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Intelligent event processing for emergency medical assistance

Published: 24 March 2014 Publication History

Abstract

The main objective of Emergency Medical Assistance services is to attend patients with sudden diseases at any possible location within an area of influence. Especially for severe emergency patients, the potential of such systems to reduce mortality is directly related to the response time, e.g., the time a patient has to wait for an ambulance. An efficient coordination of the ambulance fleet is crucial for reducing the response times of a service. And this requires complete, real-time information about the current state of the ambulance fleet. Such information is usually transmitted by the ambulance crew members. However, due to the often stressful work of those professionals, the information is frequently not sent in a timely manner. In this paper we present an approach that addresses this problem. We use a Complex Event Processing architecture to automatically identify and transmit incidents and changes in the operational states of ambulances. As a result, the availability of information in the control centre and, thus, the effectiveness of the service is improved. The system is inspired by the operational model of SUMMA112, the Emergency Medical Coordination Centre of the Autonomous Region of Madrid in Spain.

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  • (2023)Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile CrowdsourcingSensors10.3390/s2302061423:2(614)Online publication date: 5-Jan-2023
  • (2019)Dynamic coordination of ambulances for emergency medical assistance servicesKnowledge-Based Systems10.1016/j.knosys.2014.07.00670:C(268-280)Online publication date: 1-Jan-2019
  • (2017)Towards Dynamic Rebalancing of Bike Sharing Systems: An Event-Driven Agents ApproachProgress in Artificial Intelligence10.1007/978-3-319-65340-2_26(309-320)Online publication date: 9-Aug-2017
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cover image ACM Conferences
SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
March 2014
1890 pages
ISBN:9781450324694
DOI:10.1145/2554850
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 24 March 2014

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SAC 2014: Symposium on Applied Computing
March 24 - 28, 2014
Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2023)Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile CrowdsourcingSensors10.3390/s2302061423:2(614)Online publication date: 5-Jan-2023
  • (2019)Dynamic coordination of ambulances for emergency medical assistance servicesKnowledge-Based Systems10.1016/j.knosys.2014.07.00670:C(268-280)Online publication date: 1-Jan-2019
  • (2017)Towards Dynamic Rebalancing of Bike Sharing Systems: An Event-Driven Agents ApproachProgress in Artificial Intelligence10.1007/978-3-319-65340-2_26(309-320)Online publication date: 9-Aug-2017
  • (2016)Distributed coordination of emergency medical service for angioplasty patientsAnnals of Mathematics and Artificial Intelligence10.1007/s10472-016-9507-978:1(73-100)Online publication date: 1-Sep-2016
  • (2015)Event-based vs. multi-agent systems: Towards a unified conceptual framework2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD.2015.7230924(1-6)Online publication date: May-2015

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