A closed queueing network approach to the analysis of patient flow in health care systems

Methods of Information in Medicine

Volumn 45, Issue 5, 2006, Pages 492-497

  Chaussalet, T J ^a   Xie, H ^a   Millard, P ^a  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Closed queueing network; Patient flow; System performance evaluation

Indexed keywords

ARTICLE; AUTOMATION; HEALTH CARE SYSTEM; HEALTH SERVICE; HOSPITAL MANAGEMENT; HUMAN; MATHEMATICAL MODEL; MEDICAL DECISION MAKING; PARAMETER; PATIENT CARE; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; UNITED KINGDOM;

EID: 33750216006     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634109     Document Type: Article

References (18)

1. Côte MJ. Understanding patient flow. Decis Line 2000; 31: 8-10.
2. Harrison GW, Millard PH. Balancing acute and long-term care: The mathematics of throughput in departments of geriatric medicine. Methods Inf Med 1991; 30: 221-8.
3. Faddy MJ, McClean SI. Markov chain modelling for geriatric patient care. Methods Inf Med 2005; 44: 369-73.
4. Harrison GW. Compartmental models of hospital patient occupancy patterns. In: Millard PH, McClean SI, editors. Modelling Hospital Resource Use: A different approach to the planning and control of health care systems. London: Royal Society of Medicine Press; 1994. pp 53-61.
5. Irvine V, McClean SI, Millard PH. Stochastic models for geriatric in-patient behaviour. IMA J Math Appl Med Biol 1994; 11: 207-16.
6. Taylor G, McClean SI, Millard PH. Continuous-time Markov models for geriatric patient behaviour. Appl Stoch Models Data Anal 1998; 13: 315-23.
7. Taylor G, McClean SI, Millard PH. Stochastic models of geriatric patient bed occupancy behaviour. J R Stat Soc [Ser A] 2000; 163: 39-48.
8. Robertazzi TG. Computer Networks and Systems: Queueing Theory and Performance Evaluation. 3rd ed. New York: Springer-Verlag; 2000.
9. Cox DR, Miller HD. The Theory of Stochastic Processes. London: Methuen; 1965.
10. Bartholomew DJ. Stochastic Models for Social Processes. 3rd ed. London: Wiley; 1982.
11. Baskett F, Chandy KM, Muntz RR, Palacios F. Open, closed and mixed networks of queues with different classes of customers. JACM 1975; 22: 248-60.
12. Bolch G, Greiner S, de Meer H, Trivedi KS. Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications. Wiley; 1998.
13. McClean SI. Continuous-time stochastic models of a multigrade population. J Appl Probab 1978; 15: 26-37.
14. Parry A. An age-related service revisited. In: Millard PH, McClean SI, editors. Go with the Flow: A system approach to healthcare planning. London: Royal Society of Medicine Press; 1996. pp 127-30.
15. Mitchell J, Kafetz K, Rossiter B. Benefits of effective hospital services for elderly people. BMJ 1987; 295: 980-3.
16. El-Darzi E, Vasilakis C, Chaussalet T. A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed-blocking in a hospital geriatric department. Health Care Manag Sci 1998; 1: 143-9.
17. McClean SI, Millard PH. A three compartment model of the patient flows in a geriatric department: a decision support approach. Health Care Manag Sci 1998; 1: 159-63.
18. Struthers JL. The elderly in hospital. BMJ 1963; 1: 470.