Research Article
Volume 4 Issue 7 - 2022
Geosimulation Based Deployment of Automated External Defibrillator (AED) Equipped Mobile Responders for Optimizing the Survival Rate of Out-of-Hospital Cardiac Arrest at the Example of the City of Bangkok

Joost A1, Langer H1, Gräsner JT2,3, Wnent J2,3, Ngarmukos T4, Kleehaus A5 and Elsner CH6*

1University Hospital Schleswig-Holstein, Universitary Heart Center Lübeck, Germany
2Institute for Emergency Medicine, University Hospital Schleswig-Holstein, Kiel, Germany
3Department of Anesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Kiel, Germany
4Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
5PriceWaterHouseCoopers, Zürich, Switzerland
6Board of Directors, CFO University Medicine Mainz, Germany
*Corresponding Author: Elsner CH, Board of Directors, CFO University Medicine Mainz, Germany.
Received: March 21, 2022; Published: June 23, 2022


It is still one of the main problems of out-of-hospital cardiac arrest (OHCA), that laypersons can´t help in a sufficient quota to perform adequate Cardio-Pulmonary-Resuscitation (CPR). Either their willingness to help, their training or their equipment is just not sufficient to do so. Therefore, different elements have been setup by emergency managers: Starting from telephone guided CPR assistance over continuous training of laypersons one element is the IT-supported delivery or guidance of resources like AEDs or CPR trained personnel over means of IT-Guided persons and resources by foot, vehicles or drones. This study evaluated the impact on OHCA of one specific setting at the example of Bangkok. A simulated case study for the city of Bangkok was done. Therefore, the study generated a Google-Maps-API geosimulation model for AED equipped mobile responders. The case study could show for what effort such an approach could add value to the rescue chain in the given city: For the scenario a minimum of 3.5 mobile responders with AEDs per square kilometer would be able to improve the given rescue situation compared to the classical ambulance. Given an auto rickshaw (Tuk Tuk) usage time of 15 hours per day, a density of 1 Tuk Tuk per 700 inhabitants and an achievable quote of 20% AED equipped vehicles with trained drivers, the approach would make sense for 5 of the 50 districts of Bangkok. The developed case study model is capable of adapting to different other scenarios like other cities, other vehicles or other resources to bring to the site of OHCA. Due to the integration of a real-live Google Maps API, the work allows the integration of individual traffic and street situations in a specific city or setting. Therefore, the work could be valuable for the standardized evaluation of different other supportive OHCA CPR support Cases on the base of an extended IT-supported logistics scenarios. For the specific scenario of Bangkok only a very focused usage in 5 high density suburban areas would be feasible and adding value to the rescue chain.


Keywords: First-Responder; Recue-Chain; App; Geosimulation; SCD; OHCA CPR; AED Distribution; Healthcare Digitalisation


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Citation: Elsner CH., et al. “Geosimulation Based Deployment of Automated External Defibrillator (AED) Equipped Mobile Responders for Optimizing the Survival Rate of Out-of-Hospital Cardiac Arrest at the Example of the City of Bangkok”. EC Nursing and Healthcare 4.7 (2022): 28-36.

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