Simulation with Monte Carlo methods to focus quality improvement efforts on interventions with the greatest potential for reducing PACU length of stay: a cross-sectional observational study

Statistical simulation with Monte Carlo methods can help guide QI teams to the most efficacious project or intervention to pursue.

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Publication Details

Journal
BMJ Open Quality
Published
2024-11-01
DOI
https://doi.org/10.1136/bmjoq-2024-002947
Citations
1
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.40
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article

Simulation with Monte Carlo methods to focus quality improvement efforts on interventions with the greatest potential for reducing PACU length of stay: a cross-sectional observational study

Neal Fleming, James Harvey Jones
1 citations
BMJ Open Quality
Cardiac, Anesthesia and Surgical Outcomes
0.40
article

Simulation with Monte Carlo methods to focus quality improvement efforts on interventions with the greatest potential for reducing PACU length of stay: a cross-sectional observational study

Neal Fleming, James Harvey Jones
article en
1 citations

Abstract

Statistical simulation with Monte Carlo methods can help guide QI teams to the most efficacious project or intervention to pursue.

BMJ Open QualityVol. 13(4)
University of North Carolina at Chapel Hill (US), University of California, Davis (US)
Openalex Percentile: Top 31%
Cardiac, Anesthesia and Surgical Outcomes
0.40
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