Lean six sigma approach for reducing length of hospital stay for patients with femur fracture in a university hospital

A Scala, AM Ponsiglione, I Loperto… - International Journal of …, 2021 - mdpi.com
Surgical intervention within 48 h of hospital admission is the gold standard procedure for the
management of elderly patients with femur fractures, since the increase in preoperative …

Machine learning and regression analysis to model the length of hospital stay in patients with femur fracture

C Ricciardi, AM Ponsiglione, A Scala, A Borrelli… - Bioengineering, 2022 - mdpi.com
Fractures of the femur are a frequent problem in elderly people, and it has been
demonstrated that treating them with a diagnostic–therapeutic–assistance path within 48 h …

Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi

A Scala, A Borrelli, G Improta - Scientific Reports, 2022 - nature.com
The length of stay (LOS) in hospital is one of the main parameters for evaluating the
management of a health facility, of its departments in relation to the different specializations …

Implementing fast track surgery in hip and knee arthroplasty using the lean Six Sigma methodology

I Latessa, A Fiorillo, I Picone, G Balato, TA Trunfio… - The TQM …, 2021 - emerald.com
Purpose One of the biggest challenges in the health sector is that of costs compared to
economic resources and the quality of services. Hospitals register a progressive increase in …

Application of the Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy at the San Giovanni di Dio and Ruggi d' …

TA Trunfio, A Scala, A Borrelli, M Sparano… - Proceedings of the 5th …, 2021 - dl.acm.org
Cholecystectomy can be performed laparoscopically or laparotomically, but in
uncomplicated cases, laparoscopic cholecystectomy is considered the standard procedure …

Does ownership influence ESG disclosure scores?

M Doshi, R Jain, D Sharma, D Mukherjee… - Research in International …, 2024 - Elsevier
The present article investigates whether the different ownership structures in the non-finance
sector impact the Environmental, Social, and Governance scores (ESG). Panel data …

Predicting the length of stay of cardiac patients based on pre-operative variables—bayesian models vs. machine learning models

I Abdurrab, T Mahmood, S Sheikh, S Aijaz, M Kashif… - Healthcare, 2024 - mdpi.com
Length of stay (LoS) prediction is deemed important for a medical institution's operational
and logistical efficiency. Sound estimates of a patient's stay increase clinical preparedness …

The classification algorithms to support the management of the patient with femur fracture

A Scala, TA Trunfio, G Improta - BMC Medical Research Methodology, 2024 - Springer
Effectiveness in health care is a specific characteristic of each intervention and outcome
evaluated. Especially with regard to surgical interventions, organization, structure and …

Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model

A Scala, TA Trunfio, A Borrelli, G Ferrucci… - Proceedings of the 5th …, 2021 - dl.acm.org
The need for containing and rationalizing the health expenditure has influenced the
management of various healthcare processes. As far as cholecystectomy interventions, the …

Assessment of proteinuria level in nephrology patients using a machine learning approach

A Scala, I Loperto, R Carrano, S Federico… - Proceedings of the 5th …, 2021 - dl.acm.org
Proteinuria represents an increase in the urinary excretion of proteins. It could also follow
kidney transplantation and affects more than 40% of kidney transplant patients per year. It …