A Digital Transformation Framework (DTF) for the Healthcare System

Gentili, Nicola (2023) A Digital Transformation Framework (DTF) for the Healthcare System. [Laurea magistrale], Università di Bologna, Corso di Studio in Digital transformation management [LM-DM270] - Cesena, Documento full-text non disponibile
Il full-text non è disponibile per scelta dell'autore. (Contatta l'autore)

Abstract

The Italian Healthcare System is facing today a moment of great complexity due to the surrounding economic scenario and the constant condition of a market with scarce resources and constantly growing needs: Italy has one of the longest-lived populations in the world but a poor indicators of self-sufficiency in the last years of life. Digital transformation represents a possible lever for the improvement and sustainability of the Healthcare System, however a large number of digital transformation projects fail every year with a waste of resources which, especially when they are public, is not easy to justify. For these reasons, a framework is proposed here to support Digital Transformation in healthcare: starting from the analysis of the external environment and the health ecosystem, the framework helps to identify the scenarios within which healthcare companies will have to move in the coming years. Strategic options are identified in this phase and a novel type of assessment - based on the principle of continuous improvement - is described. Then, the framework provides a set of tools to manage processes and performances and supports the tools with a proposal of information libraries useful for support digital transformation projects. Finally, it is briefly illustrated how the use of knowledge graphs constitutes the basis for the implementation of artificial intelligence systems in this context.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Gentili, Nicola
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Digital Transformation Framework,Healthcare,business performance management,service design,business ecosystem,scenario planning
Data di discussione della Tesi
30 Ottobre 2023
URI

Altri metadati

Gestione del documento: Visualizza il documento

^