scholarly journals (A238) Optimizing Medical Response to Large-Scale Disasters: The Ad Hoc Collaborative Healthcare System

2011 ◽  
Vol 26 (S1) ◽  
pp. s65-s65
Author(s):  
K. Peleg ◽  
A. Lipski ◽  
Y. Kreiss ◽  
N. Ash

During the authors' recent experience in Haiti during the early aftermath of a major earthquake, it was discovered that more optimal use of field hospitals could be achieved through increased coordination across the deployed medical resources. Moreover, if it were possible to standardize both the capabilities of these resources and their inter-operational guidelines, further improvement in resource utilization could be achieved. Resolving the bottleneck particularly was crucial as the impact on mortality that specialized field hospitals may affect in disasters is observed primarily early on. Confronted with tremendous need in the face of massive devastation, a solution was improvised: For every patient requiring a higher level of care sent by a light hospital, it would have to take a patient being cared for by the authors' in exchange. This arrangement allowed the admission patients who had been screened by other health professionals as requiring an acute intervention that the authors were in a unique position to provide, and ensured that patients would remain under medical care until they were stable enough to be discharged. Additionally, senior medical staff to light hospitals to help identify which patients would most likely benefit from being transferred to the authors' facility. With the other hospital teams' cooperation, surgeons performed needed morbidity and mortality reducing operations on more patients than would have otherwise been possible. Implementing a collaborative healthcare system would help achieve more optimal use of all the medical resources available in a disaster. Further optimization could likely be achieved if participating countries and organizations adhered to a standardized classification and coordination system. Both levels of coordination, at the preparatory and deployment stages, would likely lead to decreased mortality, morbidity, and disability among the devastated population.

Author(s):  
Simone Wurster ◽  
Michael Klafft ◽  
Frank Fiedrich ◽  
Andreas Bohn

Sudden cardiac arrest (SCA) is among the three most prominent causes of death in industrialized nations. Therefore, experts are calling for solutions, including IT-systems to mobilize volunteers. SCA emergencies require immediate action and advanced first aid skills. As of today, emergency services are often unable to arrive at the victim in time, and laypeople on the scene frequently fail to conduct resuscitation properly. One approach to solve this problem is to rely on skilled volunteers, who are alerted by smartphone apps. Among others, German researchers are currently developing a crisis response system with a crowd tasking app. It aims to help reduce the effects of large-scale events, but also of ad-hoc incidents including SCA. This paper describes an approach to determine the potential of the system to increase the survival rate of SCA illustrated based upon data from Germany. Its concept was analyzed by experts and benefited from their feedback.


1970 ◽  
Vol 21 (2) ◽  
pp. 187-198
Author(s):  
Serlika Aprita ◽  
Lilies Anisah

The Covid-19 pandemic was taking place in almost all countries around the world. Along with the increasingly vigorous government strategy in tackling the spread of the corona virus that was still endemic until now, the government had started to enforce the Large-Scale Social Restrictions (PSBB) with the signing of Government Regulation (PP) No. 21 of 2020 about PSBB which was considered able to accelerate countermeasures while preventing the spread of corona that was increasingly widespread in Indonesia. The research method used was normative prescriptive. The government put forward the principle of the state as a problem solver. The government minimized the use of region errors as legitimacy to decentralization. The government should facilitated regional best practices in handling the pandemic. Thus, the pandemic can be handled more effectively. The consideration, the region had special needs which were not always accommodated in national policies. The government policy should be able to encourage the birth of regional innovations in handling the pandemic as a form of fulfilling human rights in the field of health. Innovation was useful in getting around the limitations and differences in the context of each region. In principle, decentralization required positive incentives, not penalties. Therefore, incentive-based central policies were more awaited in handling and minimizing the impact of the pandemic.    


This case study conducted to investigate the impact of a responsive leadership approach in meeting customers' needs in a higher education institution in the UAE during the COVID-19 pandemic. For this purpose, a mixed-method model has been used. The data has been collected from a convenient sample working and studying at Al Qasimia University Language Center, in fall 2020. This result indicates that the provided responsive leadership support during COVID-19 was effective and helped in motivating learners and customers to keep learning and making progress greater than what was shown before COVID-19, during the face-to-face teaching and physical assessment. Although the qualitative and quantitative results in this case study revealed a significant impact of responsive leadership approach on customers’ progress, there is still a need to conduct other researches to develop and validate a responsive leadership inventory to facilitate measuring of responsive leadership attributes in a large scale sample and/or population.


2012 ◽  
Vol 1 (33) ◽  
pp. 74 ◽  
Author(s):  
Dimitris Stagonas ◽  
Gerald Muller ◽  
Karunya Ramachandran ◽  
Stefan Schimmels ◽  
Alec Dane

Although existing knowledge on the vertical distribution of impact pressures on sea-dikes is well established only very little is known with respect to their horizontal distribution. A collaboration developed between the University of Southampton, Uk and FZK, Hannover looks in more detail at the distribution of pressures induced by waves breaking on the face of a sea-dike. For this, 2D large scale experiments with waves breaking on a 1:3 sea dike were conducted but instead of pressure transducers a tactile pressure sensor was used to map the impact pressures. Such sensors were initially used with breaking waves in the University of Southampton and their use for large scale experiments was attempted here for the first time. In the current paper the calibration and application of the tactile sensor for experiments involving up to 1m high and 8sec long waves are initially described. Preliminary results illustrating the simultaneous distribution of impact induced pressures over an area of 426.7x487.7mm are then presented. Based on these pressure maps the vertical and horizontal location of maximum breaking wave induced pressures is also deduced.


Author(s):  
Homer Papadopoulos ◽  
Antonis Korakis

This article presents a method to predict the medical resources required to be dispatched after large-scale disasters to satisfy the demand. The historical data of past incidents (earthquakes, floods) regarding the number of victims requested emergency medical services and hospitalisation, simulation tools, web services and machine learning techniques have been combined. The authors adopted a twofold approach: a) use of web services and simulation tools to predict the potential number of victims and b) use of historical data and self-trained algorithms to “learn” from these data and provide relative predictions. Comparing actual and predicted victims needed hospitalisation showed that the proposed models can predict the medical resources required to be dispatched with acceptable errors. The results are promoting the use of electronic platforms able to coordinate an emergency medical response since these platforms can collect big heterogeneous datasets necessary to optimise the performance of the suggested algorithms.


2012 ◽  
Vol 8 (4) ◽  
pp. 725190 ◽  
Author(s):  
Miguel S. Familiar ◽  
José F. Martínez ◽  
Lourdes López

In the twenty-first century, the impact of wireless and ubiquitous technologies is changing the way people perceive and interact with the physical world. These communication paradigms promise to change and redefine, in a reasonably short period of time, the most common way of our everyday living. The continuous advances in the field of Wireless Sensor Networks and their direct application in Smart Spaces are clear examples of it. However, in order for this kind of new generation infrastructures to have a large-scale dissemination, there are still some open issues to tackle. In this way, this paper presents nSOM, a service-oriented framework based on sensor network design that provides internetworking services with the Internet cloud. This lightweight middleware architecture implements an agent-based virtual sensor service approach which is a compact semantic knowledge management scheme based on a dynamic composition model.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241538 ◽  
Author(s):  
Rocío Muñoz-Moreno ◽  
Alfonso Chaves-Montero ◽  
Aleix Morilla-Luchena ◽  
Octavio Vázquez-Aguado

During the state of alarm declared in Spain by COVID-19 due to the pandemic, the country's authorities declared Social Services and their workers to be essential, considering that the activity of these professionals with the vulnerable population was crucial and that services should continue to be provided to guarantee the well-being of users in this exceptionally serious situation. This article analyzes the impact that the COVID-19 and the state of alarm has had on Spanish social service professionals. An ad hoc questionnaire was used, administered on-line, individually, voluntarily and anonymously to 560 professionals working in social services, both in the public and private sectors, based throughout Spain. This questionnaire has five different parts: socio-demographic profiling, impact that the health crisis has had on the practice of professional functions, degree of knowledge of the measures imposed to guarantee the protection and safety of professionals and users, impact that it has had on the professional and personal development of social services professionals and, the fifth and last part, degree of adaptation of the measures aimed at the care of the vulnerable population. These results are discussed based on the situation in which professionals working in this sector find themselves in the face of the changes they are experiencing in the development of their work, and we are able to determine the profile of the workers who have felt most affected by the situation, with the consequent and foreseeable mental and emotional affectation that this implies. These professionals tend to value more negatively the set of measures developed to mitigate the impact of COVID-19 on Spanish social services.


Author(s):  
Homer Papadopoulos ◽  
Antonis Korakis

This article presents a method to predict the medical resources required to be dispatched after large-scale disasters to satisfy the demand. The historical data of past incidents (earthquakes, floods) regarding the number of victims requested emergency medical services and hospitalisation, simulation tools, web services and machine learning techniques have been combined. The authors adopted a twofold approach: a) use of web services and simulation tools to predict the potential number of victims and b) use of historical data and self-trained algorithms to “learn” from these data and provide relative predictions. Comparing actual and predicted victims needed hospitalisation showed that the proposed models can predict the medical resources required to be dispatched with acceptable errors. The results are promoting the use of electronic platforms able to coordinate an emergency medical response since these platforms can collect big heterogeneous datasets necessary to optimise the performance of the suggested algorithms.


2020 ◽  
Author(s):  
Lazaro J. Perez ◽  
Nicole L. Sund ◽  
Rishi Parashar ◽  
Andrew E. Plymale ◽  
Dehong Hu ◽  
...  

<p>Diverse processes such as bioremediation, biofertilization, and microbial drug delivery<br>rely on bacterial migration in porous media. However, how pore-scale confinement alters<br>bacterial motility is unknown due to the inherent heterogeneity in porous media. As a<br>result, models of migration are limited and often employ ad hoc assumptions.<br>We aim to determine the impact of pore confinement in the spreading dynamics of two<br>populations of motile metal reducing bacteria by directly visualizing individual <em>Acidovorax</em><br>and <em>Pelosinus</em> in an unconfined liquid medium and in a microfluidic chip containing regular<br>placed pillars. We observe that the length of runs of the two species differs from the<br>unconfined and confined medium. Results show that bacteria in the confined medium<br>display a systematic shorter jumps due to grain obstacles when compared to the open<br>porous medium. Close inspection of the trajectories reveals that cells are intermittently<br>and transiently trapped, which produces superdiffusive motion at early and subdiffusion<br>behavior at late times, as they navigate through the confined pore space. While in the open<br>medium, we observe a linearly increasing variance with respect to time for <em>Acidovorax</em>, and<br>for <em>Pelosinus</em> the variance increases at a much faster rate showing super diffusive behavior<br>at early times. At late times, the rate of growth in spreading increases for <em>Acidovorax</em> while<br>it reduces for <em>Pelosinus</em>. We finally discuss that the paradigm of run-and-tumble motility<br>is dramatically altered in the confined porous medium and its practical applications of<br>these effects on large-scale transport.</p>


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