Positioning of aerial ambulances to improve health care access: A framework using fuzzy DEMATEL and fuzzy ANP

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dc.contributor.authorGhaderi M
dc.contributor.authorJahantigh FF
dc.contributor.authorKoushan, Mona
dc.contributor.authorWood LC
dc.date.accessioned2023-10-10T03:58:47Z
dc.date.available2023-10-10T03:58:47Z
dc.date.issued2023
dc.date.updated2023-07-03T23:02:17Z
dc.description.abstractAir ambulances are a crucial enabler of emergency health care because of their high speed, ability to reach impassable areas, relocate more patients, provide better treatment while carrying patients, and ease of access to the hospital without traffic or sudden accidents. The right location must be selected according to scientific principles that address relevant factors to increase air ambulance efficiency in an emergency. A descriptive-analytical approach was adopted to solve the problem of identifying the best locations for aerial ambulances, combining three distinct methods. The first step was to identify criteria affecting the location of air ambulances. Then, the location was determined using a fuzzy analytical network process model coupled with a fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique and a geographic information system. To examine the method, a case study was conducted in a province in southeast Iran. Case study results showed insufficient aerial ambulance stations and roads to meet the need. This study provides helpful information for city planners and health policymakers to determine the optimal location of air ambulances by analyzing geographical conditions and barriers to delivering high-quality care to remote area. The study can contribute to more sustainable cities through better health services for communities.
dc.identifier.citationGhaderi M, Jahantigh FF, Koushan M, Wood LC (2023). Positioning of aerial ambulances to improve health care access: A framework using fuzzy DEMATEL and fuzzy ANP. International Journal of Healthcare Management. 1-12.
dc.identifier.doihttp://doi.org/10.1080/20479700.2023.2190070
dc.identifier.issn2047-9700
dc.identifier.issn2047-9719
dc.identifier.urihttps://hdl.handle.net/10092/106277
dc.languageen
dc.publisherInforma UK Limited
dc.rightsAll rights reserved unless otherwise stated
dc.rights.urihttp://hdl.handle.net/10092/17651
dc.subjectAir Ambulances
dc.subjectLocation
dc.subjectGeographic Information System (GIS),
dc.subjectFuzzy Analytical Network Process (ANP)
dc.subjectFuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL)
dc.subject.anzsrc32 - Biomedical and clinical sciences::3202 - Clinical sciences::320207 - Emergency medicine
dc.subject.anzsrc35 - Commerce, management, tourism and services::3509 - Transportation, logistics and supply chains::350901 - Air transportation and freight services
dc.subject.anzsrc46 - Information and computing sciences::4602 - Artificial intelligence::460207 - Modelling and simulation
dc.subject.anzsrc46 - Information and computing sciences::4602 - Artificial intelligence::460204 - Fuzzy computation
dc.subject.anzsrc46 - Information and computing sciences::4602 - Artificial intelligence::460209 - Planning and decision making
dc.titlePositioning of aerial ambulances to improve health care access: A framework using fuzzy DEMATEL and fuzzy ANP
dc.typeJournal Article
uc.collegeUC Business School
uc.departmentManagement, Marketing and Tourism
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