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2008 21st IEEE International Symposium on Computer-Based Medical Systems
A Random Effects Sensitivity Analysis for Patient Pathways Model
June 17-June 19
ISBN: 978-0-7695-3165-6
ASCII Text
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Shola Adeyemi, Thierry J. Chaussalet, "A Random Effects Sensitivity Analysis for Patient Pathways Model," Computer-Based Medical Systems, IEEE Symposium on, pp. 536-538, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008.
 
 
BibTex
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@article{ 10.1109/CBMS.2008.49,
author = {Shola Adeyemi and Thierry J. Chaussalet},
title = {A Random Effects Sensitivity Analysis for Patient Pathways Model},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2008},
issn = {1063-7125},
pages = {536-538},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.49},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Random Effects Sensitivity Analysis for Patient Pathways Model
SN - 1063-7125
SP536
EP538
A1 - Shola Adeyemi,
A1 - Thierry J. Chaussalet,
PY - 2008
KW - patient flow
KW - pathways
KW - random effects
KW - neonatal
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
In this paper, we present a random effects approach to modelling of patient pathways with an application to the neonatal unit of a large metropolitan hospital. This approach could be used to identify pathways such as those resulting in high probabilities of death/survival, and to estimate cost of care or length of stay. Patient-specific discharge probabilities could also be predicted as a function of the random effect. We also investigate the sensitivity of our modelling results to random effects distribution assumptions.
Index Terms:
patient flow, pathways, random effects, neonatal
Citation:
Shola Adeyemi, Thierry J. Chaussalet, "A Random Effects Sensitivity Analysis for Patient Pathways Model," cbms, pp.536-538, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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