Modeling Phase I Postanesthesia Care Unit Patient Transport Times Among Multiple Destinations

PACU transport times differed significantly among destinations. Therefore, when >1 patient is waiting for transport, target the patient who will have the briefest transport, especially if to the phase II PACU. Approximation of transport workload based on the distribution of PACU discharges by time of day is insufficient for accurate staffing. Instead, rely on the mean and standard deviation of the workday's total transport times during the period.

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Publication Details

Journal
Anesthesia & Analgesia
Published
2025-03-04
DOI
https://doi.org/10.1213/ane.0000000000007455
Citations
2
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
5.03
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article

Modeling Phase I Postanesthesia Care Unit Patient Transport Times Among Multiple Destinations

Franklin Dexter, Paul Cover, Yasser MS El-Hattab
2 citations
Anesthesia & Analgesia
Healthcare Operations and Scheduling Optimization
5.03
article

Modeling Phase I Postanesthesia Care Unit Patient Transport Times Among Multiple Destinations

Franklin Dexter, Paul Cover, Yasser MS El-Hattab
article en
2 citations

Abstract

PACU transport times differed significantly among destinations. Therefore, when >1 patient is waiting for transport, target the patient who will have the briefest transport, especially if to the phase II PACU. Approximation of transport workload based on the distribution of PACU discharges by time of day is insufficient for accurate staffing. Instead, rely on the mean and standard deviation of the workday's total transport times during the period.

Anesthesia & Analgesia
University of Iowa (US)
Openalex Percentile: Top 7%
Healthcare Operations and Scheduling Optimization
5.03
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