Publication Authors: Elisabetta Benevento

Methods and Business Process Analytics in Emergency Departments: A Systematic Literature Review
Marco Berdini, Davide Aloini, Elisabetta Benevento, Alessandro Stefanini Predictive
Emergency departments (EDs) are vital components of healthcare systems. However, they are under increasing pressure due to limited resources, demographic changes, and growing demand for healthcare services. Improving the operational efficiency of EDs is crucial for managing the pressures they face. Predictive modeling, supported by advances in hospital information systems and the development of artificial [...]
IN: Proceedings IFKAD 2024 - Translating Knowledge into Innovation Dynamics
PP: 2537-2555
See all publications by each of the following authors: Alessandro Stefanini Predictive, Davide Aloini, Elisabetta Benevento, Marco Berdini
Blockchain-Driven Process Innovation in Healthcare Ecosystems: a Business Process Management Capabilities Analysis
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
PP: 1092-1111
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Elisabetta Benevento, Pierluigi Zerbino
Exploiting administrative data for enhancing “LAST MILE” logistic in hospitals
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
PP: 573-584
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Elisabetta Benevento, Filippo Visintin
Using Analytics to predict patient’s Length of Stay in Emergency Department
Nunzia Squicciarini, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, Valeria Mininno
In recent years, the widespread adoption of Hospital Information Systems is enabling hospitals to measure and record an ever-growing volume and variety of patient and process-related data. In such context, analytics are emerging as suitable tools and methods for extracting and analyzing such data and for providing useful insights to assist decision-making. The Emergency Department [...]
IN: Proceedings IFKAD 2019 - Knowledge Ecosystems and Growth
PP: 275-284
See all publications by each of the following authors: Davide Aloini, Elisabetta Benevento, Nunzia Squicciarini, Riccardo Dulmin, Valeria Mininno
Improving the Accuracy of Waiting Time Prediction in Emergency Departments
Elisabetta Benevento, Davide Aloini, Riccardo Dulmin, Valeria Mininno
This work aims to improve the accuracy of the waiting times prediction in ED, by incorporating queue variables enabled by process mining that capture the crowding of the activities inside the ED. By undertaking process mining, it is possible to gain insights into the hospital processes extracting the entire patient-flow and the queueing-related information (e.g., [...]
IN: Proceedings IFKAD 2018 - Societal Impact of Knowledge and Design
PP: 1639-1651
See all publications by each of the following authors: Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, Valeria Mininno
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