AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS

Serene Almomen; Daniel Menascé

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Paper

AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS

Topics: Affective Computing; Design and Development Methodologies for Healthcare IT; Evaluation and Use of Healthcare IT; Healthcare Management Systems; Software Systems in Medicine

In Proceedings of the International Conference on Health Informatics - Volume 0BIOSTEC, 52-60, 2011 , Rome, Italy

Authors: Serene Almomen and Daniel Menascé

Affiliation: George Mason University, United States

Keyword(s): Autonomic Computing, Healthcare, Emergency Department, Quality of Service, Self-Managed System.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Biomedical Engineering ; Design and Development Methodologies for Healthcare IT ; Evaluation and Use of Healthcare IT ; Health Information Systems ; Healthcare Management Systems ; Software Systems in Medicine

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 several formats:

Almomen, S. and Menascé, D. (2011). AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS . In Proceedings of the International Conference on Health Informatics (BIOSTEC 2011) - HEALTHINF; ISBN 978-989-8425-34-8; ISSN 2184-4305, SciTePress, pages 52-60. DOI: 10.5220/0003138200520060

@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 (BIOSTEC 2011) - HEALTHINF},
year={2011},
pages={52-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003138200520060},
isbn={978-989-8425-34-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2011) - HEALTHINF
TI - AN AUTONOMIC COMPUTING FRAMEWORK FOR SELF-MANAGED EMERGENCY DEPARTMENTS
SN - 978-989-8425-34-8
IS - 2184-4305
AU - Almomen, S.
AU - Menascé, D.
PY - 2011
SP - 52
EP - 60
DO - 10.5220/0003138200520060
PB - SciTePress