AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS

Serene Almomen, Daniel Menascé

Abstract

The delivery of cost-effective and quality Emergency Department (ED) services remains an important and ongoing challenge for the healthcare industry. ED overcrowding has become a common problem in hospitals around the world, threatening the safety of patients who rely on timely emergency treatment. Despite numerous advances in medical procedures and technologies, EDs continue to experience overcrowding problems. The combination of increased demand and diminished resources makes optimizing emergency departments a difficult problem for healthcare decision makers. We examine this problem by applying an autonomic computing framework for self-managed emergency departments to maintain optimal Quality of Service (QoS) during its operation. Our work has potential implications in guiding a hospital’s effort to optimize their emergency department system.

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Paper Citation


in Harvard Style

Almomen S. and Menascé D. (2011). AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 52-60. DOI: 10.5220/0003138200520060


in Bibtex Style

@conference{healthinf11,
author={Serene Almomen and Daniel Menascé},
title={AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={52-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003138200520060},
isbn={978-989-8425-34-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS
SN - 978-989-8425-34-8
AU - Almomen S.
AU - Menascé D.
PY - 2011
SP - 52
EP - 60
DO - 10.5220/0003138200520060