Forecasting patient admissions in a tertiary hospital, suggesting improved nursing staff scheduling and resource use.
The SARIMA model provides accurate and reliable short-term forecasts for PACU patient admissions under normal operational conditions. It serves as a valuable decision-support tool for optimizing nursing staff scheduling and improving resource allocation efficiency, demonstrating superior performance and practicality compared to a more complex LSTM model in this clinical setting.
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Xiong et al. (2026) studied this question.
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