COVID-19 outbreak: implications on healthcare operations

H Leite, C Lindsay, M Kumar - The TQM Journal, 2020 - emerald.com
Purpose The COVID-19 pandemic is considered a major disruptive event of this decade,
raising unforeseen socio-economic implications worldwide. This novel virus has increased …

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 …

Lean Six Sigma competitiveness for micro, small and medium enterprises (MSME): an action research in the Indian context

S Bhat, EV Gijo, AM Rego, VS Bhat - The TQM Journal, 2021 - emerald.com
Purpose The aim of the article is to ascertain the challenges, lessons learned and
managerial implications in the deployment of Lean Six Sigma (LSS) competitiveness to …

Linear discriminant analysis and principal component analysis to predict coronary artery disease

C Ricciardi, AS Valente, K Edmund… - Health informatics …, 2020 - journals.sagepub.com
Coronary artery disease is one of the most prevalent chronic pathologies in the modern
world, leading to the deaths of thousands of people, both in the United States and in Europe …

[PDF][PDF] A Six Sigma DMAIC methodology as a support tool for Health Technology Assessment of two antibiotics

AM Ponsiglione, C Ricciardi, G Improta… - Mathematical …, 2021 - iris.unina.it
Health Technology Assessment (HTA) and Six Sigma (SS) have largely proved their
reliability in the healthcare context. The former focuses on the assessment of health …

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 …

Combining simulation models and machine learning in healthcare management: strategies and applications

AM Ponsiglione, P Zaffino, C Ricciardi… - Progress in …, 2024 - iopscience.iop.org
Simulation models and artificial intelligence (AI) are largely used to address healthcare and
biomedical engineering problems. Both approaches showed promising results in the …

Measuring operational efficiency of isolation hospitals during COVID-19 pandemic using data envelopment analysis: a case of Egypt

MA Kamel, MES Mousa - Benchmarking: An International Journal, 2021 - emerald.com
Purpose This study used Data Envelopment Analysis (DEA) to measure and evaluate the
operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as …

Evaluation of medical training courses satisfaction: qualitative analysis and analytic hierarchy process

G Improta, AM Ponsiglione, G Parente… - 8th European Medical …, 2021 - Springer
The implementation of the training courses is remarkable in the field of education, in order to
analyze and observe individual's perception of the experience. Aim of this work is the …

An innovative business model for a multi-echelon supply chain inventory management pattern

G Cesarelli, A Scala, D Vecchione… - Journal of Physics …, 2021 - iopscience.iop.org
Nowadays, companies are experimenting novel organizational solutions to efficiently
operate in uncertain and highly dynamic scenarios. As a potential solution, this paper …