In this large-scale analysis, our algorithm confirmed the previously mentioned conclusions during simulation and descriptive analysis and underlined the significance of this novel approach to triage.Ĭonclusions: The findings of this study suggest the feasibility and relevance of our model, which is unique in terms of its ranking system, prognosis outline, and time course anticipation. Multidimensional analysis separated patients with similar patterns of injuries and vital parameters into clusters with different triage classifications. Regarding the identification of patients at risk for mistriage, the model outperformed the Simple Triage And Rapid Treatment’s triage algorithm but also exclusive stratification by the RTS or the NISS. Different casualties were ranked by their anticipated time course, reflecting their priority for treatment. Results: The proposed triage algorithm realistically modeled the time course of a patient’s life, depending on injury severity and current vital parameters. In addition, we applied a sophisticated, state-of-the-art clustering method using the Gower distance to visualize patient cohorts at risk for mistriage. Comparative performance analysis of different triage algorithms was performed. An artificial patient database of unique patients with trauma (N=82,277) was then generated and used for analysis of the time course modeling and triage classification. The 2 variables were integrated using the well-established Revised Trauma Score (RTS) and the New Injury Severity Score (NISS). Methods: We designed a mathematical model that allows dynamic simulation of the time course of a patient’s vital parameters, depending on individual baseline vital signs and injury severity. Using this approach, we aim to improve the prioritization of casualties by respecting individual injury patterns and vital signs, survival likelihoods, and the availability of rescue resources. Objective: The aim of this proof-of-concept study is to demonstrate a novel approach for triage that no longer classifies patients into triage categories but ranks their urgency according to the anticipated survival time without intervention. University Department of Anesthesiology and Intensive Care MedicineĮmail: In cases of terrorism, disasters, or mass casualty incidents, far-reaching life-and-death decisions about prioritizing patients are currently made using triage algorithms that focus solely on the patient’s current health status rather than their prognosis, thus leaving a fatal gap of patients who are under- or overtriaged. Asian/Pacific Island Nursing Journal 10 articles.JMIR Bioinformatics and Biotechnology 32 articles. JMIR Biomedical Engineering 68 articles.Journal of Participatory Medicine 78 articles.JMIR Perioperative Medicine 89 articles.JMIR Rehabilitation and Assistive Technologies 201 articles.JMIR Pediatrics and Parenting 279 articles.Interactive Journal of Medical Research 306 articles.JMIR Public Health and Surveillance 1141 articles.Journal of Medical Internet Research 7471 articles.
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