Optimizing PACU nursing resource allocation through SARIMA-based patient volume forecasting: a case study from a tertiary hospital in China (2020–2021)
Abstract Objective To develop and validate a Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model for forecasting daily patient admissions to the Post-Anesthesia Care Unit (PACU), and to evaluate its potential for optimizing nursing staff allocation. Method Daily admission data from 16,...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BMC
2026-01-01
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| Serier: | BMC Health Services Research |
| Fag: | |
| Online adgang: | https://doi.org/10.1186/s12913-025-13517-8 |
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