scholarly journals An Integrated Information and Decision-Support System for the Management of Mass Casualty Incidents

2019 ◽  
Vol 52 (19) ◽  
pp. 199-204
Author(s):  
Henrik Berndt ◽  
Michael Herczeg
2007 ◽  
Vol 22 (3) ◽  
pp. 596-612 ◽  
Author(s):  
Valliappa Lakshmanan ◽  
Travis Smith ◽  
Gregory Stumpf ◽  
Kurt Hondl

Abstract The Warning Decision Support System–Integrated Information (WDSS-II) is the second generation of a system of tools for the analysis, diagnosis, and visualization of remotely sensed weather data. WDSS-II provides a number of automated algorithms that operate on data from multiple radars to provide information with a greater temporal resolution and better spatial coverage than their currently operational counterparts. The individual automated algorithms that have been developed using the WDSS-II infrastructure together yield a forecasting and analysis system providing real-time products useful in severe weather nowcasting. The purposes of the individual algorithms and their relationships to each other are described, as is the method of dissemination of the created products.


Author(s):  
Yuliia Kuznetsova ◽  
Maksym Somochkin

Subject matter. Informatization of processes of counteraction to man-made emergencies. Goal. Improving the effectiveness of the process of information support for decision-making in overcoming the consequences of man-made emergencies, in terms of its intellectualization, by creating a concept of integration of various software tools within a single, homogeneous space of knowledge about strategic, tactical and operational actions in a wide range of accidents and disasters related to the operation of technical facilities. Tasks. Develop a formal statement of the problem of decision-making in an emergency situation and justify the methodology of its implementation based on the integration of knowledge tools with various analytical models that describe the processes of emergency. Consider the application of the proposed methodology on a scenario that reproduces the situation on the site after the leakage of a highly toxic substance. Methods. System analysis - in the development of a comprehensive process model for decision-making in an emergency; software engineering - when creating the architecture of an integrated intelligent decision support system in emergencies of man-made nature; physics of the processes of distribution of toxic chemicals in the atmosphere - in the development of a scenario of the situation at the site in an emergency situation at an industrial site. Results. The concept of creating an integrated intelligent decision support system for overcoming the consequences of man-made emergencies, in particular, the formal formulation of a typical problem of decision-making in emergencies is described, as well as the basic principles of its solution, and the formulation of the problem of modeling management processes associated with man-made emergencies is developed. Conclusions. The concept of creating an integrated information-analytical system to support decision-making in man-made emergencies is presented. Within the framework of this concept, formal models of decision-making in man-made emergencies and an approach to the integration of diverse software within a single, homogeneous knowledge space on comprehensive measures to overcome the consequences of emergencies related to accidents and disasters at technical facilities infrastructure. The scenario example of the organization of intellectual support of decisions at release into the atmosphere of a toxic chemical is considered.


Author(s):  
Nicholas Boltin ◽  
Diego Valdes ◽  
Joan M. Culley ◽  
Homayoun Valafar

BACKGROUND Chemical exposures pose a significant threat to life. A rapid assessment by first responders and emergency nurses is required to reduce death and disability. Currently, no informatics tools exist to process victims of chemical exposures efficiently. The surge of patients into a hospital emergency department during a mass casualty incident creates additional stress on an already overburdened system, potentially placing patients at risk and challenging staff to process patients for appropriate care and treatment efficacy. Traditional emergency department triage models are oversimplified during highly stressed mass casualty incident scenarios in which there is little margin for error. Emerging mobile technology could alleviate the burden placed on nurses by allowing the freedom to move about the emergency department and stay connected to a decision support system. OBJECTIVE This study aims to present and evaluate a new mobile tool for assisting emergency department personnel in patient management and triage during a chemical mass casualty incident. METHODS Over 500 volunteer nurses, students, and first responders were recruited for a study involving a simulated chemical mass casualty incident. During the exercise, a mobile application was used to collect patient data through a kiosk system. Nurses also received tablets where they could review patient information and choose recommendations from a decision support system. Data collected was analyzed on the efficiency of the app to obtain patient data and on nurse agreement with the decision support system. RESULTS Of the 296 participants, 96.3% (288/296) of the patients completed the kiosk system with an average time of 3 minutes, 22 seconds. Average time to complete the entire triage process was 5 minutes, 34 seconds. Analysis of the data also showed strong agreement among nurses regarding the app’s decision support system. Overall, nurses agreed with the system 91.6% (262/286) of the time when it came to choose an exposure level and 84.3% (241/286) of the time when selecting an action. CONCLUSIONS The app reliably demonstrated the ability to collect patient data through a self-service kiosk system thus reducing the burden on hospital resources. Also, the mobile technology allowed nurses the freedom to triage patients on the go while staying connected to a decision support system in which they felt would give reliable recommendations.


2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.


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