Managing Overcrowding in the Emergency Department. A Review
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
Fr. 10.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
28.08.2023
Verlag
GRINSeitenzahl
15 (Printausgabe)
Dateigröße
457 KB
Sprache
Englisch
EAN
9783346929693
Academic Paper from the year 2023 in the subject Health - Public Health, , language: English, abstract: The aim of this paper is to pinpoint the root causes, consequences, and remedies of emergency department overpopulation. Hospital and emergency department (ED) overcrowding is a serious problem that has an impact on patient treatment and results. For the purpose of improving hospital capacity and patient flow, it is imperative to comprehend the causes of congestion. An overview of the studies on overcrowding and its effects on healthcare delivery is given in this article.
These techniques can ease hospital overcrowding, improve patient flow, and decrease wait times. Additionally, recognizing and controlling hospital overpopulation has showed promise when using data analytics and predictive modeling. Hospitals can proactively allocate resources, change personnel levels, and manage patient flow to avoid congestion by studying previous data and forecasting future demand.
This approach has been shown to improve patient outcomes, reduce wait times, and enhance overall hospital efficiency. Understanding overcrowding factors, bed capacity deficits, is crucial for effective strategies. Optimizing bed capacity, patient flow, and data analytics improves hospital care quality and reduces overcrowding.
These techniques can ease hospital overcrowding, improve patient flow, and decrease wait times. Additionally, recognizing and controlling hospital overpopulation has showed promise when using data analytics and predictive modeling. Hospitals can proactively allocate resources, change personnel levels, and manage patient flow to avoid congestion by studying previous data and forecasting future demand.
This approach has been shown to improve patient outcomes, reduce wait times, and enhance overall hospital efficiency. Understanding overcrowding factors, bed capacity deficits, is crucial for effective strategies. Optimizing bed capacity, patient flow, and data analytics improves hospital care quality and reduces overcrowding.
Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung