A random effects sensitivity analysis for patient pathways model

被引：3

作者：

Adeyemi, Shola ^{[1
]}

Chaussalet, Thierry J. ^{[1
]}

机构：

[1] Univ Westminster, Hlth & Social Care Modelling Grp, London W1R 8AL, England

来源：

PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS | 2008年

关键词：

D O I：

10.1109/CBMS.2008.49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：536 / 538

页数：3

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