The Experts below are selected from a list of 747 Experts worldwide ranked by ideXlab platform

Ives Hubloue - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of Unmanned Aerial Vehicle Technology-Assisted Triage versus Standard Practice in Triaging Casualties by Paramedic Students in a Mass-Casualty Incident Scenario.
    Prehospital and disaster medicine, 2018
    Co-Authors: Trevor N. Jain, Aaron K. Sibley, Henrik Stryhn, Ives Hubloue
    Abstract:

    Introduction The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the way medical incident commanders (ICs) respond to mass-Casualty incidents (MCIs) in triaging victims. The aim of this study was to compare UAV technology to standard practice (SP) in triaging casualties at an MCI. Methods A randomized comparison study was conducted with 40 paramedic students from the Holland College Paramedicine Program (Charlottetown, Prince Edward Island, Canada). Using a simulated motor vehicle collision (MVC) with moulaged casualties, iterations of 20 students were used for both a day and a night trial. Students were randomized to a UAV or a SP group. After a brief narrative, participants either entered the study environment or used UAV technology where total time to triage completion, GREEN Casualty Evacuation, time on scene, triage order, and accuracy were recorded. Results A statistical difference in the time to completion of 3.63 minutes (95% CI, 2.45 min-4.85 min; P=.002) during the day iteration and a difference of 3.49 minutes (95% CI, 2.08 min-6.06 min; P=.002) for the night trial with UAV groups was noted. There was no difference found in time to GREEN Casualty Evacuation, time on scene, or triage order. One-hundred-percent accuracy was noted between both groups. Conclusion: This study demonstrated the feasibility of using a UAV at an MCI. A non-clinical significant difference was noted in total time to completion between both groups. There was no increase in time on scene by using the UAV while demonstrating the feasibility of remotely triaging GREEN casualties prior to first responder arrival. Jain T, Sibley A, Stryhn H, Hubloue I.Comparison of unmanned aerial vehicle technologyassisted triage versus standard practice in triaging casualties by paramedic students in a mass-Casualty incident scenario. Prehosp Disaster Med. 2018;33(4):375–380

  • P074: Comparison of unmanned aerial vehicle technology versus standard practice in triaging casualties by paramedic students in a mass Casualty incident scenario
    CJEM, 2018
    Co-Authors: Trevor N. Jain, Aaron K. Sibley, Henrik Stryhn, Ives Hubloue
    Abstract:

    Introduction: The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the way medical incident commanders respond to mass Casualty incidents (MCI) in triaging victims. The aim of this study was to compare UAV technology to standard practice (SP) in triaging casualties at a MCI Methods: A randomized comparison study was conducted with forty paramedic students from the Holland College Paramedicine Program. Using a simulated motor vehicle collision with moulaged casualties, iterations of twenty students were used for both a day and a night trial. Students were randomized to an UAV or a SP group. After a brief narrative participants either entered the study environment or used UAV technology where total time to triage completion, green Casualty Evacuation, time on scene, triage order and accuracy was recorded Results: A statistical difference in the time to completing of 3.63 minutes (95% CI: 2.45, 4.85, p=0.002) during the day iteration and a difference of 3.49 minutes (95% CI: 2.08,6.06, p=0.002) for the night trial with UAV groups was noted. There was no difference found in time to green Casualty Evacuation, time on scene or triage order. One hundred percent accuracy was noted between both groups. Conclusion: This study demonstrated the feasibility of using an UAV at a MCI. A non clinical significant difference was noted in total time to completion between both groups. There was no increase in time on scene by using the UAV while demonstrating the feasibility of remotely triaging green casualties prior to first responder arrival.

Christopher G Blood - One of the best experts on this subject based on the ideXlab platform.

  • A Medical Planning Tool for Projecting the Required Casualty Evacuation Assets in a Military Theater of Operations
    2016
    Co-Authors: S. A. Matheny, Scott C Sundstrom, Serge A Matheny, D. C. Keith, S. C. Sundstrom, A G. Blood, Christopher G Blood
    Abstract:

    Military medical readiness for combat deployments requires prepositioning the necessary medical treatment facilities (MTFs) and Casualty Evacuation assets within the theater of operations. Determining the best locations and minimum number of transportation assets depends on prior knowledge of the appropriate planning Evacuation policy, each of the troop locations and Evacuation routes, and reliable Casualty rates. Objective The present report documents a medical planning tool (called OPTEVAC) designed to determine the optimum placement and minimum numbers of ground Evacuation assets across a theater of operations. Guidance is provided on OPTEVAC operation, and a detailed description is given for the algorithms and statistical assumptions on which it is based. Approach Source code was written in the C and C++ programming languages to implement OPTEVAC's algorithms and graphical user interface (GUI). Proper operation procedures were fully documented to make the software as user-friendly as possible

  • A Medical Planning Tool for Projecting the Required Casualty Evacuation Assets in a Military Theater of Operations.
    1997
    Co-Authors: Serge A Matheny, Scott C Sundstrom, D. C. Keith, Christopher G Blood
    Abstract:

    Abstract : Military medical readiness for ground combat operations requires projections of the Evacuation assets needed to transport the casualties incurred through the various echelons of medical care. The OPTEVAC planning tool was designed to minimize the required Evacuation assets by providing the optimal deployment locations of these transportation assets. This simulation tool utilizes information on the expected Casualty rates, the size of theater, the desired troop deployment node and medical treatment facility (MTF) locations, and the types and numbers of available air and ground ambulances to drive the underlying linear programming algorithm which determines the optimal transportation asset locations. More specifically, user input is accomplished by prompting the planner to enter troop deployment and MTF sites as well as the associated Evacuation routes on a grid scaled to represent the combat theater. The OPTEVAC software then uses a modified version of the Probabilistic Location Set Covering Problem (PLSCP) to calculate the minimum numbers of ground Evacuation assets along with their most appropriate locations at Echelon II and III within the theater.

  • Using the Shipboard Casualty Projection System (SHIPCAS) to Forecast Ship Hits and Casualty Sustainment.
    1997
    Co-Authors: Christopher G Blood, Jeffrey S. Marks
    Abstract:

    Abstract : Medical resource planning for naval combat operations requires projections of the numbers of casualties that may be incurred by shipboard forces. These Casualty projections are required inputs to models that forecast the beds, medical equipment, Evacuation assets, and health care personnel needed to support an operation. Because the logistics of shipboard Casualty Evacuation can be problematic, reliable estimates of the medical resources needed aboard ships are critical to the timely treatment of any battle wounds sustained. At the same time, because shipboard space is a scarce commodity, it is important that allocation of supplies is kept to a minimum. A planning tool called the shipboard Casualty projection system (SHIPCAS) has been developed to forecast shipboard Casualty incidence. SHIPCAS projections have recently been adjusted to incorporate contemporary threats; the present report outlines use of the SHIPCAS tool and explains the statistical underpinnings upon which the projections are based.

  • the optimal placement of Casualty Evacuation assets a linear programming model
    Winter Simulation Conference, 1996
    Co-Authors: Scott C Sundstrom, Christopher G Blood, Serge A Matheny
    Abstract:

    Through the use of linear programming techniques, the optimal number and positioning of patient Evacuation assets within a theater of operations may be determined to ensure the orderly transport of casualties from the front lines to third echelon medical treatment facilities. The Probabilistic Location Set Covering Problem has been chosen as the core module for a linear programming model to assist in these deterniinations. The Optimal Placement of Casualty Evacuation Assets (OPTEVAC) model prompts the user to enter the dimensions of the theater, troop deployment nodes, types of Evacuation assets available, and preferred locations of medical treatment facilities. The OPTEVAC model then provides output as to the required numbers of ground and air ambulances as well as the optimal positioning of those Evacuation assets and ambulance exchange points.

  • Winter Simulation Conference - The optimal placement of Casualty Evacuation assets: a linear programming model
    Proceedings of the 28th conference on Winter simulation - WSC '96, 1996
    Co-Authors: Scott C Sundstrom, Christopher G Blood, Serge A Matheny
    Abstract:

    Through the use of linear programming techniques, the optimal number and positioning of patient Evacuation assets within a theater of operations may be determined to ensure the orderly transport of casualties from the front lines to third echelon medical treatment facilities. The Probabilistic Location Set Covering Problem has been chosen as the core module for a linear programming model to assist in these deterniinations. The Optimal Placement of Casualty Evacuation Assets (OPTEVAC) model prompts the user to enter the dimensions of the theater, troop deployment nodes, types of Evacuation assets available, and preferred locations of medical treatment facilities. The OPTEVAC model then provides output as to the required numbers of ground and air ambulances as well as the optimal positioning of those Evacuation assets and ambulance exchange points.

Serge A Matheny - One of the best experts on this subject based on the ideXlab platform.

  • A Medical Planning Tool for Projecting the Required Casualty Evacuation Assets in a Military Theater of Operations
    2016
    Co-Authors: S. A. Matheny, Scott C Sundstrom, Serge A Matheny, D. C. Keith, S. C. Sundstrom, A G. Blood, Christopher G Blood
    Abstract:

    Military medical readiness for combat deployments requires prepositioning the necessary medical treatment facilities (MTFs) and Casualty Evacuation assets within the theater of operations. Determining the best locations and minimum number of transportation assets depends on prior knowledge of the appropriate planning Evacuation policy, each of the troop locations and Evacuation routes, and reliable Casualty rates. Objective The present report documents a medical planning tool (called OPTEVAC) designed to determine the optimum placement and minimum numbers of ground Evacuation assets across a theater of operations. Guidance is provided on OPTEVAC operation, and a detailed description is given for the algorithms and statistical assumptions on which it is based. Approach Source code was written in the C and C++ programming languages to implement OPTEVAC's algorithms and graphical user interface (GUI). Proper operation procedures were fully documented to make the software as user-friendly as possible

  • A Medical Planning Tool for Projecting the Required Casualty Evacuation Assets in a Military Theater of Operations.
    1997
    Co-Authors: Serge A Matheny, Scott C Sundstrom, D. C. Keith, Christopher G Blood
    Abstract:

    Abstract : Military medical readiness for ground combat operations requires projections of the Evacuation assets needed to transport the casualties incurred through the various echelons of medical care. The OPTEVAC planning tool was designed to minimize the required Evacuation assets by providing the optimal deployment locations of these transportation assets. This simulation tool utilizes information on the expected Casualty rates, the size of theater, the desired troop deployment node and medical treatment facility (MTF) locations, and the types and numbers of available air and ground ambulances to drive the underlying linear programming algorithm which determines the optimal transportation asset locations. More specifically, user input is accomplished by prompting the planner to enter troop deployment and MTF sites as well as the associated Evacuation routes on a grid scaled to represent the combat theater. The OPTEVAC software then uses a modified version of the Probabilistic Location Set Covering Problem (PLSCP) to calculate the minimum numbers of ground Evacuation assets along with their most appropriate locations at Echelon II and III within the theater.

  • the optimal placement of Casualty Evacuation assets a linear programming model
    Winter Simulation Conference, 1996
    Co-Authors: Scott C Sundstrom, Christopher G Blood, Serge A Matheny
    Abstract:

    Through the use of linear programming techniques, the optimal number and positioning of patient Evacuation assets within a theater of operations may be determined to ensure the orderly transport of casualties from the front lines to third echelon medical treatment facilities. The Probabilistic Location Set Covering Problem has been chosen as the core module for a linear programming model to assist in these deterniinations. The Optimal Placement of Casualty Evacuation Assets (OPTEVAC) model prompts the user to enter the dimensions of the theater, troop deployment nodes, types of Evacuation assets available, and preferred locations of medical treatment facilities. The OPTEVAC model then provides output as to the required numbers of ground and air ambulances as well as the optimal positioning of those Evacuation assets and ambulance exchange points.

  • Winter Simulation Conference - The optimal placement of Casualty Evacuation assets: a linear programming model
    Proceedings of the 28th conference on Winter simulation - WSC '96, 1996
    Co-Authors: Scott C Sundstrom, Christopher G Blood, Serge A Matheny
    Abstract:

    Through the use of linear programming techniques, the optimal number and positioning of patient Evacuation assets within a theater of operations may be determined to ensure the orderly transport of casualties from the front lines to third echelon medical treatment facilities. The Probabilistic Location Set Covering Problem has been chosen as the core module for a linear programming model to assist in these deterniinations. The Optimal Placement of Casualty Evacuation Assets (OPTEVAC) model prompts the user to enter the dimensions of the theater, troop deployment nodes, types of Evacuation assets available, and preferred locations of medical treatment facilities. The OPTEVAC model then provides output as to the required numbers of ground and air ambulances as well as the optimal positioning of those Evacuation assets and ambulance exchange points.

Shen Yue - One of the best experts on this subject based on the ideXlab platform.

  • Inspiration from trauma treatment in Wenchuan earthquake
    Journal of Traumatic Surgery, 2008
    Co-Authors: Shen Yue
    Abstract:

    This article summarized experience of trauma treatment in Wenchuan earthquake:(1) Casualty classification is a key treatment step;(2) Casualty Evacuation is necessary for implementing grading treatment;(3) The principle that life first and body second should be insisted;(4) External fixation is the best way to deal with open fracture of limb;(5) Early prevention of infection and attention should be paid to the occurrence of special infection;(6) The medical emergency division should be established and ever prepared.

Trevor N. Jain - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of Unmanned Aerial Vehicle Technology-Assisted Triage versus Standard Practice in Triaging Casualties by Paramedic Students in a Mass-Casualty Incident Scenario.
    Prehospital and disaster medicine, 2018
    Co-Authors: Trevor N. Jain, Aaron K. Sibley, Henrik Stryhn, Ives Hubloue
    Abstract:

    Introduction The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the way medical incident commanders (ICs) respond to mass-Casualty incidents (MCIs) in triaging victims. The aim of this study was to compare UAV technology to standard practice (SP) in triaging casualties at an MCI. Methods A randomized comparison study was conducted with 40 paramedic students from the Holland College Paramedicine Program (Charlottetown, Prince Edward Island, Canada). Using a simulated motor vehicle collision (MVC) with moulaged casualties, iterations of 20 students were used for both a day and a night trial. Students were randomized to a UAV or a SP group. After a brief narrative, participants either entered the study environment or used UAV technology where total time to triage completion, GREEN Casualty Evacuation, time on scene, triage order, and accuracy were recorded. Results A statistical difference in the time to completion of 3.63 minutes (95% CI, 2.45 min-4.85 min; P=.002) during the day iteration and a difference of 3.49 minutes (95% CI, 2.08 min-6.06 min; P=.002) for the night trial with UAV groups was noted. There was no difference found in time to GREEN Casualty Evacuation, time on scene, or triage order. One-hundred-percent accuracy was noted between both groups. Conclusion: This study demonstrated the feasibility of using a UAV at an MCI. A non-clinical significant difference was noted in total time to completion between both groups. There was no increase in time on scene by using the UAV while demonstrating the feasibility of remotely triaging GREEN casualties prior to first responder arrival. Jain T, Sibley A, Stryhn H, Hubloue I.Comparison of unmanned aerial vehicle technologyassisted triage versus standard practice in triaging casualties by paramedic students in a mass-Casualty incident scenario. Prehosp Disaster Med. 2018;33(4):375–380

  • P074: Comparison of unmanned aerial vehicle technology versus standard practice in triaging casualties by paramedic students in a mass Casualty incident scenario
    CJEM, 2018
    Co-Authors: Trevor N. Jain, Aaron K. Sibley, Henrik Stryhn, Ives Hubloue
    Abstract:

    Introduction: The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the way medical incident commanders respond to mass Casualty incidents (MCI) in triaging victims. The aim of this study was to compare UAV technology to standard practice (SP) in triaging casualties at a MCI Methods: A randomized comparison study was conducted with forty paramedic students from the Holland College Paramedicine Program. Using a simulated motor vehicle collision with moulaged casualties, iterations of twenty students were used for both a day and a night trial. Students were randomized to an UAV or a SP group. After a brief narrative participants either entered the study environment or used UAV technology where total time to triage completion, green Casualty Evacuation, time on scene, triage order and accuracy was recorded Results: A statistical difference in the time to completing of 3.63 minutes (95% CI: 2.45, 4.85, p=0.002) during the day iteration and a difference of 3.49 minutes (95% CI: 2.08,6.06, p=0.002) for the night trial with UAV groups was noted. There was no difference found in time to green Casualty Evacuation, time on scene or triage order. One hundred percent accuracy was noted between both groups. Conclusion: This study demonstrated the feasibility of using an UAV at a MCI. A non clinical significant difference was noted in total time to completion between both groups. There was no increase in time on scene by using the UAV while demonstrating the feasibility of remotely triaging green casualties prior to first responder arrival.