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An interactive framework for developing simulation models of hospital accident and emergency services

Book chapter

Codrington-Virtue, A., Whittlestone, P., Kelly, J. and Chaussalet, T.J. 2005. An interactive framework for developing simulation models of hospital accident and emergency services. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

Developing an application of an accident and emergency patient simulation modelling using an interactive framework

Book chapter

Codrington-Virtue, A., Chaussalet, T.J., Whittlestone, P. and Kelly, J. 2007. Developing an application of an accident and emergency patient simulation modelling using an interactive framework. in: Brailsford, S. and Harper, P.R. (ed.) Operational research for health policy: making better decisions: proceedings of the 31st Annual Conference of the European Working Group on Operational Research Applied to Health Services Oxford ; New York Peter Lang. pp. 61-76

Balancing the NHS balanced scorecard!

Journal article

Patel, B., Chaussalet, T.J. and Millard, P.H. 2008. Balancing the NHS balanced scorecard! European Journal of Operational Research. 185 (3), pp. 905-914. https://doi.org/10.1016/j.ejor.2006.02.056

A systematic approach in defining readmission

Book chapter

Demir, E. and Chaussalet, T.J. 2009. A systematic approach in defining readmission. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

The analyses of individual patient pathways: investigating regional variation in COPD readmissions

Book chapter

Adeyemi, S., Chaussalet, T.J., Xie, H. and Asaduzzaman, M. 2009. The analyses of individual patient pathways: investigating regional variation in COPD readmissions. in: Sakalauskas, L., Skiadas, C. and Zavadskas, E.K. (ed.) Proceedings of the 13th International Conference "Applied Stochastic Models and Data Analysis", ASMDA 2009, 30 June – 3 July 2009, Vilnius, Lithuania ASMDA. pp. 316-319

Modelling risk of readmission with phase-type distribution and transition models

Journal article

Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2009. Modelling risk of readmission with phase-type distribution and transition models. IMA Journal of Management Mathematics. 20 (4), pp. 357-367. https://doi.org/10.1093/imaman/dpn032

Random effects models for operational patient pathways

Article

Adeyemi, S., Chaussalet, T.J., Xie, H. and Assaduzzman, M. 2010. Random effects models for operational patient pathways. Journal of Applied Statistics. 37 (4), pp. 691-701. https://doi.org/10.1080/02664760902873951

A loss network model with overflow for capacity planning of a neonatal unit

Article

Asaduzzaman, M., Chaussalet, T.J. and Robertson, N.J. 2010. A loss network model with overflow for capacity planning of a neonatal unit. Annals of Operations Research. 178 (1), pp. 67-76. https://doi.org/10.1007/s10479-009-0548-x

An overflow loss network model for capacity planning of a perinatal network

Article

Asaduzzaman, M. and Chaussalet, T.J. 2011. An overflow loss network model for capacity planning of a perinatal network. Journal of the Royal Statistical Society: Series A. 174 (2), pp. 403-417. https://doi.org/10.1111/j.1467-985X.2010.00669.x

Capturing the readmission process: focus on time window

Article

Demir, E. and Chaussalet, T.J. 2011. Capturing the readmission process: focus on time window. Journal of Applied Statistics. 38 (5), pp. 951-960. https://doi.org/10.1080/02664761003692415

Forecasting long-term care demand under incomplete information: a grey modelling approach

Book chapter

Worrall, P. and Chaussalet, T.J. 2012. Forecasting long-term care demand under incomplete information: a grey modelling approach. in: 2012 25th International symposium on computer-based medical systems (CBMS), 20-22 June 2012, Rome, Italy IEEE .

Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care

Conference paper

Worrall, P. and Chaussalet, T.J. 2012. Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Using data mining and simulation for health system understanding and capacity planning: an application to urgent care

Conference paper

Tadjer, M., Chaussalet, T.J., Fouladinajed, F. and Chahed, S. 2012. Using data mining and simulation for health system understanding and capacity planning: an application to urgent care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London

Conference paper

Islam, M., Chaussalet, T.J., Ozkan, N. and Demir, E. 2012. Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Capacity planning of a perinatal network with generalised loss network model with overflow

Journal article

Asaduzzaman, M. and Chaussalet, T.J. 2014. Capacity planning of a perinatal network with generalised loss network model with overflow. European Journal of Operational Research. 232 (1), pp. 178-185. https://doi.org/10.1016/j.ejor.2013.06.037

An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods.

Journal article

Nguyen, J.M., Six, P., Chaussalet, T.J., Antonioli, D., Lombrail, P. and Le Beux, P. 2007. An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods. Methods of Information in Medicine. 46 (4), pp. 399-405. https://doi.org/10.1160/me0385

Toward simulating the english neonatal unit

Conference paper

Dalton, S., Chahed, S. and Chaussalet, T.J. 2015. Toward simulating the english neonatal unit. 27th European Conference on Operational Reasearch (EURO). University of Strathclyde, Glasgow 13 Jul 2015

A continuous time Markov model for the length of stay of elderly people in institutional long-term care

Article

Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A continuous time Markov model for the length of stay of elderly people in institutional long-term care. Journal of the Royal Statistical Society: Series A. 168 (1), pp. 51-61. https://doi.org/10.1111/j.1467-985X.2004.00335.x

A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level

Journal article

Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. Journal of the Operational Research Society. 56 (2), pp. 144-152. https://doi.org/10.1057/palgrave.jors.2601892

On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care

Article

Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care. IMA Journal of Management Mathematics. 16 (3), pp. 255-264. https://doi.org/10.1093/imaman/dpi021