scholarly journals MP01: Use of an unmanned aerial vehicle to provide situational awareness in a simulated mass casualty incident

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S40-S40
Author(s):  
A. K. Sibley ◽  
T. Jain ◽  
B. Nicholson ◽  
M. Butler ◽  
S. David ◽  
...  
Keyword(s):  
Situational Awareness ◽  
Optimal Strategies ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Treatment Area ◽  
Incident Command ◽  
Emergency Responders ◽  
Video Footage ◽  
Scene Management ◽  
Patient Localization

Introduction: Situational awareness (SA) is essential for maintenance of scene safety and effective resource allocation in mass casualty incidents (MCI). Unmanned aerial vehicles (UAV) can potentially enhance SA with real-time visual feedback during chaotic and evolving or inaccessible events. The purpose of this study was to test the ability of paramedics to use UAV video from a simulated MCI to identify scene hazards, initiate patient triage, and designate key operational locations. Methods: A simulated MCI, including fifteen patients of varying acuity (blast type injuries), plus four hazards, was created on a college campus. The scene was surveyed by UAV capturing video of all patients, hazards, surrounding buildings and streets. Attendees of a provincial paramedic meeting were invited to participate. Participants received a lecture on SALT Triage and the principles of MCI scene management. Next, they watched the UAV video footage. Participants were directed to sort patients according to SALT Triage step one, identify injuries, and localize the patients within the campus. Additionally, they were asked to select a start point for SALT Triage step two, identify and locate hazards, and designate locations for an Incident Command Post, Treatment Area, Transport Area and Access/Egress routes. Summary statistics were performed and a linear regression model was used to assess relationships between demographic variables and both patient triage and localization. Results: Ninety-six individuals participated. Mean age was 35 years (SD 11), 46% (44) were female, and 49% (47) were Primary Care Paramedics. Most participants (80 (84%)) correctly sorted at least 12 of 15 patients. Increased age was associated with decreased triage accuracy [-0.04(-0.07,-0.01);p=0.031]. Fifty-two (54%) were able to localize 12 or more of the 15 patients to a 27x 20m grid area. Advanced paramedic certification, and local residency were associated with improved patient localization [2.47(0.23,4.72);p=0.031], [-3.36(-5.61,-1.1);p=0.004]. The majority of participants (78 (81%)) chose an acceptable location to start SALT triage step two and 84% (80) identified at least three of four hazards. Approximately half (53 (55%)) of participants designated four or more of five key operational areas in appropriate locations. Conclusion: This study demonstrates the potential of UAV technology to remotely provide emergency responders with SA in a MCI. Additional research is required to further investigate optimal strategies to deploy UAVs in this context.

scholarly journals P135: TriagED: A serious game for mass casualty triage and field disaster management

CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S113
Author(s):  
C. Wallner ◽  
P. Sneath ◽  
K. Morgan ◽  
T. Chan
Keyword(s):  
Patient Flow ◽  
Prehospital Care ◽  
Mass Casualty ◽  
Leadership Role ◽  
Card Game ◽  
Care Providers ◽  
Incident Command ◽  
Scene Management ◽  
Multiple Injured ◽  
Injured Patients

Innovation Concept: Mass Casualty Incidents (MCI) are complex events that most paramedics encounter only a few times in their careers. Triaging and managing multiple patients during an incident requires different skills than typically practiced by prehospital providers. Simulation and drills can provide an opportunity to practice those skills, but are costly and resource intensive while only allowing a few providers to be in a triage or leadership role. It is important to find engaging and less expensive methods for teaching MCI triage and initial scene management. Methods: The authors have developed and are testing a card game based on the previously published GridlockED board game. The game was developed utilizing an iterative process previously described. This game was tested with paramedics as well as other emergency medicine learners to determine usability, engagement, fidelity, as well as usefulness in teaching MCI triage and patient-flow concepts. Curriculum, Tool or Material: The card game provides a focused learning experience to allow providers to practice initial triage of multiple injured patients as well as manage patient flow from the scene to area hospitals when faced with limited prehospital resources and capabilities. Players work together in various simulated scenarios to correctly triage injured patients and send them to the correct healthcare facility. Conclusion: Serious gaming has gained momentum in medical education. Developing novel curriculae around low frequency, high stakes situations using a game like TriagED may hold the key to ensure prehospital care providers are trained for these incidents. In the future, games which integrate an element of Incident Command or receiving hosptials (e.g. full integration with GridlockED game) may help to further explore the relationship between scene management and patient flow within receiving hospitals.

Challenges of Major Incident Management When Excess Resources are Allocated: Experiences from a Mass Casualty Incident after Roof Collapse of a Military Command Center

2004 ◽  
Vol 19 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Luis Romundstad ◽  
Knut Ole Sundnes ◽  
Johan Pillgram-Larsen ◽  
Geir K. Røste ◽  
Mads Gilbert
Keyword(s):  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Major Incident ◽  
Incident Management ◽  
Field Hospital ◽  
Rescue Work ◽  
Incident Command ◽  
Set Up ◽  
Minor Injuries ◽  
Command Center

AbstractDuring a military exercise in northern Norway in March 2000, the snowladen roof of a command center collapsed with 76 persons inside. Twentyfive persons were entrapped and/or buried under snow masses. There were three deaths. Seven patients had serious injuries, three had moderate injuries, and 16 had minor injuries.A military Convalescence Camp that had been set up in a Sports Hall 125 meters from the scene was reorganized as a causality clearing station. Officers from the Convalescence Camp initially organized search and rescue. In all, 417 persons took part in the rescue work with 36 ambulances, 17 helicopters, three ambulance airplanes and one transport plane available. Two ambulances, five helicopters and one transport aircraft were used. Four patients were evacuated to a civilian hospital and six to a field hospital.The stretcher and treatment teams initially could have been more effectively organized. As resources were ample, this was a mass casualty, not a disaster. Firm incident command prevented the influx of excess resources.

scholarly journals Putting the Theoretical to Practical Use

2019 ◽  
Vol 34 (s1) ◽  
pp. s161-s161
Author(s):  
Eli Jaffe
Keyword(s):  
Medical Students ◽  
Self Efficacy ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Life And Death ◽  
Emergency Responders ◽  
Mature Students ◽  
Daunting Task ◽  
The Mean ◽  
First Time

Introduction:Managing an MCI (Mass Casualty Incident) can be a daunting task for emergency responders. Effective management can be a matter of life and death but can be directly impacted by the feelings of the incident commander.Aim:Students were trained to be incident commanders, then following the course were given a survey. In the days following the training, an MCI occurred involving a train full of passengers. The students were then given another survey to assess their readiness following the practical use of their studies.Methods:Students were given a survey to determine their mean level of confidence in managing MCIs prior to training, and following the training. Following the training, there was an increase in confidence. After the training, there was an MCI in which their theoretical knowledge was put to the test.Results:The pre-training self-efficacy mean scores of younger students (M=3.5, SD+0.23) increased after the training (M=3.8, SD+0.28) and rose even more following the presentation of the Turin train accident (M=4, SD+0.26). While a similar increase in self-efficacy was found among the more mature students post-training compared to the level prior to the training (M=3.7, SD+0.44 versus M=3.4, SD+0.56), the mean self-efficacy score of the mature students decreased following the presentation of the Turin train accident to the pre-training level (M=3.4, SD+0.51).Discussion:Mean scores of self-efficacy and confidence in managing MCIs were found to be higher among medical students that were previously trained in coping with MCIs compared to medical students who participated in such a training program for the first time.

scholarly journals Kuala Lumpur train collision during the COVID-19 pandemic

2022 ◽  
Vol 17 (1) ◽  
Author(s):  
Alzamani M. Idrose ◽  
Fikri M. Abu-Zidan ◽  
Nurul Liana Roslan ◽  
Khairul Izwan M. Hashim ◽  
Saiyidi Mohd Azizi Mohd Adibi ◽  
...  
Keyword(s):  
Hospital Management ◽  
Standard Operating Procedure ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Base Station ◽  
Lessons Learned ◽  
Kuala Lumpur ◽  
Disaster Plan ◽  
Incident Command ◽  
Green Zone

Abstract Background Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. Methods Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. Results The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. Two hundred and fourteen passengers were in the trains. Sixty-four of them were injured. They had a median (range) ISS of 2 (1–43), and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9%) patients were admitted to the hospital (3 to the ICU, 3 to the ward and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) were discharged home. Six (9.4%) needed surgery. The COVID-19 tests were conducted on seven patients (10.9%) and were negative. There were no deaths. Conclusions The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a 'binary' system for 'COVID-risk' and 'non-COVID-risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics.

scholarly journals The Experience of a Mass Casualty Incident Call in a Tertiary Hospital after the 2018 Hualien Earthquake

2019 ◽  
Vol 34 (s1) ◽  
pp. s131-s131
Author(s):  
Hsing Chia Cheng ◽  
Kuang Yu Niu ◽  
Ming Han Ho
Keyword(s):  
Emergency Department ◽  
Healthcare Providers ◽  
Task Assignment ◽  
Tertiary Hospital ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Incident Command System ◽  
Incident Command ◽  
Efficiency And Effectiveness ◽  
Training Courses

Introduction:After a 6.0 magnitude earthquake struck Hualien on February 6, 2018, over one hundred and fifty patients crammed into the emergency department of a nearby tertiary hospital within two hours. The mass casualty incident (MCI) call was activated, and over 300 related personnel responded to the call and engaged with the MCI management.Aim:This research aimed to analyze the practice of an MCI call and to form the strategies to improve its efficiency and effectiveness.Methods:The research was conducted in a tertiary hospital in Hualien, Taiwan. Questionnaires regarding the practice of the MCI call were sent out to the healthcare providers in the emergency department who responded to that MCI operation.Results:Thirty-seven responders in the emergency department were involved in this study. 78% had participated in training courses for hospital incident command system (HICS) or MCI management before this event. On arrival at the emergency department, 69.4% of the responders were aware of the check-in station and received a clear task assignment and briefing. During the operation, 25.7% reported the lack of confidence carrying out the assigned tasks and 54.1% of the participants experienced great stress (stress score over 7 out of 10).Discussion:MCI is an uncommon event for hospital management. It is universally challenging owing to its unpredictable and time-sensitive nature. Furthermore, the administration could be further complicated by the associated disasters. Despite regular exercises and drills, there are still a significant number of participants experiencing stress and confusion during the operation. The chaotic situation may further compromise the performance of the participants. This study showed that optimizing task briefing and on-site directions may improve the performance of the MCI participants.

Comparison of Unmanned Aerial Vehicle Technology Versus Standard Practice in Identification of Hazards at a Mass Casualty Incident Scenario by Primary Care Paramedic Students

2018 ◽  
Vol 12 (5) ◽  
pp. 631-634 ◽  
Author(s):  
Trevor Jain ◽  
Aaron Sibley ◽  
Henrik Stryhn ◽  
Ives Hubloue
Keyword(s):  
Situational Awareness ◽  
Permutation Test ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Hazard Identification ◽  
Identification Accuracy ◽  
Standard Practice ◽  
Ground Station ◽  
Aerial Vehicle ◽  
Observational Cohort

AbstractIntroductionThe proliferation of unmanned aerial vehicles (UAV) has the potential to change the situational awareness of incident commanders allowing greater scene safety. The aim of this study was to compare UAV technology to standard practice (SP) in hazard identification during a simulated multi-vehicle motor collision (MVC) in terms of time to identification, accuracy and the order of hazard identification.MethodsA prospective observational cohort study was conducted with 21 students randomized into UAV or SP group, based on a MVC with 7 hazards. The UAV group remained at the UAV ground station while the SP group approached the scene. After identifying hazards the time and order was recorded.ResultsThe mean time (SD, range) to identify the hazards were 3 minutes 41 seconds (1 minute 37 seconds, 1 minute 48 seconds-6 minutes 51 seconds) and 2 minutes 43 seconds (55 seconds, 1 minute 43 seconds-4 minutes 38 seconds) in UAV and SP groups corresponding to a mean difference of 58 seconds (P=0.11). A non-parametric permutation test showed a significant (P=0.04) difference in identification order.ConclusionBoth groups had 100% accuracy in hazard identification with no statistical difference in time for hazard identification. A difference was found in the identification order of hazards. (Disaster Med Public Health Preparedness. 2018;12:631–634)

Managing Multiple-Casualty Incidents: A Rural Medical Preparedness Training Assessment

2013 ◽  
Vol 28 (4) ◽  
pp. 334-341 ◽  
Author(s):  
Steven D. Glow ◽  
Vincent J. Colucci ◽  
Douglas R. Allington ◽  
Curtis W. Noonan ◽  
Earl C. Hall
Keyword(s):  
Emergency Department ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Incident Management ◽  
Roles And Responsibilities ◽  
Incident Command ◽  
Post Test ◽  
Bed Capacity ◽  
Multiple Casualty Incidents ◽  
Command Systems

AbstractObjectiveThe objectives of this study were to develop a novel training model for using mass-casualty incident (MCI) scenarios that trained hospital and prehospital staff together using Microsoft Visio, images from Google Earth and icons representing first responders, equipment resources, local hospital emergency department bed capacity, and trauma victims. The authors also tested participants’ knowledge in the areas of communications, incident command systems (ICS), and triage.MethodsParticipants attended Managing Multiple-Casualty Incidents (MCIs), a one-day training which offered pre- and post-tests, two one-hour functional exercises, and four distinct, one-hour didactic instructional periods. Two MCI functional exercises were conducted. The one-hour trainings focused on communications, National Incident Management Systems/Incident Command Systems (NIMS/ICS) and professional roles and responsibilities in NIMS and triage. The trainings were offered throughout communities in western Montana. First response resource inventories and general manpower statistics for fire, police, Emergency Medical Services (EMS), and emergency department hospital bed capacity were determined prior to MCI scenario construction. A test was given prior to and after the training activities.ResultsA total of 175 firefighters, EMS, law enforcement, hospital personnel or other first-responders completed the pre- and post-test. Firefighters produced higher baseline scores than all other disciplines during pre-test analysis. At the end of the training all disciplines demonstrated significantly higher scores on the post-test when compared with their respective baseline averages. Improvements in post-test scores were noted for participants from all disciplines and in all didactic areas: communications, NIMS/ICS, and triage.ConclusionsMass-casualty incidents offer significant challenges for prehospital and emergency room workers. Fire, Police and EMS personnel must secure the scene, establish communications, define individuals’ roles and responsibilities, allocate resources, triage patients, and assign transport priorities. After emergency department notification and in advance of arrival, emergency department personnel must assess available physical resources and availability and type of manpower, all while managing patients already under their care. Mass-casualty incident trainings should strengthen the key, individual elements essential to well-coordinated response such as communications, incident management system and triage. The practice scenarios should be matched to the specific resources of the community. The authors also believe that these trainings should be provided with all disciplines represented to eliminate training “silos,” to allow for discussion of overlapping jurisdictional or organizational responsibilities, and to facilitate team building.GlowSD, ColucciVJ, AllingtonDR, NoonanCW, HallEC. Managing multiple-casualty incidents: a rural medical preparedness training assessment. Prehosp Disaster Med. 2013;28(4):1-8.

scholarly journals An analysis of movement patterns in mass casualty incident simulations

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Boris Tolg ◽  
Juergen Lorenz
Keyword(s):  
Relevant Information ◽  
Group Behavior ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Gps Data ◽  
Time Of Arrival ◽  
Treatment Area ◽  
Post Exercise ◽  
Data Loggers ◽  
Gps Data Loggers

Abstract Background Mass casualty incidents (MCI) such as train or bus crashes, explosions, collapses of buildings, or terrorist attacks result in rescue teams facing many victims and in huge challenges for hospitals. Simulations are performed to optimize preparedness for MCI. To maximize the benefits of MCI simulations, it is important to collect large amounts of information. However, a clear concept and standardization of a data-driven post-exercise evaluation and debriefing are currently lacking. Methods GPS data loggers were used to track the trajectories of patients, medics, and paramedics in two simulated MCI scenarios using real human actors. The distribution of patients over the treatment area and their time of arrival at the hospital were estimated to provide information on the quality of triage and for debriefing purposes. Results The results show the order in which patients have been treated and the time for the individual arrivals as an indicator for the triage performance. The distribution of patients at the accident area suggested initial confusion and unclear orders for the placement of patients with different grades of injury that can be used for post-exercise debriefing. The dynamics of movement directions allowed to detect group behavior during different phases of the MCI. Conclusions Results indicate that GPS data loggers can be used to collect precise information about the trajectories of patients and rescue teams at an MCI simulation without interfering with the realism of the simulation. The exact sequence of the deliverance of patients of different triage categories to their appropriate destinations can be used to evaluate team performance for post-exercise debriefing. Future MCI simulations are planned to validate the use of GPS loggers by providing “hot-debrief” immediately after the MCI simulation and to explore ways in which group detection can provide relevant information for post-exercise evaluations Trial registration Not applicable.

scholarly journals Kuala Lumpur Train Collision During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Alzamani M. Idrose ◽  
Fikri M. Abu-Zidan ◽  
Nurul Liana Roslan ◽  
Khairul Izwan M. Hashim ◽  
Saiyidi Mohd Azizi Mohd Adibi ◽  
...  
Keyword(s):  
Hospital Management ◽  
Standard Operating Procedure ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Base Station ◽  
Lessons Learned ◽  
Kuala Lumpur ◽  
Disaster Plan ◽  
Incident Command ◽  
Green Zone

Abstract Background: Two city trains collided in an underground tunnel on 24th May 2021 at the height of Covid-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. Methods: Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. Results: The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. 214 passengers were in the trains. 64 of them were injured. They had a median (range) ISS of 2 (1-43) and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9 %) patients were admitted to the hospital (3 to the ICU, 3 to the ward, and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) (56) were discharged home. Six (9.4%) needed surgery. The Covid-19 tests were conducted on seven patients (10.9%) and was negative There were no deaths. Conclusions: The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a'binary' system for 'Covid risk' and 'non-Covid risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics.

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