AISep 30, 2025

KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios

arXiv:2509.25923v11 citationsh-index: 11EIT
Originality Synthesis-oriented
AI Analysis

This addresses the need for faster and more informed decisions in life-threatening rescue scenarios for health professionals and patients, but it appears incremental as it builds on existing trends in vital signs integration.

The paper tackles the problem of improving decision-making in rescue operations by integrating vital signs data, resulting in a system that provides treatment recommendations and situation detection via a wrist-worn wearable to assist health professionals.

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.

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