a qualitative evaluation of the 2-days testing in the KIRETT project with the focus of knowledge graphs, knowledge fusion, and user-experience-design (UX-design).

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/smc54092.2024.10831087
Citations
1
Primary Topic
Environmental Engineering and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.78
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article

Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study

Mubaris Nadeem, Madjid Fathi, Johannes Zenkert, Christian Weber et al.
1 citations
Environmental Engineering and Cultural Studies
0.78
article

Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study

Mubaris Nadeem, Madjid Fathi, Johannes Zenkert, Christian Weber, Lisa Bender
article en
1 citations

Abstract

In emergencies, treatment needs to be fast, accu-rate and patient-specific. For instance, in emergency scenarios, obstacles like treatment environments and medical difficulties can lead to bad outcomes for patients. Additionally, a drastic change of health vitals can force paramedics to shift to a different treatment in the ongoing treatment of the patient in order to save a patient's life. The KIRETT (engl.: 'Artificial intelligence in rescue operations ‘) demonstrator is developed to provide a rescue operator with a wrist-worn device, enabling treatment recommendation (with the help of knowledge graph) with situation detection models to improve the emergency treatment of a patient. This paper aims to provide a qualitative evaluation of the 2-days testing in the KIRETT project with the focus of knowledge graphs, knowledge fusion, and user-experience-design (UX-design).

University of Siegen (DE)
Openalex Percentile: Top 17%
Environmental Engineering and Cultural Studies
0.78
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