Predicting diabetes and ENT emergency department admissions using hospital records

Predicting emergency department admissions.

OBJECTIVE To develop and validate models to predict emergency department (ED) presentations and hospital admissions for time and day of the year. METHODS Initial model development and validation was based on 5 years of historical data from two dissimilar hospitals, followed by subsequent validation on 27 hospitals representing 95% of the ED presentations across the state. Forecast accuracy wa...

Massive underreporting of type II Diabetes in emergency department admissions

Background The prevalence of type 2 diabetes mellitus (T2DM) has continued to increase in developed and developing countries in past decades. T2DM is the most frequent chronic disease in Denmark with a prevalence of 4 %, with an equal estimated prevalence of undiagnosed cases. T2DM is associated with several complications that can lead to acute deterioration and need of acute admittance to the ...

Emergency Department (ED), ED Observation, Day Hospital, and Hospital Admissions for Adults with Sickle Cell Disease

Introduction Use of alternative venues to manage uncomplicated vaso-occlusive crisis (VOC), such as a day hospital (DH) or ED observation unit, for patients with sickle cell anemia, may significantly reduce admission rates, which may subsequently reduce 30-day readmission rates. Methods In the context of a two-institution quality improvement project to implement best practices for management ...

Predicting Hospital Patients' Admission to Reduce Emergency Department Boarding

Predicting Emergency Department Visits

High utilizers of emergency departments account for a disproportionate number of visits, often for nonemergency conditions. This study aims to identify these high users prospectively. Routinely recorded registration data from the Indiana Public Health Emergency Surveillance System was used to predict whether patients would revisit the Emergency Department within one month, three months, and six...