Importance Inpatient overcrowding is associated with delays in care, including the deferral of
surgical care until beds are available to accommodate postoperative patients. Timely patient …

Objective Hospital capacity management depends on accurate real-time estimates of
hospital-wide discharges. Estimation by a clinician requires an excessively large amount of …

Planning for discharge and supports beyond hospital for people with disability in Australia
involves negotiation of complex care systems. The aims of this study were to examine how …

Background Acute neurological complications are some of the leading causes of death and
disability in the US The medical professionals that treat patients in this setting are tasked …

Introduction Accurate estimation of an expected discharge date (EDD) early during
hospitalization impacts clinical operations and discharge planning. Methods We conducted …

BACKGROUND Knowing the number of discharges that will occur is important for
administrators when hospital occupancy is close to or exceeds 100%. This information will …

Discharge planning is a vital tool in managing hospital capacity, which is essential for
maintaining hospital throughput for surgical postoperative admissions. Early discharge …

Introduction Deep learning may be able to assist with the prediction of neurosurgical
inpatient outcomes. The aims of this study were to investigate deep learning and transfer …

Background Oral intake in hospitalized patients is frequently below estimated targets.
Multiple physiological symptoms are proposed to impact oral intake, yet many have not been …

OBJECTIVE Reliable hospital discharge predictions still remain an unmet need. In this
study, we aimed to forecast daily hospital discharges by ward, until seven days ahead, using …