Modeling and Analysis of Operating Room Workflow in a Tertiary A Hospital

Zheng, Hanyi; Wang, Qing; Shen, Jiyong; Kong, Yiying; Li, Jingshan

doi:10.1109/lra.2022.3180040

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…Zheng et al. employed DES to model operating theatres in a tertiary hospital with 21 theatres 21 . Only elective surgeries were included and nonelective cases were treated as elective ones in their model.…”

Section: Introductionmentioning

confidence: 99%

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A discrete event simulation for improving operating theatre efficiency

Hassanzadeh

Boyle

Khanna

et al. 2022

Health Planning & Management

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Background: Increasing demand in healthcare services has posed excessive burden on healthcare professionals and hospitals with finite capacity. Operating theatres are critical resources within hospitals that can become bottlenecks in patient flow during high demand conditions. There are substantial costs associated with running operating theatres that include keeping professional staff ready, maintaining operating theatres and equipment, environmental services and cleaning of operating theatres and recovery rooms, and these costs can increase if theatres are not used efficiently. In addition to cost, operating theatre inefficiency can result in surgery cancelations and delays, and eventually, poor patient outcomes, which can be exacerbated under the increase in demand. Methods:The allocation of surgeries to operating theatres is explored using a simulation model for patients admitted to inpatient beds and sent for surgery. We proposed a discrete event simulation (DES) to model incoming flow to operating theatres of a major metropolitan hospital. We assessed how changing the configuration of surgery at the target hospital affects Key Performance Indicators relating to theatre efficiency. In particular, the model was used to assess impacts of six different scenarios by defining new/hypothetical theatre case-mix, opening and closing times of theatres,

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Section: Introductionmentioning

confidence: 99%

“…Zheng et al employed DES to model operating theatres in a tertiary hospital with 21 theatres. 21 Only elective surgeries were included and nonelective cases were treated as elective ones in their model. The tested scenarios were around increase in demand, availability of anaesthetists, and closing under-utilised operating theatres.…”

Section: Introductionmentioning

confidence: 99%