The emergency medical service dispatch recommendation system using simulation based on bed availability
Abstract Objective The number of patients using emergency medical services (EMS) through ambulance dispatch has been increasing annually in Taiwan. Due to limited medical resource allocation, patients may not get on-time admission after they are sent to a hospital Emergency Department. This study ai...
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| Format: | Article |
| Language: | English |
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BMC
2024-11-01
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| Series: | BMC Health Services Research |
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| Online Access: | https://doi.org/10.1186/s12913-024-12006-8 |
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| author | Yeong-Yuh Xu Shao-Jen Weng Ping-Wen Huang Lee-Min Wang Chih-Hao Chen Yao-Te Tsai Ming-Che Tsai |
| author_facet | Yeong-Yuh Xu Shao-Jen Weng Ping-Wen Huang Lee-Min Wang Chih-Hao Chen Yao-Te Tsai Ming-Che Tsai |
| author_sort | Yeong-Yuh Xu |
| collection | DOAJ |
| description | Abstract Objective The number of patients using emergency medical services (EMS) through ambulance dispatch has been increasing annually in Taiwan. Due to limited medical resource allocation, patients may not get on-time admission after they are sent to a hospital Emergency Department. This study aimed to construct a forecasting system to predict the availability of ED and ICU beds. Materials and methods A simulation-based forecasting system integrated with Google Maps is proposed to provide ED recommendations for ambulance dispatch. The web crawler technique continuously collects open data from the emergency information systems. An arrival transfer mechanism was proposed to convert the raw data into a simulation input. The results were then integrated with hospital assessment and routing distance in Google Maps to provide the most appropriate hospital ED to which a patient should be sent. Results The results provided forecast accuracy for bed availability for the next 20, 40, and 60 min in 10 selected hospitals in central Taiwan. In most hospitals, the forecasting accuracy is high. For example, the ED and ICU bed availability accuracies in the next 20, 40, and 60 min are [100%, 88.7%], [100%, 90.5%], and [100%, 92.1%]. The two scenarios also showed hospital recommendations based on the available beds, routing distance, and eight-dimensional assessments. Conclusion Previous EMS research usually did not consider future bed availability as the research target. This study predicted future bed availability and recommended the most appropriate hospitals for EMS dispatchers. |
| format | Article |
| id | doaj-art-bb4fac08abaf4037b1d98245ed0768cd |
| institution | DOAJ |
| issn | 1472-6963 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj-art-bb4fac08abaf4037b1d98245ed0768cd2025-08-20T02:51:45ZengBMCBMC Health Services Research1472-69632024-11-012411810.1186/s12913-024-12006-8The emergency medical service dispatch recommendation system using simulation based on bed availabilityYeong-Yuh Xu0Shao-Jen Weng1Ping-Wen Huang2Lee-Min Wang3Chih-Hao Chen4Yao-Te Tsai5Ming-Che Tsai6Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of TechnologyDepartment of Industrial Engineering and Enterprise Information, Tunghai UniversityDepartment of Emergency Medicine, Show Chwan Memorial HospitalDepartment of Internal Medicine, Jen-Ai HospitalDepartment of Industrial Engineering and Enterprise Information, Tunghai UniversityDepartment of Information Management, National Kaohsiung University of Science and TechnologyCollege of Medicine, Chung Shan Medical UniversityAbstract Objective The number of patients using emergency medical services (EMS) through ambulance dispatch has been increasing annually in Taiwan. Due to limited medical resource allocation, patients may not get on-time admission after they are sent to a hospital Emergency Department. This study aimed to construct a forecasting system to predict the availability of ED and ICU beds. Materials and methods A simulation-based forecasting system integrated with Google Maps is proposed to provide ED recommendations for ambulance dispatch. The web crawler technique continuously collects open data from the emergency information systems. An arrival transfer mechanism was proposed to convert the raw data into a simulation input. The results were then integrated with hospital assessment and routing distance in Google Maps to provide the most appropriate hospital ED to which a patient should be sent. Results The results provided forecast accuracy for bed availability for the next 20, 40, and 60 min in 10 selected hospitals in central Taiwan. In most hospitals, the forecasting accuracy is high. For example, the ED and ICU bed availability accuracies in the next 20, 40, and 60 min are [100%, 88.7%], [100%, 90.5%], and [100%, 92.1%]. The two scenarios also showed hospital recommendations based on the available beds, routing distance, and eight-dimensional assessments. Conclusion Previous EMS research usually did not consider future bed availability as the research target. This study predicted future bed availability and recommended the most appropriate hospitals for EMS dispatchers.https://doi.org/10.1186/s12913-024-12006-8Healthcare networkSimulationEmergencyWeb crawlerForecasting |
| spellingShingle | Yeong-Yuh Xu Shao-Jen Weng Ping-Wen Huang Lee-Min Wang Chih-Hao Chen Yao-Te Tsai Ming-Che Tsai The emergency medical service dispatch recommendation system using simulation based on bed availability BMC Health Services Research Healthcare network Simulation Emergency Web crawler Forecasting |
| title | The emergency medical service dispatch recommendation system using simulation based on bed availability |
| title_full | The emergency medical service dispatch recommendation system using simulation based on bed availability |
| title_fullStr | The emergency medical service dispatch recommendation system using simulation based on bed availability |
| title_full_unstemmed | The emergency medical service dispatch recommendation system using simulation based on bed availability |
| title_short | The emergency medical service dispatch recommendation system using simulation based on bed availability |
| title_sort | emergency medical service dispatch recommendation system using simulation based on bed availability |
| topic | Healthcare network Simulation Emergency Web crawler Forecasting |
| url | https://doi.org/10.1186/s12913-024-12006-8 |
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