Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest
The use of an automated external defibrillator (AED) prior to EMS arrival can increase 30-day survival in out-of-hospital cardiac arrest (OHCA) significantly. Drones or unmanned aerial vehicles (UAV) can fly with high velocity and potentially transport devices such as AEDs to the site of OHCAs. The...
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Veröffentlicht in: | Scandinavian journal of trauma, resuscitation and emergency medicine resuscitation and emergency medicine, 2016-10, Vol.24 (1), p.124-124, Article 124 |
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description | The use of an automated external defibrillator (AED) prior to EMS arrival can increase 30-day survival in out-of-hospital cardiac arrest (OHCA) significantly. Drones or unmanned aerial vehicles (UAV) can fly with high velocity and potentially transport devices such as AEDs to the site of OHCAs. The aim of this explorative study was to investigate the feasibility of a drone system in decreasing response time and delivering an AED.
Data of Global Positioning System (GPS) coordinates from historical OHCA in Stockholm County was used in a model using a Geographic Information System (GIS) to find suitable placements and visualize response times for the use of an AED equipped drone. Two different geographical models, urban and rural, were calculated using a multi-criteria evaluation (MCE) model. Test-flights with an AED were performed on these locations in rural areas.
In total, based on 3,165 retrospective OHCAs in Stockholm County between 2006-2013, twenty locations were identified for the potential placement of a drone. In a GIS-simulated model of urban OHCA, the drone arrived before EMS in 32 % of cases, and the mean amount of time saved was 1.5 min. In rural OHCA the drone arrived before EMS in 93 % of cases with a mean amount of time saved of 19 min. In these rural locations during (n = 13) test flights, latch-release of the AED from low altitude (3-4 m) or landing the drone on flat ground were the safest ways to deliver an AED to the bystander and were superior to parachute release.
The difference in response time for EMS between urban and rural areas is substantial, as is the possible amount of time saved using this UAV-system. However, yet another technical device needs to fit into the chain of survival. We know nothing of how productive or even counterproductive this system might be in clinical reality.
To use drones in rural areas to deliver an AED in OHCA may be safe and feasible. Suitable placement of drone systems can be designed by using GIS models. The use of an AED equipped drone may have the potential to reduce time to defibrillation in OHCA. |
doi_str_mv | 10.1186/s13049-016-0313-5 |
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Data of Global Positioning System (GPS) coordinates from historical OHCA in Stockholm County was used in a model using a Geographic Information System (GIS) to find suitable placements and visualize response times for the use of an AED equipped drone. Two different geographical models, urban and rural, were calculated using a multi-criteria evaluation (MCE) model. Test-flights with an AED were performed on these locations in rural areas.
In total, based on 3,165 retrospective OHCAs in Stockholm County between 2006-2013, twenty locations were identified for the potential placement of a drone. In a GIS-simulated model of urban OHCA, the drone arrived before EMS in 32 % of cases, and the mean amount of time saved was 1.5 min. In rural OHCA the drone arrived before EMS in 93 % of cases with a mean amount of time saved of 19 min. In these rural locations during (n = 13) test flights, latch-release of the AED from low altitude (3-4 m) or landing the drone on flat ground were the safest ways to deliver an AED to the bystander and were superior to parachute release.
The difference in response time for EMS between urban and rural areas is substantial, as is the possible amount of time saved using this UAV-system. However, yet another technical device needs to fit into the chain of survival. We know nothing of how productive or even counterproductive this system might be in clinical reality.
To use drones in rural areas to deliver an AED in OHCA may be safe and feasible. Suitable placement of drone systems can be designed by using GIS models. The use of an AED equipped drone may have the potential to reduce time to defibrillation in OHCA.</description><identifier>ISSN: 1757-7241</identifier><identifier>EISSN: 1757-7241</identifier><identifier>DOI: 10.1186/s13049-016-0313-5</identifier><identifier>PMID: 27729058</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>AED ; Altitude ; Cardiac arrest ; Cardiopulmonary Resuscitation - instrumentation ; Care and treatment ; Defibrillation ; Defibrillators ; Drone ; Drone aircraft ; Drones ; Electric Countershock - instrumentation ; Electric Countershock - utilization ; Emergency Medical Services - methods ; Emergency service ; EMS ; Equipment Design ; Etiology ; Feasibility Studies ; Fire departments ; Geographic information systems ; Hospitals ; Humans ; Medicin och hälsovetenskap ; Models, Theoretical ; Original Research ; Out-of-Hospital Cardiac Arrest - therapy ; Pilots ; Response time ; Retrospective Studies ; Rural areas ; Rural Population ; Sweden ; UAV ; Unmanned aerial vehicles ; Urban Population</subject><ispartof>Scandinavian journal of trauma, resuscitation and emergency medicine, 2016-10, Vol.24 (1), p.124-124, Article 124</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>The Author(s). 2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c717t-b7c15d2d639b4330317fa4a99558cee988ef4467da037620f4f246ac2bb8d0283</citedby><cites>FETCH-LOGICAL-c717t-b7c15d2d639b4330317fa4a99558cee988ef4467da037620f4f246ac2bb8d0283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059909/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059909/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27729058$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-195247$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:134378402$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Claesson, A</creatorcontrib><creatorcontrib>Fredman, D</creatorcontrib><creatorcontrib>Svensson, L</creatorcontrib><creatorcontrib>Ringh, M</creatorcontrib><creatorcontrib>Hollenberg, J</creatorcontrib><creatorcontrib>Nordberg, P</creatorcontrib><creatorcontrib>Rosenqvist, M</creatorcontrib><creatorcontrib>Djarv, T</creatorcontrib><creatorcontrib>Österberg, S</creatorcontrib><creatorcontrib>Lennartsson, J</creatorcontrib><creatorcontrib>Ban, Y</creatorcontrib><title>Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest</title><title>Scandinavian journal of trauma, resuscitation and emergency medicine</title><addtitle>Scand J Trauma Resusc Emerg Med</addtitle><description>The use of an automated external defibrillator (AED) prior to EMS arrival can increase 30-day survival in out-of-hospital cardiac arrest (OHCA) significantly. Drones or unmanned aerial vehicles (UAV) can fly with high velocity and potentially transport devices such as AEDs to the site of OHCAs. The aim of this explorative study was to investigate the feasibility of a drone system in decreasing response time and delivering an AED.
Data of Global Positioning System (GPS) coordinates from historical OHCA in Stockholm County was used in a model using a Geographic Information System (GIS) to find suitable placements and visualize response times for the use of an AED equipped drone. Two different geographical models, urban and rural, were calculated using a multi-criteria evaluation (MCE) model. Test-flights with an AED were performed on these locations in rural areas.
In total, based on 3,165 retrospective OHCAs in Stockholm County between 2006-2013, twenty locations were identified for the potential placement of a drone. In a GIS-simulated model of urban OHCA, the drone arrived before EMS in 32 % of cases, and the mean amount of time saved was 1.5 min. In rural OHCA the drone arrived before EMS in 93 % of cases with a mean amount of time saved of 19 min. In these rural locations during (n = 13) test flights, latch-release of the AED from low altitude (3-4 m) or landing the drone on flat ground were the safest ways to deliver an AED to the bystander and were superior to parachute release.
The difference in response time for EMS between urban and rural areas is substantial, as is the possible amount of time saved using this UAV-system. However, yet another technical device needs to fit into the chain of survival. We know nothing of how productive or even counterproductive this system might be in clinical reality.
To use drones in rural areas to deliver an AED in OHCA may be safe and feasible. Suitable placement of drone systems can be designed by using GIS models. The use of an AED equipped drone may have the potential to reduce time to defibrillation in OHCA.</description><subject>AED</subject><subject>Altitude</subject><subject>Cardiac arrest</subject><subject>Cardiopulmonary Resuscitation - instrumentation</subject><subject>Care and treatment</subject><subject>Defibrillation</subject><subject>Defibrillators</subject><subject>Drone</subject><subject>Drone aircraft</subject><subject>Drones</subject><subject>Electric Countershock - instrumentation</subject><subject>Electric Countershock - utilization</subject><subject>Emergency Medical Services - methods</subject><subject>Emergency service</subject><subject>EMS</subject><subject>Equipment Design</subject><subject>Etiology</subject><subject>Feasibility Studies</subject><subject>Fire departments</subject><subject>Geographic information systems</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Medicin och hälsovetenskap</subject><subject>Models, Theoretical</subject><subject>Original Research</subject><subject>Out-of-Hospital Cardiac Arrest - therapy</subject><subject>Pilots</subject><subject>Response time</subject><subject>Retrospective Studies</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Sweden</subject><subject>UAV</subject><subject>Unmanned aerial vehicles</subject><subject>Urban Population</subject><issn>1757-7241</issn><issn>1757-7241</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>D8T</sourceid><recordid>eNp9kl1rFDEUhgdR7If-AG9kQJB6kZrPSXJTWLZ-QcEb623IZDI7abPJmsxU_Pdm2G27Kyq5SDh53vccDm9VvULwHCHRvM-IQCoBRA2ABBHAnlTHiDMOOKbo6d77qDrJ-QbCBkNGn1dHmHMsIRPH1fI6rHUItqu1TU77-s4Oznib67MuxWDzu9qFOk4jiD0YYt64UXtgdOqcNkCnZPP4onrWa5_ty919Wl1__PBt-Rlcff30Zbm4AoYjPoKWG8Q63DVEtpSQMjHvNdVSMiaMtVII21Pa8E5DwsukPe0xbbTBbSs6iAU5rcDWN_-0m6lVm-TWOv1SUTu1K92Wl1UMIoF54eU_-U2K3aPoXogIJVxQiP_b69J9X6iYVup2HBSSDNO518WWL_DadsaGMWl_2PLgJ7hBreJdmZVJCWUxONsZpPhjKltVa5eN9V4HG6eskCCMQiIFKuibP9CbOKVQVq8wF4LS4icfqZX2VrnQx9LXzKZqQZuGICrFPPf5X6hyOrt2pgSgd6V-IHi7Jxis9uOQo59GF0M-BNEWNCnmnGz_sAwE1RxftY2vKvFVc3wVK5rX-1t8UNznlfwGOyPphw</recordid><startdate>20161012</startdate><enddate>20161012</enddate><creator>Claesson, A</creator><creator>Fredman, D</creator><creator>Svensson, L</creator><creator>Ringh, M</creator><creator>Hollenberg, J</creator><creator>Nordberg, P</creator><creator>Rosenqvist, M</creator><creator>Djarv, T</creator><creator>Österberg, S</creator><creator>Lennartsson, J</creator><creator>Ban, Y</creator><general>BioMed Central Ltd</general><general>Springer Nature B.V</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AFDQA</scope><scope>AOWAS</scope><scope>D8T</scope><scope>D8V</scope><scope>ZZAVC</scope></search><sort><creationdate>20161012</creationdate><title>Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest</title><author>Claesson, A ; Fredman, D ; Svensson, L ; Ringh, M ; Hollenberg, J ; Nordberg, P ; Rosenqvist, M ; Djarv, T ; Österberg, S ; Lennartsson, J ; Ban, Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c717t-b7c15d2d639b4330317fa4a99558cee988ef4467da037620f4f246ac2bb8d0283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>AED</topic><topic>Altitude</topic><topic>Cardiac arrest</topic><topic>Cardiopulmonary Resuscitation - instrumentation</topic><topic>Care and treatment</topic><topic>Defibrillation</topic><topic>Defibrillators</topic><topic>Drone</topic><topic>Drone aircraft</topic><topic>Drones</topic><topic>Electric Countershock - instrumentation</topic><topic>Electric Countershock - utilization</topic><topic>Emergency Medical Services - methods</topic><topic>Emergency service</topic><topic>EMS</topic><topic>Equipment Design</topic><topic>Etiology</topic><topic>Feasibility Studies</topic><topic>Fire departments</topic><topic>Geographic information systems</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Medicin och hälsovetenskap</topic><topic>Models, Theoretical</topic><topic>Original Research</topic><topic>Out-of-Hospital Cardiac Arrest - therapy</topic><topic>Pilots</topic><topic>Response time</topic><topic>Retrospective Studies</topic><topic>Rural areas</topic><topic>Rural Population</topic><topic>Sweden</topic><topic>UAV</topic><topic>Unmanned aerial vehicles</topic><topic>Urban Population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Claesson, A</creatorcontrib><creatorcontrib>Fredman, D</creatorcontrib><creatorcontrib>Svensson, L</creatorcontrib><creatorcontrib>Ringh, M</creatorcontrib><creatorcontrib>Hollenberg, J</creatorcontrib><creatorcontrib>Nordberg, P</creatorcontrib><creatorcontrib>Rosenqvist, M</creatorcontrib><creatorcontrib>Djarv, T</creatorcontrib><creatorcontrib>Österberg, S</creatorcontrib><creatorcontrib>Lennartsson, J</creatorcontrib><creatorcontrib>Ban, Y</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SWEPUB Kungliga Tekniska Högskolan full text</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><collection>SwePub Articles full text</collection><jtitle>Scandinavian journal of trauma, resuscitation and emergency medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Claesson, A</au><au>Fredman, D</au><au>Svensson, L</au><au>Ringh, M</au><au>Hollenberg, J</au><au>Nordberg, P</au><au>Rosenqvist, M</au><au>Djarv, T</au><au>Österberg, S</au><au>Lennartsson, J</au><au>Ban, Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest</atitle><jtitle>Scandinavian journal of trauma, resuscitation and emergency medicine</jtitle><addtitle>Scand J Trauma Resusc Emerg Med</addtitle><date>2016-10-12</date><risdate>2016</risdate><volume>24</volume><issue>1</issue><spage>124</spage><epage>124</epage><pages>124-124</pages><artnum>124</artnum><issn>1757-7241</issn><eissn>1757-7241</eissn><abstract>The use of an automated external defibrillator (AED) prior to EMS arrival can increase 30-day survival in out-of-hospital cardiac arrest (OHCA) significantly. Drones or unmanned aerial vehicles (UAV) can fly with high velocity and potentially transport devices such as AEDs to the site of OHCAs. The aim of this explorative study was to investigate the feasibility of a drone system in decreasing response time and delivering an AED.
Data of Global Positioning System (GPS) coordinates from historical OHCA in Stockholm County was used in a model using a Geographic Information System (GIS) to find suitable placements and visualize response times for the use of an AED equipped drone. Two different geographical models, urban and rural, were calculated using a multi-criteria evaluation (MCE) model. Test-flights with an AED were performed on these locations in rural areas.
In total, based on 3,165 retrospective OHCAs in Stockholm County between 2006-2013, twenty locations were identified for the potential placement of a drone. In a GIS-simulated model of urban OHCA, the drone arrived before EMS in 32 % of cases, and the mean amount of time saved was 1.5 min. In rural OHCA the drone arrived before EMS in 93 % of cases with a mean amount of time saved of 19 min. In these rural locations during (n = 13) test flights, latch-release of the AED from low altitude (3-4 m) or landing the drone on flat ground were the safest ways to deliver an AED to the bystander and were superior to parachute release.
The difference in response time for EMS between urban and rural areas is substantial, as is the possible amount of time saved using this UAV-system. However, yet another technical device needs to fit into the chain of survival. We know nothing of how productive or even counterproductive this system might be in clinical reality.
To use drones in rural areas to deliver an AED in OHCA may be safe and feasible. Suitable placement of drone systems can be designed by using GIS models. The use of an AED equipped drone may have the potential to reduce time to defibrillation in OHCA.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27729058</pmid><doi>10.1186/s13049-016-0313-5</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | AED Altitude Cardiac arrest Cardiopulmonary Resuscitation - instrumentation Care and treatment Defibrillation Defibrillators Drone Drone aircraft Drones Electric Countershock - instrumentation Electric Countershock - utilization Emergency Medical Services - methods Emergency service EMS Equipment Design Etiology Feasibility Studies Fire departments Geographic information systems Hospitals Humans Medicin och hälsovetenskap Models, Theoretical Original Research Out-of-Hospital Cardiac Arrest - therapy Pilots Response time Retrospective Studies Rural areas Rural Population Sweden UAV Unmanned aerial vehicles Urban Population |
title | Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest |
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