KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866909816550588416 |
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| author | Nadeem, Mubaris Zenkert, Johannes Weber, Christian Bender, Lisa Fathi, Madjid |
| author_facet | Nadeem, Mubaris Zenkert, Johannes Weber, Christian Bender, Lisa Fathi, Madjid |
| contents | The integration of vital signs in healthcare has witnessed a steady rise, promising health professionals to assist in their daily tasks to improve patient treatment. In life-threatening situations, like rescue operations, crucial decisions need to be made in the shortest possible amount of time to ensure that excellent treatment is provided during life-saving measurements. The integration of vital signs in the treatment holds the potential to improve time utilization for rescuers in such critical situations. They furthermore serve to support health professionals during the treatment with useful information and suggestions. To achieve such a goal, the KIRETT project serves to provide treatment recommendations and situation detection, combined on a wrist-worn wearable for rescue operations.This paper aims to present the significant role of vital signs in the improvement of decision-making during rescue operations and show their impact on health professionals and patients in need. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25923 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios Nadeem, Mubaris Zenkert, Johannes Weber, Christian Bender, Lisa Fathi, Madjid Artificial Intelligence The integration of vital signs in healthcare has witnessed a steady rise, promising health professionals to assist in their daily tasks to improve patient treatment. In life-threatening situations, like rescue operations, crucial decisions need to be made in the shortest possible amount of time to ensure that excellent treatment is provided during life-saving measurements. The integration of vital signs in the treatment holds the potential to improve time utilization for rescuers in such critical situations. They furthermore serve to support health professionals during the treatment with useful information and suggestions. To achieve such a goal, the KIRETT project serves to provide treatment recommendations and situation detection, combined on a wrist-worn wearable for rescue operations.This paper aims to present the significant role of vital signs in the improvement of decision-making during rescue operations and show their impact on health professionals and patients in need. |
| title | KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2509.25923 |