Quantitative Evaluation of KIRETT Wearable Demonstrator for Rescue Operations
This addresses the problem of time-critical medical emergencies for rescue services by introducing a wearable demonstrator, but it appears incremental as it builds on existing technologies like AI and vitals-monitoring.
The paper presents quantitative results from a two-day evaluation of the KIRETT wearable device, which aims to provide treatment recommendations and real-time monitoring for rescue operations, involving 14 participants to analyze rescue operators' needs.
Healthcare and Medicine are under constant pressure to provide patient-driven medical expertise to ensure a fast and accurate treatment of the patient. In such scenarios, the diagnosis contains, the family history, long term medical data and a detailed consultation with the patient. In time-critical emergencies, such conversation and time-consuming elaboration are not possible. Rescue services need to provide fast, reliable treatments for the patient in need. With the help of modern technologies, like treatment recommendations, real-time vitals-monitoring, and situation detection through artificial intelligence (AI) a situation can be analyzed and supported in providing fast, accurate patient-data-driven medical treatments. In KIRETT, a wearable device is developed to support in such scenarios and presents a way to provide treatment recommendation in rescue services. The objective of this paper is to present the quantitative results of a two-day KIRETT evaluation (14 participants) to analyze the needs of rescue operators in healthcare.