A Concept for a Decision Support Framework for the Management of Complex Mass Casualty Situations at Distribution Points
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GAINDRIC, Constantin; COJOCARU, Svetlana; PICKL, Stefan Wolfgang; NISTOR, Marian Sorin; SECRIERU, Iulian; POPCOVA, Olga; BEIN, Doina; CIMPOESU, Diana. A Concept for a Decision Support Framework for the Management of Complex Mass Casualty Situations at Distribution Points. In: Conference on Mathematical Foundations of Informatics. 2-6 iulie 2018, Chișinău. Chișinău: "VALINEX" SRL, 2018, pp. 90-102. ISBN 978‐9975‐4237‐7‐9.
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Conference on Mathematical Foundations of Informatics 2018
Conferința "Conference on Mathematical Foundations of Informatics"
2018, Chișinău, Moldova, 2-6 iulie 2018

A Concept for a Decision Support Framework for the Management of Complex Mass Casualty Situations at Distribution Points


Pag. 90-102

Gaindric Constantin1, Cojocaru Svetlana1, Pickl Stefan Wolfgang2, Nistor Marian Sorin2, Secrieru Iulian1, Popcova Olga1, Bein Doina3, Cimpoesu Diana4
 
1 Vladimir Andrunakievich Institute of Mathematics and Computer Science,
2 Bundeswehr University Munich,
3 California State University, Fullerton,
4 University of Medicine and Pharmacy “Grigore T. Popa”, Iasi
 
Disponibil în IBN: 3 iulie 2018


Rezumat

Very often disasters result in mass casualty situations, which trigger a complexity of decisions to be made at collection points and advanced medical posts by local health services. The decisionmaking process becomes complicated because of significant bleeding into the peritoneal, pleural, or pericardial spaces may occur without visible warning signs. We propose the design of an innovative decision support framework for the management of mass casualty situations at collection points via an artificial intelligence based multilayered approach, aimed to support decision-makers, dealing in a disaster area with a considerable number of casualties and have limited resources (ambulances, available nearby medical centers, and personnel).

Cuvinte-cheie
decision support, information technologies,

distribution management, mass casualty situations, on-site triage, medical ultrasound, reachback

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