Simulation of Response Time Reduction of OHCA Considering Drone Base Selection for AED Delivery

10 pages•Published: August 28, 2025

Yu Wu, Kuan-Chen Chin, Jen-Tang Sun, Ying-Chih Ko, Wen-Chu Chiang, Matthew Huei-Ming Ma and Albert Y. Chen

Abstract

Out-of-Hospital Cardiac Arrest (OHCA) is a critical medical emergency that requires immediate intervention. With technological advancements, integrating drones into the Emergency Medical Services (EMS) has emerged as a promising solution. This study examines OHCA cases in Taipei and New Taipei City, Taiwan, from September to December 2019. A two-phase optimization model was employed to identify the effective locations for drone bases. Among the scenarios tested, settings with a maximum flight time of 7 minutes, 90% OHCA case coverage, and 13 drone bases, demonstrated the best overall performance in terms of system-wide and area-specific usage rates, response time reduction, and cost-effectiveness. These findings provide valuable insights into the feasibility of drone deployment and offer practical reference for real-world emergency applications.

Keyphrases: aed, drones, ems, ohca, response time

In: Jack Cheng and Yu Yantao (editors). Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, pages 1070-1079.

Links:	https://easychair.org/publications/paper/mN3F
	https://doi.org/10.29007/hzgb

BibTeX entry

@inproceedings{ICCBEI2025:Simulation_Response_Time_Reduction,
  author    = {Yu Wu and Kuan-Chen Chin and Jen-Tang Sun and Ying-Chih Ko and Wen-Chu Chiang and Matthew Huei-Ming Ma and Albert Y. Chen},
  title     = {Simulation of Response Time Reduction of OHCA Considering Drone Base Selection for AED Delivery},
  booktitle = {Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics},
  editor    = {Jack Cheng and Yu Yantao},
  series    = {Kalpa Publications in Computing},
  volume    = {22},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/mN3F},
  doi       = {10.29007/hzgb},
  pages     = {1070-1079},
  year      = {2025}}

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