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

Gaindric Constantin; Cojocaru Svetlana; Pickl Stefan Wolfgang; Nistor Marian Sorin; Secrieru Iulian; Popcova Olga; Bein Doina; Cimpoesu Diana

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2023-11-25 07:56

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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, Ed. 2018, 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 Andrunachievici 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

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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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