NDLI: A System for Patient Management Based Discrete-Event Simulation and Hierarchical Clustering

Content Provider	IEEE Xplore Digital Library
Author	Codrington-Virtue, A. Chaussalet, T. Millard, P. Whittlestone, P. Kelly, J.
Copyright Year	2006
Description	Author affiliation: Health & Social Care Modelling Group, Westminster Univ., London (Codrington-Virtue, A.; Chaussalet, T.; Millard, P.)
Abstract	Hospital Accident and Emergency (A&E) departments in England have a 4 hour target to treat 98% of patients from arrival to discharge, admission or transfer. Managing resources to meet the target and deliver care across the range of A&E services is a huge challenge for A&E managers. This paper develops an intelligent patient management tool to help managers and clinicians better understand patient length of stay and resources within an A&E area. The developed discrete-event simulation model gives a highlevel representation of ambulance arrivals into A&E. The model facilitates analysis in the following ways: visually interactive software showing patient length of stay in the A&E area; patient activity broken down into sub-groups so that intelligence might be gathered on how sub-groups affect the overall length of stay; understanding the number of patient treatment places and nurse resources required. To support ease of inputs for scenario and sensitivity testing, data is entered into the simulation model (SimulS) via Excel spreadsheets. The model discussed in this paper used patient length of stay grouped by A&E diagnosis codes and was limited to ambulance arrivals. The analysis was derived from A&E attendance in 2004 from an English hospital
Starting Page	800
Ending Page	804
File Size	194927
Page Count	5
File Format	PDF
ISBN	0769525171
ISSN	10637125
DOI	10.1109/CBMS.2006.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete event simulation Hospitals Resource management Medical treatment Medical services Disaster management Computational modeling Medical simulation Accidents Testing
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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