title: State of the art:  emergency department observation units.
abstract: Hospitals and emergency departments face the challenges of escalating healthcare costs, mismatched resource utilization, concern over avoidable admissions, and hospital and emergency department overcrowding. One approach that has been used by hospitals to address these issues is the use of emergency department observation units. Research in this setting has increased in recent years, leading to a better understanding of the role of these units and their unique benefits. These benefits have been proven for health systems as a whole and for several acute conditions including chest pain, asthma, syncope, transient ischemic attack, atrial fibrillation, heart failure, abdominal pain, and more. Benefits include a decrease in diagnostic uncertainty, lower cost and resource utilization, improved patient satisfaction, and clinical outcomes that are comparable to admitted patients. As more hospitals begin to use observation units, there is a need for further education and research in how to optimize the use of emergency department observation units. The purpose of this article is to provide a general overview of observation units, including advancements and research in this field.
authors: Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA. maross@emory.edu
authors: Michael A
authors: MA
authors: Ross
authors: Taruna
authors: T
authors: Aurora
authors: Louis
authors: L
authors: Graff
authors: Pawan
authors: P
authors: Suri
authors: Rachel
authors: R
authors: O'Malley
authors: Aderonke
authors: A
authors: Ojo
authors: Steve
authors: S
authors: Bohan
authors: Carol
authors: C
authors: Clark
mesh_terms: D002985:Clinical Protocols; D004635:Emergency Medicine / Q000379:methods*; D004636:Emergency Service, Hospital; D017721:Hospital Costs; D006757:Hospital Units; D006760:Hospitalization / Q000191:economics; D006801:Humans; D007902:Length of Stay / Q000191:economics; D010343:Patient Admission / Q000191:economics; D010359:Patient Readmission / Q000191:economics / Q000706:statistics & numerical data; D013997:Time Factors