Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866911183811903488 |
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| author | Nadeem, Mubaris Zenkert, Johannes Bender, Lisa Weber, Christian Fathi, Madjid |
| author_facet | Nadeem, Mubaris Zenkert, Johannes Bender, Lisa Weber, Christian Fathi, Madjid |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_24831 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study Nadeem, Mubaris Zenkert, Johannes Bender, Lisa Weber, Christian Fathi, Madjid Human-Computer Interaction 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). |
| title | Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.24831 |