Online Supplement for “Hospital Inpatient Operations: Mathematical Models and Managerial Insights”
نویسندگان
چکیده
2 NUH Inpatient department 3 2.1 General wards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Admission sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Medical specialties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.4 Rationales for excluding certain wards . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.5 Data sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
منابع مشابه
Hospital Inpatient Operations: Mathematical Models and Managerial Insights
One key factor contributing to the emergency department (ED) overcrowding is prolonged waiting time for admission to inpatient wards, also known as ED boarding time. To gain insights into the inpatient flow management to reduce this waiting time, we study the operations in the inpatient department of a Singaporean hospital. We focus on understanding the effect of an early discharge policy, impl...
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