Publication Authors: Valeria Mininno

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
Performance analysis in emergency departments: a data-driven approach
Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, Valeria Mininno
This paper aims to investigate the process performances in Emergency Departments with an innovative data-driven approach. This approach permits to gain insights into the Emergency Departments processes showing the entire patient-flow, deploying the performances in term of time and resources on the activities and flows, and identifying process deviations and critical bottlenecks. Moreover, the use [...]
IN: Proceedings IFKAD 2017 - Knowledge Management in the 21st Century: Resilience, Creativity and Co-creation
PP: 73-84
See all publications by each of the following authors: Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, Valeria Mininno
Big Data: a proposal for enabling factors in Customer Relationship Management
Davide Aloini, Riccardo Dulmin, Valeria Mininno, Pierluigi Zerbino
This paper aims to investigate the potential impact of Big Data (BD) on Critical Success Factors (CSFs) of Customer Relationship Management (CRM). An extensive and sound literature review about CRM was developed, classifying results within an ad-hoc framework. Evidences were discussed and linked to the existing literature on BD. Then, five propositions linking BD and [...]
IN: Proceedings IFKAD 2016 - Towards a New Architecture of Knowledge: Big Data, Culture and Creativity
PP: 1858-1874
See all publications by each of the following authors: Davide Aloini, Pierluigi Zerbino, Riccardo Dulmin, Valeria Mininno
Structured selection of partners in Open Innovation communities: an IF-TOPSIS based approach
Davide Aloini, Riccardo Dulmin, Giulia Farina, Valeria Mininno, Luisa Pellegrini
Purpose – Open innovation (OI) literature suggests that firms can improve their innovation performance by learning from a large set of actors in the innovation process. However, although this premise, the extant literature has rather completely overlooked the ‘who’ question: which partners should be included in the different phases of the innovation funnel? How should [...]
IN: Proceedings IFKAD 2015 - Culture, Innovation and Entrepreneurship: Connecting the Knowledge Dots
PP: 2274-2288
See all publications by each of the following authors: Davide Aloini, Giulia Farina, Luisa Pellegrini, Riccardo Dulmin, Valeria Mininno
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