Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions

Liwan Liyanage; J. George Shanthikumar; Cicil Fonseka; Mehdi Khosrowpour

Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions

Liwan Liyanage
, J. George Shanthikumar
, Cicil Fonseka
, Mehdi Khosrowpour

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

In this study we develop a Decision Support System tool to monitor and understand the characteristics of emergency departments of NSW Hospitals management systems in detail to find cost effective solutions to service quality improvements. In the past researchers have used statistical, operational research or simulation techniques in finding solutions to improve management systems. In contrast to these procedures we introduce a new way of integrating operations research and statistics to build an operations statistics model and simulate the system for forecasting. Statistical and data mining techniques are used to analvse data. Further computing and IT skills are used to create and integrate various functional modules in developing the Decision Support System tool. Finally the capabilities of the developed DSS tool will be illustrated by using several studies to improve efficiency of the Campbelltown Hospital emergency service facility.

Original language	English
Title of host publication	Proceedings of the 15th Information Resources Management Association International Conference, held in New Orleans, USA, 23-26 May, 2004
Publisher	Idea Group Publishing
Number of pages	4
ISBN (Electronic)	1591402611
ISBN (Print)	1591402794
Publication status	Published - 2004
Event	Information Resources Management Association International Conference - Duration: 1 Jan 2004 → …

Conference

Conference	Information Resources Management Association International Conference
Period	1/01/04 → …

Keywords

information technology
Campbelltown Hospital (N.S.W.)
hospitals
health
emergency medical services
New South Wales
Australia
health and wellbeing
quality control
Campbelltown (N.S.W.)
decision support systems
Centre for Western Sydney

Cite this

@inproceedings{053ceea4cae24d70acee949041cb0803,

title = "Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions",

abstract = "In this study we develop a Decision Support System tool to monitor and understand the characteristics of emergency departments of NSW Hospitals management systems in detail to find cost effective solutions to service quality improvements. In the past researchers have used statistical, operational research or simulation techniques in finding solutions to improve management systems. In contrast to these procedures we introduce a new way of integrating operations research and statistics to build an operations statistics model and simulate the system for forecasting. Statistical and data mining techniques are used to analvse data. Further computing and IT skills are used to create and integrate various functional modules in developing the Decision Support System tool. Finally the capabilities of the developed DSS tool will be illustrated by using several studies to improve efficiency of the Campbelltown Hospital emergency service facility.",

keywords = "information technology, Campbelltown Hospital (N.S.W.), hospitals, health, emergency medical services, New South Wales, Australia, health and wellbeing, quality control, Campbelltown (N.S.W.), decision support systems, Centre for Western Sydney",

author = "Liwan Liyanage and Shanthikumar, \{J. George\} and Cicil Fonseka and Mehdi Khosrowpour",

year = "2004",

language = "English",

isbn = "1591402794",

booktitle = "Proceedings of the 15th Information Resources Management Association International Conference, held in New Orleans, USA, 23-26 May, 2004",

publisher = "Idea Group Publishing",

note = "Information Resources Management Association International Conference ; Conference date: 01-01-2004",

}

Liyanage, L, Shanthikumar, JG, Fonseka, C & Khosrowpour, M 2004, Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions. in Proceedings of the 15th Information Resources Management Association International Conference, held in New Orleans, USA, 23-26 May, 2004. Idea Group Publishing, Information Resources Management Association International Conference, 1/01/04.

Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions. / Liyanage, Liwan; Shanthikumar, J. George; Fonseka, Cicil et al.
Proceedings of the 15th Information Resources Management Association International Conference, held in New Orleans, USA, 23-26 May, 2004. Idea Group Publishing, 2004.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions

AU - Liyanage, Liwan

AU - Shanthikumar, J. George

AU - Fonseka, Cicil

AU - Khosrowpour, Mehdi

PY - 2004

Y1 - 2004

N2 - In this study we develop a Decision Support System tool to monitor and understand the characteristics of emergency departments of NSW Hospitals management systems in detail to find cost effective solutions to service quality improvements. In the past researchers have used statistical, operational research or simulation techniques in finding solutions to improve management systems. In contrast to these procedures we introduce a new way of integrating operations research and statistics to build an operations statistics model and simulate the system for forecasting. Statistical and data mining techniques are used to analvse data. Further computing and IT skills are used to create and integrate various functional modules in developing the Decision Support System tool. Finally the capabilities of the developed DSS tool will be illustrated by using several studies to improve efficiency of the Campbelltown Hospital emergency service facility.

AB - In this study we develop a Decision Support System tool to monitor and understand the characteristics of emergency departments of NSW Hospitals management systems in detail to find cost effective solutions to service quality improvements. In the past researchers have used statistical, operational research or simulation techniques in finding solutions to improve management systems. In contrast to these procedures we introduce a new way of integrating operations research and statistics to build an operations statistics model and simulate the system for forecasting. Statistical and data mining techniques are used to analvse data. Further computing and IT skills are used to create and integrate various functional modules in developing the Decision Support System tool. Finally the capabilities of the developed DSS tool will be illustrated by using several studies to improve efficiency of the Campbelltown Hospital emergency service facility.

KW - information technology

KW - Campbelltown Hospital (N.S.W.)

KW - hospitals

KW - health

KW - emergency medical services

KW - New South Wales

KW - Australia

KW - health and wellbeing

KW - quality control

KW - Campbelltown (N.S.W.)

KW - decision support systems

KW - Centre for Western Sydney

UR - http://handle.uws.edu.au:8081/1959.7/44811

M3 - Conference Paper

SN - 1591402794

BT - Proceedings of the 15th Information Resources Management Association International Conference, held in New Orleans, USA, 23-26 May, 2004

PB - Idea Group Publishing

T2 - Information Resources Management Association International Conference

Y2 - 1 January 2004

ER -

Service quality improvements in hospitals by reducing response time : operational statistics and IT solutions

Abstract

Conference

Keywords

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