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Reducing ambulance response times using geospatial-time analysis of ambulance deployment.
Marcus Eng Hock Ong1, Tut Fu Chiam, Faith Suan Peng Ng
1Department of Emergency Medicine, Singapore General Hospital, Singapore. marcus.ong.e.h@sgh.com.sg
Implementing a geospatial-time analysis deployment strategy significantly reduced ambulance response times for out-of-hospital cardiac arrests (OOHCA). This cost-effective approach improved emergency medical services (EMS) efficiency.
Area of Science:
- Emergency Medical Services
- Public Health
- Geospatial Analysis
Background:
- Out-of-hospital cardiac arrests (OOHCA) require rapid emergency medical services (EMS) response.
- Optimizing ambulance deployment is crucial for reducing response times and improving patient outcomes.
Purpose of the Study:
- To evaluate the effectiveness of a geospatial-time analysis-based deployment strategy in reducing ambulance response times for OOHCA.
- To assess the impact of increased ambulance bases and demand-based deployment on response efficiency.
Main Methods:
- An observational prospective study in Singapore analyzed OOHCA locations using a geographic information system (GIS).
- Ambulance bases were progressively increased from 17 to 32, with deployment varying by time of day and demand.
- Ambulance and crew numbers remained constant.
Main Results:
- Response times for OOHCA significantly decreased from a median of 10.1 minutes to 7.1 minutes.
- The proportion of responses within 8 minutes increased from 22.3% to 47.3%, and within 11 minutes from 57.6% to 77.5%.
- A significant correlation was found between increased deployment locations and reduced response times.
Conclusions:
- A simple, low-cost ambulance deployment strategy utilizing geospatial-time analysis significantly reduced OOHCA response times.
- Geospatial-time analysis is a valuable tool for enhancing emergency medical services (EMS) operational efficiency.
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