A Markov Chain Model for Workflow Analysis in Operating Rooms

Hanyi Zheng; Qing Wang; Jingshan Li

doi:10.1109/LRA.2022.3222950

A Markov Chain Model for Workflow Analysis in Operating Rooms

Hanyi Zheng, Qing Wang, Jingshan Li^*

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Improving workflow efficacy in operating rooms (OR) is of significant importance for hospital management. Although extensive studies have been carried out in OR scheduling, efficient methods for workflow analysis are missing in current literature. To bridge this gap, in this letter, a Markov chain model is presented to evaluate the workflow performance in ORs. It is shown that such a model can provide efficient analysis with acceptable accuracy. In addition, a case study in a large public hospital in Beijing, China, illustrates the applicability of the method. © 2022 IEEE.

Original language	English
Pages (from-to)	200-207
Number of pages	8
Journal	IEEE Robotics and Automation Letters
Volume	8
Issue number	1
Online published	17 Nov 2022
DOIs	https://doi.org/10.1109/LRA.2022.3222950
Publication status	Published - Jan 2023
Externally published	Yes

Research Keywords

Length of OR stay
Markov chain
operating rooms
surgical process
workflow

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title = "A Markov Chain Model for Workflow Analysis in Operating Rooms",

abstract = "Improving workflow efficacy in operating rooms (OR) is of significant importance for hospital management. Although extensive studies have been carried out in OR scheduling, efficient methods for workflow analysis are missing in current literature. To bridge this gap, in this letter, a Markov chain model is presented to evaluate the workflow performance in ORs. It is shown that such a model can provide efficient analysis with acceptable accuracy. In addition, a case study in a large public hospital in Beijing, China, illustrates the applicability of the method. {\textcopyright} 2022 IEEE.",

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volume = "8",

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TY - JOUR

T1 - A Markov Chain Model for Workflow Analysis in Operating Rooms

AU - Zheng, Hanyi

AU - Wang, Qing

AU - Li, Jingshan

PY - 2023/1

Y1 - 2023/1

N2 - Improving workflow efficacy in operating rooms (OR) is of significant importance for hospital management. Although extensive studies have been carried out in OR scheduling, efficient methods for workflow analysis are missing in current literature. To bridge this gap, in this letter, a Markov chain model is presented to evaluate the workflow performance in ORs. It is shown that such a model can provide efficient analysis with acceptable accuracy. In addition, a case study in a large public hospital in Beijing, China, illustrates the applicability of the method. © 2022 IEEE.

AB - Improving workflow efficacy in operating rooms (OR) is of significant importance for hospital management. Although extensive studies have been carried out in OR scheduling, efficient methods for workflow analysis are missing in current literature. To bridge this gap, in this letter, a Markov chain model is presented to evaluate the workflow performance in ORs. It is shown that such a model can provide efficient analysis with acceptable accuracy. In addition, a case study in a large public hospital in Beijing, China, illustrates the applicability of the method. © 2022 IEEE.

KW - Length of OR stay

KW - Markov chain

KW - operating rooms

KW - surgical process

KW - workflow

UR - http://www.scopus.com/inward/record.url?scp=85142851393&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85142851393&origin=recordpage

U2 - 10.1109/LRA.2022.3222950

DO - 10.1109/LRA.2022.3222950

M3 - RGC 21 - Publication in refereed journal

SN - 2377-3766

VL - 8

SP - 200

EP - 207

JO - IEEE Robotics and Automation Letters

JF - IEEE Robotics and Automation Letters

IS - 1

ER -

A Markov Chain Model for Workflow Analysis in Operating Rooms

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Research Keywords

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