Length of Stay (LOS) is one metric used to assess how well healthcare procedures are performing. Given its importance, a number of studies have used sophisticated mathematical techniques. This paper examined the effect of COVID-19 on ED-LOS, which was recognized as Critical to Quality (CTQ) analysis of Penisola Hospital (Italy), using an LSS philosophy, and more specifically the DMAIC cycle. In particular, a statistical comparison between data from 2019 (before the COVID-19 pandemic) and 2020 (during the epidemic) will be made. The results of the study suggested that the number of hospital admissions in the year in which COVID became widespread is significantly reduced, especially for less urgent and therefore minor cases. The added value of this paper is the use of a Lean Six Sigma (LSS) approach to examine the effects of COVID-19 on First Aid (ED). In this way, significant results are obtained that will provide support to doctors for the management of departments, optimizing hospital flows. The study limits are time interval and sample of reduced data.

Application of Lean Six Sigma to Examine the Effects of Pandemic on Emergency Department Stay Time / Rosa, Angelo; Raiola, Eliana; Majolo, Massimo; Russo, Giuseppe; Scala, Arianna; Triassi, Maria; Marino, Marta Rosaria. - (2025), pp. 101-111. ( 1st International Conference Logistics and Lean Engineering for Advanced Healthcare Methodologies Modelling, LLEAHMM 2024 ita 2024) [10.1007/978-3-031-82923-9_10].

Application of Lean Six Sigma to Examine the Effects of Pandemic on Emergency Department Stay Time

Raiola, Eliana;Majolo, Massimo;Scala, Arianna;Triassi, Maria;Marino, Marta Rosaria
2025

Abstract

Length of Stay (LOS) is one metric used to assess how well healthcare procedures are performing. Given its importance, a number of studies have used sophisticated mathematical techniques. This paper examined the effect of COVID-19 on ED-LOS, which was recognized as Critical to Quality (CTQ) analysis of Penisola Hospital (Italy), using an LSS philosophy, and more specifically the DMAIC cycle. In particular, a statistical comparison between data from 2019 (before the COVID-19 pandemic) and 2020 (during the epidemic) will be made. The results of the study suggested that the number of hospital admissions in the year in which COVID became widespread is significantly reduced, especially for less urgent and therefore minor cases. The added value of this paper is the use of a Lean Six Sigma (LSS) approach to examine the effects of COVID-19 on First Aid (ED). In this way, significant results are obtained that will provide support to doctors for the management of departments, optimizing hospital flows. The study limits are time interval and sample of reduced data.
2025
9783031829222
9783031829239
Application of Lean Six Sigma to Examine the Effects of Pandemic on Emergency Department Stay Time / Rosa, Angelo; Raiola, Eliana; Majolo, Massimo; Russo, Giuseppe; Scala, Arianna; Triassi, Maria; Marino, Marta Rosaria. - (2025), pp. 101-111. ( 1st International Conference Logistics and Lean Engineering for Advanced Healthcare Methodologies Modelling, LLEAHMM 2024 ita 2024) [10.1007/978-3-031-82923-9_10].
File in questo prodotto:
File Dimensione Formato  
978-3-031-82923-9_10.pdf

accesso aperto

Descrizione: Articolo
Tipologia: Versione Editoriale (PDF)
Licenza: Dominio pubblico
Dimensione 271.43 kB
Formato Adobe PDF
271.43 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1011358
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact