Neonatal admission from emergency department

Reasons for delay in inpatient admission at an emergency department.

OBJECTIVE This study highlighted the reasons which contributed to longer stay of patients in Emergency Department (ED) who were advised admission. METHODOLOGY This study was conducted from August 4 to 11, 2004G as a retrospective review of the ED cards of patients admitted to inpatients wards of Al-Noor Specialist Hospital, Makkah, Saudi Arabia. The demographic data, doctors & nurses notes wi...

Predicting Hospital Patients' Admission to Reduce Emergency Department Boarding

Emergency department Modified Early Warning Score association with admission, admission disposition, mortality, and length of stay.

BACKGROUND Geisinger Health System implemented the Modified Early Warning Score (MEWS) in 2011 and is fully integrated to the Electronic Medical Record (EMR). Our objective was to assess whether the emergency department (ED) MEWS (auto-calculated by EMR) is associated with admission to the hospital, admission disposition, inpatient mortality, and length of stay (LOS) 4 years after its implement...

Implementing an emergency department patient admission predictive tool: insights from practice.

PURPOSE This paper aims to show that identification of expectations and software functional requirements via consultation with potential users is an integral component of the development of an emergency department patient admissions prediction tool. DESIGN/METHODOLOGY/APPROACH Thematic analysis of semi-structured interviews with 14 key health staff delivered rich data regarding existing pract...

Generalizability of a simple approach for predicting hospital admission from an emergency department.

OBJECTIVES The objective was to test the generalizability, across a range of hospital sizes and demographics, of a previously developed method for predicting and aggregating, in real time, the probabilities that emergency department (ED) patients will be admitted to a hospital inpatient unit. METHODS Logistic regression models were developed that estimate inpatient admission probabilities of ...