Using queuing theory to analyse the Government's 4-h completion time target in Accident and Emergency departments

Health Care Management Science

Volumn 11, Issue 1, 2008, Pages 11-21

  Mayhew, L ^a   Smith, D ^a  

^a CITY UNIVERSITY   (United Kingdom)

Author keywords

Accident and emergency departments; Government targets; Queuing theory

Indexed keywords

ARTICLE; EMERGENCY HEALTH SERVICE; HEALTH CARE POLICY; HUMAN; ORGANIZATION AND MANAGEMENT; PUBLIC HEALTH; STANDARD; STATISTICS; SYSTEMS THEORY; TASK PERFORMANCE; UNITED KINGDOM;

EFFICIENCY, ORGANIZATIONAL; EMERGENCY SERVICE, HOSPITAL; GREAT BRITAIN; HEALTH POLICY; HUMANS; NATIONAL HEALTH PROGRAMS; SYSTEMS THEORY; TIME AND MOTION STUDIES;

EID: 38349094736     PISSN: 13869620     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10729-007-9033-8     Document Type: Article

References (18)

1. Aharonson-Daniel L, Fung H, Hedley AJ (1996) Time studies in A&E departments-a useful tool for management. J Manage Med 10(3):15-22
2. Barlow GL (2002) Auditing hospital queuing. Manag Audit J 17(7):397-403
3. Brailsford SC, Lattimer VA, Tamaras P, Turnbull JC (2004) Emergency and on demand health care: modelling a large and complex system. J Oper Res Soc 55:34-42
4. Bronson R, Naadimuthu G (1997) Operations Research, 2nd edition, MacGraw-Hill, New York London
5. Bučar T, Nagode M, Fajdiga M (2004) Reliability approximation using finite Weibull mixture distributions. Reliab Eng Syst Saf 84:241-251
6. Coates TJ, Michalis S (2001) Mathematical modelling of patient flow through an accident and emergency department. Emerg Med J 18:190-192
7. Fletcher A, Halsall D, Huxham S, Worthington D (2006) The DH accident and emergency department model-a national generic model used locally. Lancaster University Management School Working Paper 2006/042. Lancaster, UK
8. Gorunescu F, McClean SI, Millard PH (2002) A queuing model for bed occupancy management and planning of hospital. J Oper Res Soc 53:19-24
9. Jun J, Jacobson S, Swisher J (1999) Applications of discrete-event simulation in health care clinics: a survey. J Oper Res Soc 50:109-123
10. Lane DC, Monefeldt C, Rosenhead JV (2000) Looking in the wrong place for health care improvements: a system dynamics study of an accident and emergency department. J Oper Res Soc 51(5):518-531(14)
11. Mayhew L (1987) Resource inputs and performance outputs in social security. J Oper Res Soc 38(10):913-928
12. Mayhew L, Carney Jones E (2003) Evaluating a New Approach for Improving Care in an Accident and Emergency Department. Cass Business School (60 pp)
13. Mayhew L, Smith D (2006) Using Queuing Theory to Analyse Completion Times in Accident and Emergency Departments in the Light of the Government 4-hour Target. Actuarial Research Paper 177, City University
14. Ross S (1997) Introduction to Probability Models, 6th Edition. Academic Press, San Diego US
15. Saaty TL, Alexander JM (1981) Thinking with Models. Pergamon Press, Oxford
16. Siddharthan K, Jones WJ, Johnson JA (1996) A priority queuing model to reduce waiting times in emergency care. Int J Health Care Qual 9(5):10-16
17. Taha H (ed) (2007) Operations research-an introduction. MacMillan, London, New York
18. Van Vuuren M, Adan I, Resing-Sassen S (2005) Perfomance analysis of multi-server tandem queues with finite buffers and blocking. OR Spectrum 27:315-338