Modeling and Analysis of Ward Patient Rescue Process on the Hospital Floor

Xiaolei Xie; Jingshan Li; Colleen H. Swartz; Yue Dong; Paul DePriest

doi:10.1109/TASE.2014.2365292

Modeling and Analysis of Ward Patient Rescue Process on the Hospital Floor

Xiaolei Xie, Jingshan Li, Colleen H. Swartz, Yue Dong, Paul DePriest

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

13 Citations (Scopus)

Abstract

On the hospital floor, prompt detection and appropriate treatment of clinical deterioration of ward patients are essential for successful rescue. In this paper, a continuous time Markov chain model is presented to describe the ward patient status and analyze the patient rescue processes, which are characterized by the transitions between different patient states, such as risk, non-risk, intervention by care providers (nurse, physician, rapid response team), or elevation to intensive care, etc. Closed formulas to calculate the probability of the patient in different states are developed for single patient case. A system-theoretic method, referred to as shared resource iteration (SRI), is developed to study the multiple patients scenario. It is justified that such an iterative method is convergent and results in a high accuracy in estimation of patient state probabilities through numerical experiments. Moreover, monotonic properties have been investigated to provide guidance for continuous improvement. © 2004-2012 IEEE.

Original language	English
Article number	6966798
Pages (from-to)	514-528
Journal	IEEE Transactions on Automation Science and Engineering
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/TASE.2014.2365292
Publication status	Published - 1 Apr 2016
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This paper was recommended for publication by Associate Editor M. Dotoli and Editor Y. Sun upon evaluation of the reviewers' comments. This work is supported in part by the National Science Foundation (NSF) under Grant CMMI-1233807 and Grant 1234636.

Research Keywords

Clinical deterioration
continuous time Markov chain
patient safety
shared resource iteration (SRI)
ward patient rescue (WPR)

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abstract = "On the hospital floor, prompt detection and appropriate treatment of clinical deterioration of ward patients are essential for successful rescue. In this paper, a continuous time Markov chain model is presented to describe the ward patient status and analyze the patient rescue processes, which are characterized by the transitions between different patient states, such as risk, non-risk, intervention by care providers (nurse, physician, rapid response team), or elevation to intensive care, etc. Closed formulas to calculate the probability of the patient in different states are developed for single patient case. A system-theoretic method, referred to as shared resource iteration (SRI), is developed to study the multiple patients scenario. It is justified that such an iterative method is convergent and results in a high accuracy in estimation of patient state probabilities through numerical experiments. Moreover, monotonic properties have been investigated to provide guidance for continuous improvement. {\textcopyright} 2004-2012 IEEE.",

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AU - Swartz, Colleen H.

AU - Dong, Yue

AU - DePriest, Paul

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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AB - On the hospital floor, prompt detection and appropriate treatment of clinical deterioration of ward patients are essential for successful rescue. In this paper, a continuous time Markov chain model is presented to describe the ward patient status and analyze the patient rescue processes, which are characterized by the transitions between different patient states, such as risk, non-risk, intervention by care providers (nurse, physician, rapid response team), or elevation to intensive care, etc. Closed formulas to calculate the probability of the patient in different states are developed for single patient case. A system-theoretic method, referred to as shared resource iteration (SRI), is developed to study the multiple patients scenario. It is justified that such an iterative method is convergent and results in a high accuracy in estimation of patient state probabilities through numerical experiments. Moreover, monotonic properties have been investigated to provide guidance for continuous improvement. © 2004-2012 IEEE.

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KW - patient safety

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Modeling and Analysis of Ward Patient Rescue Process on the Hospital Floor

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