Modelling nationwide hospital length of stay: opening the black box

Vasilakis, C. and Marshall, A.H. 2005. Modelling nationwide hospital length of stay: opening the black box. Journal of the Operational Research Society. 56 (7), pp. 862-869. https://doi.org/10.1057/palgrave.jors.2601872

TitleModelling nationwide hospital length of stay: opening the black box
AuthorsVasilakis, C. and Marshall, A.H.
Abstract

Hospital length of stay is considered to be a reliable and valid proxy for measuring the consumption of hospital resources. Average length of stay, however, albeit easy to quantify and calculate, does not suitably reflect the nature of such underlying distributions and may therefore mask the effects that the different streams of patients have on the system. This paper uses routinely collected and readily available nationwide data on stroke-related patients, aged 65 years and over, who were discharged from English hospitals over a 1-year period. This will be the basis for a running example illustrating the alternative methods of analysis and models of patients' length of stay. The methods include statistical methods: survival analysis, mixed exponential and phase-type distributions; and decision modelling techniques: compartmental and simulation models. The paper concludes by summarizing these various modelling techniques and by highlighting the similarity of the estimated parameters of patient flow as calculated by the phase-type distribution and compartmental modelling techniques.

JournalJournal of the Operational Research Society
Journal citation56 (7), pp. 862-869
ISSN0160-5682
YearJul 2005
PublisherPalgrave Macmillan
Digital Object Identifier (DOI)https://doi.org/10.1057/palgrave.jors.2601872
Web address (URL)http://www.palgrave-journals.com/jors/journal/v56/n7/abs/2601872a.html
Publication dates
PublishedJul 2005

Related outputs

Editorial: IMA Health 2010
Vasilakis, C., Chaussalet, T.J. and Baker, R.D. 2011. Editorial: IMA Health 2010. Health Care Management Science. 14 (3), pp. 213-214. https://doi.org/10.1007/s10729-011-9174-7

Length of stay-based clustering methods for patient grouping
El-Darzi, E., Abbi, R., Vasilakis, C., Gorunescu, F., Gorunescu, M. and Millard, P.H. 2009. Length of stay-based clustering methods for patient grouping. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Berlin Heidelberg Springer.

A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals
Vasilakis, C., El-Darzi, E. and Chountas, P. 2008. A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Berlin Heidelberg Springer.

Length of stay based grouping and classification methodology for modelling patient flow
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Length of stay based grouping and classification methodology for modelling patient flow. Journal of Operations and Logisitics. 2 (2), pp. 1-9.

A Gaussian mixture model approach to grouping patients according to their hospital length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. A Gaussian mixture model approach to grouping patients according to their hospital length of stay. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS '08) IEEE . pp. 524-529

Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

Applying data mining algorithms to inpatient dataset with missing values
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2008. Applying data mining algorithms to inpatient dataset with missing values. Journal of Enterprise Information Management. 21 (1), pp. 81-92. https://doi.org/10.1108/17410390810842273

A simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled lists
Vasilakis, C., Sobolev, B.G., Kuramoto, L. and Levy, A.R. 2007. A simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled lists. Journal of the Operational Research Society. 58 (2), pp. 202-211. https://doi.org/10.1057/palgrave.jors.2602235

Generalized Net Model for Outpatient Care in Bulgaria
Tasseva, V., Peneva, D., Atanassov, K.T., El-Darzi, E., Chountas, P. and Vasilakis, C. 2007. Generalized Net Model for Outpatient Care in Bulgaria. in: Proc of Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS '07. IEEE . pp. 701

An OLAP-enabled software environment for modelling patient flow
Vasilakis, C., El-Darzi, E. and Chountas, P. 2006. An OLAP-enabled software environment for modelling patient flow. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 261-266

Comparing two methods of scheduling outpatient clinic appointments using simulation experiments
Vasilakis, C. and Kuramoto, L. 2005. Comparing two methods of scheduling outpatient clinic appointments using simulation experiments. Clinical and Investigative Medicine. 28 (6), pp. 368-370.

Length of stay-based patient flow models: recent developments and future directions
Marshall, A.H., Vasilakis, C. and El-Darzi, E. 2005. Length of stay-based patient flow models: recent developments and future directions. Health Care Management Science. 8 (3), pp. 213-220. https://doi.org/10.1007/s10729-005-2012-z

A feature selection procedure and its application in health care
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Zhu, J. 2005. A feature selection procedure and its application in health care. Craiova Medical Journal.

An analysis of missing data treatment methods and their application to health care dataset
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2005. An analysis of missing data treatment methods and their application to health care dataset. in: Li, X., Wang, S. and Dong, Z.Y. (ed.) Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005: proceedings Berlin, Germany Springer.

Addressing bed costs for the elderly: a new methodology for modelling patient outcomes and length of stay
Marshall, A.H., McClean, S.I. and Millard, P.H. 2004. Addressing bed costs for the elderly: a new methodology for modelling patient outcomes and length of stay. Health Care Management Science. 7 (1), pp. 27-33. https://doi.org/10.1023/B:HCMS.0000005395.77308.d1

A data warehouse environment for storing and analyzing simulation output data
Vasilakis, C., El-Darzi, E. and Chountas, P. 2004. A data warehouse environment for storing and analyzing simulation output data. in: Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (ed.) Proceedings of the 2004 Winter Simulation Conference USA IEEE .

Comparative analysis of data mining algorithms for predicting inpatient length of stay
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Lei, L. 2004. Comparative analysis of data mining algorithms for predicting inpatient length of stay. Pacific Asia Conference on Information Systems 2004. Bangkok, Thailand 07-10 Jul 2005

On uncertainty and data-warehouse design
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K.T. and Kodogiannis, V. 2004. On uncertainty and data-warehouse design. in: Yakhno, T. (ed.) Advances in Information Systems: Third International Conference, ADVIS 2004, Izmir, Turkey, October 20-22, 2004: proceedings Berlin, Germany Springer.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C., El-Darzi, E., Tseng, A., Kolev, B., Kodogiannis, V. and Georgiev, P. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes in Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C. and El-Darzi, E. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes on Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.

Data cube modelling and OLAP algebra for hospital length of stay analysis
Vasilakis, C., El-Darzi, E. and Chountas, P. 2003. Data cube modelling and OLAP algebra for hospital length of stay analysis. Craiova Medicala Journal: Proceedings of The 1st MEDINF International Conference on Medical Informatics & Engineering. 5 (3), pp. 509-512.

An overview of modelling patient behaviour in health care systems
Marshall, A.H. and Vasilakis, C. 2003. An overview of modelling patient behaviour in health care systems. in: Taylor, J. (ed.) Keynote Papers Birmingham, UK Operational Research Society.

Data warehouses-TOLAP-decision making
Chountas, P., Vasilakis, C., El-Darzi, E., Petrounias, I. and Tseng, A. 2003. Data warehouses-TOLAP-decision making. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 USA IEEE .

Modelling patient duration of stay to facilitate resource management of geriatric hospitals
Marshall, A.H., McClean, S.I., Shapcott, C.M. and Millard, P.H. 2002. Modelling patient duration of stay to facilitate resource management of geriatric hospitals. Health Care Management Science. 5 (4), pp. 313-319. https://doi.org/10.1023/A:1020394525938

A simulation study of the winter bed crisis
Vasilakis, C. and El-Darzi, E. 2001. A simulation study of the winter bed crisis. Health Care Management Science. 4 (1), pp. 31-36. https://doi.org/10.1023/A:1009649615548

Developing a Bayesian belief network for the management of geriatric hospital care
Marshall, A.H., McClean, S.I., Shapcott, C.M., Hastie, I.R. and Millard, P.H. 2001. Developing a Bayesian belief network for the management of geriatric hospital care. Health Care Management Science. 4 (1), pp. 25-30. https://doi.org/10.1023/A:1009645531478

Permalink - https://westminsterresearch.westminster.ac.uk/item/92965/modelling-nationwide-hospital-length-of-stay-opening-the-black-box


Share this

Usage statistics

142 total views
0 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.