Extended Reality in healthcare represents more than just a technological advancement; it offers an opportunity to rethink and improve traditional processes, enhancing efficiency and the overall experience for both healthcare professionals and patients. However, the successful adoption of XR technologies requires a comprehensive analysis of their specific applications and their impact on existing healthcare workflows. This thesis aims to address this need by providing a framework that outlines where and how XR is already influencing the sector and what future prospects may hold. The research began with an extensive literature review, which identified and classified specific use cases into two primary categories: applications for healthcare professionals and students, and applications for patients. To further understand the state of XR adoption in Italy, a thorough census was conducted, collecting data on all XR initiatives across the country's healthcare institutions. Additionally, surveys and interviews with healthcare professionals and technology providers offered deep insights into the current adoption levels of XR, the benefits perceived by institutions and patients, and the challenges preventing broader implementation. These methodologies led to the development of an XR application framework, which provides a structured classification of use cases aligned with the most appropriate XR technology. Despite the promising potential of XR in healthcare for improving efficiency and effectiveness, the market remains in its early stages, facing several critical barriers. Until randomized, multicenter studies involving large patient populations are conducted, XR technologies are unlikely to become standard practice in healthcare.
La Realtà Estesa in ambito sanitario offre l'opportunità di ripensare e ottimizzare i processi tradizionali, migliorando sia l'efficienza che l'esperienza complessiva di operatori sanitari e pazienti. Tuttavia, per un'integrazione efficace delle tecnologie XR in sanità è necessaria un'analisi approfondita delle loro specifiche applicazioni e del loro impatto sui flussi di lavoro esistenti. Questa tesi mira a rispondere a tale esigenza, fornendo un quadro di riferimento che evidenzia dove e come le tecnologie XR stiano influenzando il settore sanitario e quali siano le prospettive future. La ricerca è iniziata con un'ampia revisione della letteratura, che ha permesso di identificare e classificare i casi d'uso in due distinte categorie: applicazioni rivolte a professionisti e studenti di medicina, e applicazioni destinate ai pazienti. Per comprendere meglio lo stato dell’arte delle tecnologie XR in Italia, è stato condotto un censimento dettagliato, raccogliendo dati sulle iniziative XR promosse dalle strutture sanitarie del Paese. Inoltre, sono stati condotti sondaggi e interviste con aziende della domanda e dell’offerta per ottenere una visione dettagliata dello stato attuale di adozione dell’XR, approfondendo i benefici percepiti da istituzioni e pazienti, oltre alle sfide che ne impediscono una diffusione su larga scala. Queste metodologie hanno portato allo sviluppo di un quadro applicativo XR, che offre una classificazione strutturata dei casi d'uso associati alle tecnologie XR più adatte. Nonostante il promettente potenziale dell'XR nell'assistenza sanitaria, queste tecnologie rimangono un mercato di nicchia, ostacolato da diverse barriere. Finché non verranno condotti studi randomizzati e multicentrici su ampi gruppi di pazienti, le tecnologie XR difficilmente entreranno nella pratica clinica tradizionale.
Assessing the role of extended reality in healthcare industry: a systematic inquiry to process optimization
VACCARO, GAIA
2023/2024
Abstract
Extended Reality in healthcare represents more than just a technological advancement; it offers an opportunity to rethink and improve traditional processes, enhancing efficiency and the overall experience for both healthcare professionals and patients. However, the successful adoption of XR technologies requires a comprehensive analysis of their specific applications and their impact on existing healthcare workflows. This thesis aims to address this need by providing a framework that outlines where and how XR is already influencing the sector and what future prospects may hold. The research began with an extensive literature review, which identified and classified specific use cases into two primary categories: applications for healthcare professionals and students, and applications for patients. To further understand the state of XR adoption in Italy, a thorough census was conducted, collecting data on all XR initiatives across the country's healthcare institutions. Additionally, surveys and interviews with healthcare professionals and technology providers offered deep insights into the current adoption levels of XR, the benefits perceived by institutions and patients, and the challenges preventing broader implementation. These methodologies led to the development of an XR application framework, which provides a structured classification of use cases aligned with the most appropriate XR technology. Despite the promising potential of XR in healthcare for improving efficiency and effectiveness, the market remains in its early stages, facing several critical barriers. Until randomized, multicenter studies involving large patient populations are conducted, XR technologies are unlikely to become standard practice in healthcare.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/226472