An Adaptive Decision Support Framework for the Management of Mass Casualty via an Artificial Intelligence Based Multilayered Approach integrating an Intelligent Reachback Information System
| Programmee: | International Collaboration |
| Code: | G5700 NATO Science for Peace and Security Programme |
| Execution period: | 2020 – 2022 |
| Institutions: | Vladimir Andrunachievici Institute of Mathematics and Computer Science (Chișinău, Moldova), Institute for Theoretical Computer Science, Mathematics and Operations Research (COMTESSA UBwM, Germany), University of Medicine and Pharmacy Gr.T.Popa (Iași, Romania), California State University (Fullerton, USA), University of Rijeka (Rijeka, Croatia) |
| Project Leader: | Gaindric Constantin |
| Participants: | Petic Mircea, Bumbu Tudor, Caftanatov Olesea, Horosh Grigorii, Degteareov Nichita, Cojocaru Svetlana, Lozovanu Dmitrii, Secrieru Iulian, Gutuleac Elena, Popcova Olga, Sergiu Puiu |
Summary
A decision support framework for the management of mass casualty situations at collection points with a reachback functionality will be developed. Its scope is to support decision-makers (healthcare personnel and aides) by implementing emergency ultrasound in injury assessment at disaster site using portable ultrasound scanners and offering easy-to-use computer-aided tools for mobile devices. Such framework will help to perform triage and more accurate re-triage of casualties with injuries at thorax and abdomen by suggesting efficient therapeutic decisions and assisting the coordinated evacuation of the injured persons. The proposed decision support framework can be used in disasters caused by terrorism as well as natural phenomena, particularly in countries with high seismic hazard.
