Patients flow: A mixed-effects modelling approach to predicting discharge probabilities

被引：2

作者：

Adeyemi, Shola ^{[1
]}

Chaussalet, Thierry ^{[1
]}

Xie, Haifeng ^{[1
]}

Millard, Peter ^{[1
]}

机构：

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

来源：

TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/CBMS.2007.83

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A mixed effects approach is hereby introduced to patients flow and length of stay modelling. In, particular, a class of generalized linear mixed models has been used to demonstrate the usefulness of this approach. This modelling technique is used to capture individual patients experience during the process of care as represented by their pathways through the system. The approach could predict the probability of discharge from the system, as well as detect where the system may be going wrong.

引用

页码：725 / +

页数：2

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