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GIS Mapping Evaluation of Stroke Service Areas in Bangkok Using Emergency Medical Services

Bibliographic Data

ID22032414
AuthorsKiatirat Sreemongkol (Chulalongkorn University), Manoj Lohatepanont (Chulalongkorn University, corresponding author), Pannee Cheewinsiriwat (0000-0001-6399-1225, Chulalongkorn University), Tanyaluk O Bunlikitkul (King Chulalongkorn Memorial Hospital), Jirapong Supasaovapak (Rajavithi Hospital)
Year2021
Volume10
Issue10
Pages651
Publication date2021-09-27
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10100651
OpenAlexW3203229399
LanguageEN
Citations received2
References cited12

Stroke is a major cause of death in Thailand. It requires a specific time period of 4.5 h from onset to treatment to increase recovery rates, and therefore, it can be categorized as a time-sensitive disease. The objective of this research is to identify whether the service areas of the main existing Emergency Medical Services (EMS) prehospital stroke practices cover all areas in Bangkok. This is determined by using GIS mapping. After verifying the current EMS delivery models, comparisons are drawn to find the travelling time of each model. The conditioning factors for GIS mapping were collected and verified, including the traffic speed and duration spent in each mode of the prehospital stroke process. After inputting all of the data into GIS, the service areas were visualized to show the area serviced in each delivery model. The results also show the different hospital groups, including the service areas for (1) non-network hospitals and (2) hospitals with stroke networks. Suggestions for re-networking and adding more hospitals to the existing networks were also identified using GIS. Regularly updating the service area with up-to-date data in GIS is key to improving stroke service areas

Business · Cartography · Computer security · Geographic information system · Geography · Medical emergency · Service delivery framework · Service model · Acute Ischemic Stroke Management · Clinical practice guidelines implementation · Computer Science · Engineering · Medicine · Trauma and Emergency Care Studies · Emergency Medical Services

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Citations per year0.5
Citation span2022 - 2025 (4)
Highly citedNo

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