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).
Authors
- Mubaris Nadeem (ORCID: https://orcid.org/0000-0002-3873-6262)
- Madjid Fathi (ORCID: https://orcid.org/0000-0002-7602-9593)
- Johannes Zenkert (ORCID: https://orcid.org/0000-0002-2941-7059)
- Christian Weber (ORCID: https://orcid.org/0000-0001-6606-5577)
- Lisa Bender (ORCID: https://orcid.org/0009-0004-9485-7829)
Institutions
- University of Siegen (DE)
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