Name
Title | ||
|---|---|---|
Interconnected DES models of emergency, outpatient, and inpatient departments of a hospital |
Abstract | ||
|---|---|---|
National Health Service (NHS) performance targets in England have put pressure on hospital management to reduce waiting times. The stochastic nature of emergency patient arrivals creates problems for capacity planning for elective patients. We present a whole hospital model which can be used at policy level to investigate cause and effect relations, such as effects of increased emergency arrival volumes on elective waiting times. A typical general hospital can be abstracted in three main units; Accident and Emergency (A&E) department, outpatient clinics, and inpatient units. In real life these units are coupled and share hospital resources. We developed three discrete event simulation (DES) models for each unit to form a whole hospital DES model. We present our models conceptually and our main discussion is on the level of detail in these three models. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/WSC.2007.4419757 | Winter Simulation Conference |
Keywords | Field | DocType |
increased emergency arrival volume,des model,whole hospital,inpatient department,elective patient,interconnected des model,models conceptually,share hospital resource,hospital management,whole hospital model,typical general hospital,emergency patient arrival,level of detail,stochastic process,discrete event simulation,health care,stochastic processes | Health care,Systems engineering,Computer science,Capacity planning,National health service,Operations management,Discrete event simulation | Conference |
ISBN | Citations | PageRank |
1-4244-1306-0 | 10 | 0.68 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Murat M. Gunal | 1 | 150 | 10.87 |
| Michael Pidd | 2 | 536 | 41.15 |