Publication Authors: Alessandro Stefanini

Alessandro Stefanini, Lara Agostini, Rossella Onofrio, Carmela Piccolo

Recent major health shocks like the 2014-16 Ebola outbreak, the Zika outbreak, and, last but not least, the Covid-19 pandemic have strongly contributed to drawing attention to the issue of resilience of health systems, because health authorities and organizations experienced severe difficulties in managing these crises. The concept of resilience is assuming a central role […]

IN: Proceedings IFKAD 2021 – Managing Knowledge in Uncertain Times
1728-1741
Davide Aloini, Elisabetta Benevento, Alessandro Stefanini, Pierluigi Zerbino

The Blockchain potential in enabling and boosting business process innovation in the Healthcare industry is a hot topic. However, the realization of such a potential is hampered by two hindrances. First, healthcare business processes are inherently complex. This implies additional difficulties in managing and innovating them. Second, the digitalization trend has entailed relevant changes in […]

IN: Proceedings IFKAD 2021 – Managing Knowledge in Uncertain Times
1092-1111
Davide Aloini, Elisabetta Benevento, Alessandro Stefanini, Filippo Visintin

This work reports preliminary outcomes from the project LINFA, whose aim is to develop a technological, information and organizational system to support the procurement process of medicines and medical devices within healthcare organizations. Such system integrates simulation and optimization algorithms and forecasting models along with advanced logistic practices and traceability technologies by exploiting the increasing […]

IN: Proceedings IFKAD 2019 – Knowledge Ecosystems and Growth
573-584
Grazia Antonacci, Alessandro Stefanini, Pierluigi Zerbino

This manuscript investigates how Business Analytics (BA) may be practically exploited within the Knowledge Management process or activities to improve decision making. In particular, we developed a case study within a European private hospital in which we applied Process Mining – an emerging type of BA – to a six-month event dataset of the emergency […]

IN: Proceedings IFKAD 2019 – Knowledge Ecosystems and Growth
264-274