ACM Home Page
Please provide us with feedback. Feedback
Towards a framework for healthcare simulation
Full text PdfPdf (244 KB)
Source Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents
Washington D.C.
SESSION: Health care: applying simulation to health care table of contents
Pages 1454-1460  
Year of Publication: 2007
ISBN:1-4244-1306-0
Authors
Tillal Eldabi  Brunel University, Uxbridge, Middx, United Kingdom
Terry Young  Brunel University, Uxbridge, Middx, United Kingdom
Sponsors
INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 19,   Downloads (12 Months): 124,   Citation Count: 3
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

The changing needs of healthcare provision around the world are forcing service designers and decision makers to adopt new tools in design and evaluation of processes. Apart from the pressure to deliver better services from constrained resources, the increasing use of metrics to monitor and manage care delivery, also means that service providers require a clearer idea of how a service improvement will perform prior to implementation. In turn, this opens up an opportunity for a much greater use of simulation and modeling techniques, provided they can be set within an appropriate framework. This paper discusses and describes a research project aimed at conducting pilot work for developing a framework that facilitates joined up thinking and enables integrative modeling. An approach to achieving such an end is described and progress to date is reported. Since this is an ongoing project, some of the latest results are presented at the conference.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
18 Weeks Delivery Programme. 2006. Available via <http://www.18weeks.nhs.uk/public/default.aspx> {accessed March 11, 2007}.
 
2
Barnett, P. I., H. M. J. McEwen, D. D. Auger, M. H. Stone, E. Ingham, and J. Fisher. 2002. Investigation of wear of knee prostheses in a new displacement/force-controlled simulator. In Proceeding of Institution of Mechanical Engineering, Part H, Journal of Engineering in Medicine 216:51--61.
 
3
Beckett P. 2000. Wargames. Aerospace International 2000:12--15.
 
4
Berkley J., S. Weghorst, H. Gladstone, G. Raugi, D. Berg, M. Ganter. 1999. Fast finite element modelling for surgical simulation. Studies in Health Technology and Informatics 62:55--61.
 
5
Berwick, D. M. 1998. Developing and testing changes in delivery of care. Annals of Internal medicine 128:651--656.
 
6
Brailsford, S. C. and P. R. Harper. 2007. Editorial of Special Issue: Operational Research in Health, Journal of the Operational Research Society, 58:141--144.
 
7
Brailsford, S. C., V. A. Lattimer, P. Tarnaras, and J. C. Turnbull. 2004. Emergency and on-demand health care: modelling a large complex system. Journal of the Operational Research Society 55:34--42.
 
8
Brailsford, S. and B. Schmidt. 2002. Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. European Journal of Operational Research 150:19--31.
 
9
Clarkson, P. J. 2005. Prospective hazard analysis: tailoring prospective methods to a healthcare context. Unpublished Tender for the Department of Health PSRP (Reference Number: PS/035). University of Cambridge, UK.
 
10
Comptroller and Auditor General. 2006. Department of Health: The National Programme for IT in the NHS. National Audit Office HC 1173.
 
11
Connecting for Health. 2005. NHS: the benefits of computer technology can only be realised when systems of work are changed. Available via <http://www.connectingforhealth.nhs.uk/worldview/protti6/> {accessed March 1, 2006}.
 
12
Connecting for Health. 2006. Available via <http://www.connectingforhealth.nhs.uk/> {accessed March 1 2006}.
 
13
Connell, N. A. D. 2001. Evaluating soft OR: some reflections on an "unsuccessful" implementation using an SSM-based approach. Journal of the Operational Research Society. 52: 150--160.
 
14
Eldabi, T, Z. Irani, and R. J. Paul. 2002. A proposed approach for modelling health-care systems for understanding. Journal of Management in Medicine. 16:170--187.
 
15
Eldabi, T., R. J. Paul, and S. J. Taylor. 2000. Simulating economic factors in adjuvant breast cancer treatment. Journal of the Operational Research Society, 51:465--475.
 
16
Eldabi, T., R. J. Paul, and T. Young. 2007. Simulation modelling in healthcare: reviewing legacies and investigating futures. Journal of the Operational Research Society 58:262--270.
 
17
Fone, D., S. Hollinghurst, M. Temple, A. Round, N. Lester, A. Weightman, K. Roberts, E. Coyle, G. Bevan, and S. Palmer. 2003. Systematic review of the use and value of computer simulation modelling in population health and healthcare delivery. Journal of Public Health Medicine 25:325--335.
 
18
Healthcare Industries Task Force. 2004. Better healthcare through partnership: a programme for action. Department of Health. Available via <http://www.advisorybodies.doh.gov.uk/hitf/index.htm> {accessed November 19, 2004}.
 
19
Heeks, R., D. Mundy, and A. Salazar. 1999. Why health care information systems succeed or fail. Available via <http://www.sed.manchester.ac.uk/idpm/publications/wp/igov/igov_wp09.htm> {accessed January 31, 2005}.
 
20
Hendy J., B. C. Reeves, N. Fulop, A. Hutchings, and C. Masseria. 2005. Challenges to implementing the national programme for information technology (NPfIT): a qualitative study. BMJ 331:331--336.
 
21
House of Commons Health Committee. 2005. The use of new medical technologies within the NHS. Fifth report of session 2004-2005, Volume II: Written and Oral Evidence, p Ev3. available via <http://www.publications.parliament.uk/pa/cm200405/cmselect/cmhealth/398/398ii.pdf> {accessed March 1, 2006}.
 
22
IBM Business Consulting Services. 2004. The safe and lean provider for the healthcare industry: clinical and business process optimization. (IBM White Paper). Available via <http://www.ibm.com/industries/healthcare/doc/content/bin/Safe_and_lean.pdf> {accessed November 10, 2004}.
 
23
Jun, J. B., S. H. Jacobson, and J. R. Swisher. 1999. Application of discrete-event Simulation in health care and clinics: A survey. Journal of the Operational Research Society 50:109--123.
 
24
Kaplan B. 2001. Evaluating informatics applications -- some alternative approaches: theory, social interactionism and call for methodological pluralism. International Journal of Medical Informatics 64:39--56.
 
25
Lehany, B. and R. J. Paul. 1996. The use of soft systems methodology in the development of a simulation of outpatient services. Journal of the Operational Research Society 47:864--870.
 
26
Lister S. and D. Charter. 2005. The doctor won't see you now. The Times, January 19 p 3. Available via <http://www.timesonline.co.uk/article/0,2-1446775,00.html> {accessed March 1, 2005}.
 
27
Littlejohns P., J. C. Wyatt, and L. Garvican. 2003. Evaluating computerised health information systems: hard lessons still to be learnt. BMJ 326:860--863.
 
28
Mumford, E. 1983. Designing participatively: A participative approach to computer systems design. Manchester Business School. UK.
 
29
NHS. 2003. Introduction to Lean Thinking. Available via <http://www.natpact.nhs.uk/demand_manag ement/wizards/big_wizard/index. php?page=/demand_management/wizards/big_wizard/Step_3/Introduction_to_lean_thinking.php> {accessed January, 19 2006}.
 
30
NHS Modernisation Agency. 2002. NHS Improvement leader's guide to process mapping, analysis and redesign. Available via <www.modern.nhs.uk/improvementguides/process> {accessed June 30, 2004}.
 
31
Office of Public Management. 2004. Available via <http://www.opm.co.uk/HSC.html> {accessed December 22, 2004).
 
32
Royston, G. 1999. Commentary: trials versus models in appraising screening programmes. British Medical Journal 318:356--361.
 
33
Royston, G., A. Dost, J. Townshend, and H. Turner. 1999. Using system dynamics to help develop and implement policies and programmes in healthcare in England. System Dynamics Review 15:293--313.
 
34
Smith, A. E., C. D. Nugent, and S. I. McClean. 2003. Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example. Artificial Intelligence in Medicine 27:1--27.
 
35
Spear, S. J. 2005. Fixing health care from the inside, today. Harvard Business Review 83:78--91.
 
36
Taylor, G. J., S. I. McClean, and P. H. Millard. 2000. Stochastic Models of Geriatric Patient Bed Occupancy Behaviour. Journal of the Royal Statistical Society (A) 163:39--48.
 
37
Wilson, M. and D. Howcroft. 2002. Reconceptualising failure: social shaping meets IS research. European Journal of Information Systems. 11:236--250.
 
38
Young, T. P. 2005. An agenda for healthcare and information simulation. Health Care Management Science. 8:189--196.
 
39
Young, T. P., S. Brailsford, C. Connell, R. Davies, P. R. Harper, J. H. Klein. 2004. Using industrial processes to improve patient care. British Medical Journal 328: 162--164.
 
40

Collaborative Colleagues:
Tillal Eldabi: colleagues
Terry Young: colleagues