Drones at the service for training on mass casualty incident

Fernández-Pacheco, Antonio Nieto; Rodríguez, Laura Juguera; Price, Mariana Ferrandini; Perez, Ana Belen Garcia; Alonso, Nuria Pérez; Ríos, Manuel Pardo

doi:10.1097/md.0000000000007159

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Debriefings were only explicitly tested once. The study used drone videos from a real-life scenario training that the trainees had previously undergone [ 60 ] and partially confirmed a positive effect on (self-)perception. In combination with other methods, debriefings led to positive outcomes on performance as well as on self-reports of knowledge, confidence, and preparedness.…”

Section: Resultsmentioning

confidence: 93%

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness

Baetzner

Wespi

Sauter

et al. 2022

Scand J Trauma Resusc Emerg Med

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Background Adequate training and preparation of medical first responders (MFRs) are essential for an optimal performance in highly demanding situations like disasters (e.g., mass accidents, natural catastrophes). The training needs to be as effective as possible, because precise and effective behavior of MFRs under stress is central for ensuring patients’ survival and recovery. This systematic review offers an overview of scientifically evaluated training methods used to prepare MFRs for disasters. It identifies different effectiveness indicators and provides an additional analysis of how and to what extent the innovative training technologies virtual (VR) and mixed reality (MR) are included in disaster training research. Methods The systematic review was conducted according to the PRISMA guidelines and focused specifically on (quasi-)experimental studies published between January 2010 and September 2021. The literature search was conducted via Web of Science and PubMed and led to the inclusion of 55 articles. Results The search identified several types of training, including traditional (e.g., lectures, real-life scenario training) and technology-based training (e.g., computer-based learning, educational videos). Most trainings consisted of more than one method. The effectiveness of the trainings was mainly assessed through pre-post comparisons of knowledge tests or self-reported measures although some studies also used behavioral performance measures (e.g., triage accuracy). While all methods demonstrated effectiveness, the literature indicates that technology-based methods often lead to similar or greater training outcomes than traditional trainings. Currently, few studies systematically evaluated immersive VR and MR training. Conclusion To determine the success of a training, proper and scientifically sound evaluation is necessary. Of the effectiveness indicators found, performance assessments in simulated scenarios are closest to the target behavior during real disasters. For valid yet inexpensive evaluations, objectively assessible performance measures, such as accuracy, time, and order of actions could be used. However, performance assessments have not been applied often. Furthermore, we found that technology-based training methods represent a promising approach to train many MFRs repeatedly and efficiently. These technologies offer great potential to supplement or partially replace traditional training. Further research is needed on those methods that have been underrepresented, especially serious gaming, immersive VR, and MR.

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Section: Resultsmentioning

confidence: 93%

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness

Baetzner

Wespi

Sauter

et al. 2022

Scand J Trauma Resusc Emerg Med

View full text Add to dashboard Cite

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“…It has been proved that UAVs can have a strong beneficial effect in emergency situations, as shown in the study by Nieto et al [24]. Their results show that video information recorded using UAVs is beneficial in training rescuers and medical staff.…”

Section: Related Workmentioning

confidence: 93%

Enhancing Rescue Operations With Virtualized Mobile Multimedia Services in Scarce Resource Devices

et al. 2020

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The aim of this paper is to present an architecture to support reconfigurable multimedia services for a practical emergency environment use case of rescue operations. Specifically, radio communication and video surveillance services are provided by means of a small device carried by a mobile vehicle. This solution is validated by implementing a digital mobile radio (DMR) standard radio hotspot and a video streaming server in an unmanned aerial vehicle (UAV) that conveys a device with scarce resources in order to minimize power consumption. To achieve a fast and flexible deployment of the envisioned services, a virtualization-based approach is proposed. Namely, a Kubernetes orchestrator is used to manage the life-cycle of services deployed on a small resource device, endowing the architecture with scalability and management flexibility. This paper describes the executed performance tests that measured key parameters such as deployment time and recovery time after disconnection. Highly promising results were obtained, showing that the proposed architecture can be deployed in less than 4 minutes and can recover from network disconnections in less than 10 seconds. Thus, the performance, reliability and flexibility of the overall solution are demonstrated.

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“…Not only could drones be used in disaster mapping for search and rescue operations but also could provide an excellent resource for training paramedic students in mass casualty incidents (MCIs) (75). In addition, 80% of nursing students in the Emergency Nursing Master program at the Catholic University of Murcia (UCAM) reported a significant improvement in their self-perception and performance in the MCI simulation with the assistance of drones (76).…”

Section: E Cient Mec Technologies For Dm Training and Educationmentioning

confidence: 99%

The development of new remote technologies in disaster medicine education: A scoping review

Kao

Chien

Wang

et al. 2023

Front. Public Health

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BackgroundRemote teaching and online learning have significantly changed the responsiveness and accessibility after the COVID-19 pandemic. Disaster medicine (DM) has recently gained prominence as a critical issue due to the high frequency of worldwide disasters, especially in 2021. The new artificial intelligence (AI)-enhanced technologies and concepts have recently progressed in DM education.ObjectivesThe aim of this article is to familiarize the reader with the remote technologies that have been developed and used in DM education over the past 20 years.Literature scoping reviewsMobile edge computing (MEC), unmanned aerial vehicles (UAVs)/drones, deep learning (DL), and visual reality stimulation, e.g., head-mounted display (HMD), are selected as promising and inspiring designs in DM education.MethodsWe performed a comprehensive review of the literature on the remote technologies applied in DM pedagogy for medical, nursing, and social work, as well as other health discipline students, e.g., paramedics. Databases including PubMed (MEDLINE), ISI Web of Science (WOS), EBSCO (EBSCO Essentials), Embase (EMB), and Scopus were used. The sourced results were recorded in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart and followed in accordance with the PRISMA extension Scoping Review checklist. We included peer-reviewed articles, Epubs (electronic publications such as databases), and proceedings written in English. VOSviewer for related keywords extracted from review articles presented as a tabular summary to demonstrate their occurrence and connections among these DM education articles from 2000 to 2022.ResultsA total of 1,080 research articles on remote technologies in DM were initially reviewed. After exclusion, 64 articles were included in our review. Emergency remote teaching/learning education, remote learning, online learning/teaching, and blended learning are the most frequently used keywords. As new remote technologies used in emergencies become more advanced, DM pedagogy is facing more complex problems.DiscussionsArtificial intelligence-enhanced remote technologies promote learning incentives for medical undergraduate students or graduate professionals, but the efficacy of learning quality remains uncertain. More blended AI-modulating pedagogies in DM education could be increasingly important in the future. More sophisticated evaluation and assessment are needed to implement carefully considered designs for effective DM education.

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Drones at the service for training on mass casualty incident

Abstract: Supplemental Digital Content is available in the text

Cited by 5 publications

References 7 publications

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness

Enhancing Rescue Operations With Virtualized Mobile Multimedia Services in Scarce Resource Devices

The development of new remote technologies in disaster medicine education: A scoping review

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