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Survival probability function as a supporting element in automated triage system on the battlefield

Dobrowolski Andrzej, Oskwarek Paweł, Rokicki Szymon, Wiktorzak Paweł, Łubkowski Piotr, Murawski Piotr

Inżynieria Bezpieczeństwa Obiektów Antropogenicznych

2023

Nr 4

46--59

Mass events are incidents involving a large number of casualties. They are an integral part of combat operations. These events are characterized by exceeding the capabilities of the rescuers present at the scene during a specific phase of the operation. The difference in triage applied in combat compared to triage used in civilian mass events is directly related to their specific nature and intended objectives. The article presents an innovative segregation algorithm that takes into account the value of the so-called "survival function," which is a component of a medical evacuation decision support system based on the integration of monitoring and analysis of soldier's vital parameters with the medical security system.

Patient classification algorithm at urgency care area of a hospital based on the triage system

Mondragon N., Istrate D., Wegrzyn-Wolska K., Garcia J. C., Sanchez J.C.

Journal of Medical Informatics & Technologies

2013

Vol. 22

87--94

The time passed in the urgency zone of a hospital is really important, and the quick evaluation and selection of the patients who arrive to this area is essential to avoid waste of time and help the patients in a higher emergency level. The triage, an evaluation and classification structured system, allows to manage the urgency level of the patient; it is based on the vital signs measures and clinical data of the patient. The goal is making the classification in the shortest possible time and with a minimal error percentage. Levels are allocated according to the concept that what is urgent is not always serious and that what is serious is not always urgent. In this work, we present a computational algorithm that evaluates the patients within the fever symptomatic category, we use fuzzy logic and decision trees to collect and analyze simultaneously the vital signs and the clinical data of the patient through a graphical interface; so that the classification can be more intuitive and faster. Fuzzy logic allows us to process data and take a decision based on incomplete information or uncertain values, decision trees are structures or rules sets that classify the data when we have several variables.

The impact of e-business techologies on healthcare - new horizons or false dawns?

Lane V., Hayward P., Lane D.

Journal of Medical Informatics & Technologies

2002

Vol. 3

IP15--23

The expectation that computer networks combined with the Internet and associated technologies will be common in all businesses of the future has resulted in a flurry of investment in ICT around the globe, and in wide interest in the Internet, e-commerce and e-business. For example the Malaysian government has created a high-speed data highway, a federal capital that is a 'wired city', and a 'paperless hospital' [1]. The UK Government too has recently approved plans for major ICT projects [5, 10]. These projects are in healthcare, and involve large financial sums. It is important that the use of these public funds leads to successful outcomes. This paper analyses a large successful ICT project that uses e-business technologies. The aim of the paper is to identify the success factors in this completed project to see if these pointers indicate favourable prospects for the outcome of these new healthcare projects.