A simulation study of interventions to reduce appointment lead-time and patient no-show rate

Proceedings - Winter Simulation Conference

Volumn , Issue , 2008, Pages 1463-1468

  Giachetti, Ronald E ^a  

^a Dept of Industrial and Systems Engineering ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASUAL RELATIONSHIPS; CLINICAL CARES; LEAD-TIME; PATIENT POPULATIONS; SIMULATION STUDIES; WAITING-TIME;

HEALTH CARE;

HEALTH;

EID: 60749118340     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2008.4736225     Document Type: Conference Paper

References (19)

1. Bibi, Y., A. D. Cohen, et al. 2007. Intervention program to reduce waiting time of a dermatological visit: Managed overbooking and service centralization as effective management tools. International Journal of Dermatology 46: 830-834.
2. Coyle, R. G. 1984. A systems approach to the management of a hospital for short-term patients. Socio-Economic Planning Science 18: 219-226.
3. Dangerfield, B. C. 1999. System dynamics applications to European health care issues. Journal of the Operational Research Society 50: 345-353.
4. Galluci, G., W. Swartz, et al. 2005. Impact of the wait for an initial appointment on the rate of kept appointments at a mental health center. Psychiatric Services 56(3): 344-347.
5. Goerger, S. R., M. L. McGinnis, et al. 2005. A validation methodology for human behavior representation models. JDMS 2(1): 5-17.
6. González-Busto, B. and R. Garcia 1999. Waiting lists in Spanish public hospitals: A system dynamics approach. System Dynamics Review 15: 201-224.
7. Hopp, W. and M. Spearman. 2000. Factory Physics, McGraw-Hill.
8. Institute-of-Medicine. 1996. Primary Care: America's Health in a New Era. Washington DC, Institute of Medicine, National Academy of Sciences.
9. Kim, S. and R. Giachetti. 2006. A stochastic mathematical appointment overbooking model for healthcare providers to improve profits. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 36(6): 1211-1220.
10. Kopach, R., P. DeLaurentis, et al. 2007. Effects of clinical characteristics on successful open access scheduling. Health Care Management Science 10: 111-124.
11. Mandelbaum, A. and M. I. Reiman On pooling in queueing networks. Management Science.
12. Murdock, A., C. Rodgers, et al. 2002. Why do patients not keep their appointments? Prospective study in a gastroenterology outpatient clinic. Journal of the Royal Socity of Medicine 95: 284-286.
13. Murray, M., T. Bodenheimer, et al. 2003. Improving timely access to primary care. Journal of the American Medical Association 289(8): 1042-1046.
14. Sargent, R. G. 2004. Validation and verification of simulation models. Proceedings of the 2004 Winter Simulation Conference. Washington DC.
15. Sterman, J. 2000. Business Systems Dynamics.
16. van Ackere, A. and P. C. Smith. 1999. Towards a macro model of National Health Service waiting lists. System Dynamics Review 15: 225-252.
17. Weatherford, L. R. and S. E. Bodily. 1992. A taxonomy and research overview of perishable-asset revenue management: yield management, overbooking and pricing. Operations Research 40(5): 831-844.
18. Wolstenholme, E. F. 1993. A case study in community care using systems thinking. Journal of Operational Research Society 44: 925-934.
19. Worthington, D. J. 1987. Queueing models for hospital waiting lists. Journal of the Operational Research Society 38: 413-422.