| Autor: |
James Harvey Jones, Neal Fleming |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMJ Open Quality, Vol 13, Iss 4 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2399-6641 |
| DOI: |
10.1136/bmjoq-2024-002947 |
| Popis: |
Background Time and money are limited resources to pursue quality improvement (QI) goals. Computer simulation using Monte Carlo methods may help focus resources towards the most efficacious interventions to pursue.Methods This observational, cross-sectional study analysed the length of stay (LOS) for adult American Society of Anesthesiologists (ASA) 1–3 patients in the postanaesthesia care unit (PACU) at a major academic medical centre. Data were collected retrospectively from 1 April 2023 to 31 March 2024. Statistical analysis with Monte Carlo methods simulated the per cent reduction in PACU LOS following the elimination of postoperative nausea and vomiting (PONV), hypothermia (initial temperature |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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