Article

Machine Learning Approaches for Hourly Emergency Department Patient Arrival Forecasting: A Multi-Horizon Comparison with Operational Benchmarking at a Norwegian Hospital

2026-08-25

Abstract excerpt

<title>Abstract</title> <p>Background: Emergency department (ED) overcrowding is a global healthcare crisis linked to increased mortality, delayed treatment, and reduced patient satisfaction. Accurate forecasting of hourly patient arrivals enables proactive staffing and capacity decisions, yet most published work targets daily resolution and rarely benchmarks against the operational system a hospital is actually...

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Literature Corpus work: c1511b5a-bf6c-5a38-80d9-8060ac3a5bef
DOI: 10.21203/rs.3.rs-10805235/v1

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Machine Learning Approaches for Hourly Emergency Department Patient Arrival Forecasting: A Multi-Horizon Comparison with Operational Benchmarking at a Norwegian HospitalDOI 10.21203/rs.3.rs-10805235/v1Read

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