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Process Mining of Patient Flow in an Emergency Department: Bottlenecks, Variant Fragmentation, and Data-Driven Redesign
Emergency departments (EDs) run some of the least standardized processes in healthcare, and long stays are often attributed to demand rather than measured on data. We analyze an anonymised event log of 1{,}820 ED stays (25{,}115 events) through a full process mining pipeline: preprocessing resolves
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