The National Recovery and Resilience Plan (NRRP) is an economic recovery mechanism that was introduced by the European Union to restore the loss caused by the Covid-19 pandemic. Mission 6 of the plan addresses the critical issues of the Italian public health system by encouraging innovation and digitalization of its facilities through technological modernization. The process of replacing medical devices in hospitals, especially in the case of high technology, has turned out to be extremely difficult and therefore requires careful planning. In this regard, a study was conducted at the ASST of Spedali Civili di Brescia to analyze and support the complex process of replacing 7 out of the 10 MRIs available. This opportunity also represents a challenge for the hospital since the latter is required to guarantee almost all service deliveries during the same time frame. For this reason, the study proposes a linear model based on operational research theory aimed at maximizing the number of MRI exams performed during the replacement time. For the implementation of this model, the data analysis aimed at identifying the total number of exams performed by each single MRI, was executed. Subsequently, the time required for the conclusion of the work in the technical room was estimated, so that the most proper order of replacement could be visualized to reach the purpose of the study, thus concurrently respecting the timeline. In addition, an innovative method concerning the training of MRI personnel was scheduled. All analyses conducted so far, were essential to perform the predictive task, which was done using the linear model. The results obtained from the simulations were reported considering three conditions: no project case, project case with technological continuity and a project case without technological continuity. Finally, an algorithm aimed at the automatic agenda composition was created. Although the study has been limited to the needs of the Spedali Civili di Brescia, the implicit scalability of linear models, together with the growing necessity of a conscious use of the resources, make the proposed solution adaptable to many other problems and facilities.
Il Piano Nazionale di Ripresa e Resilienza (PNRR) rappresenta uno strumento di rilancio economico introdotto dall’Unione europea per risanare le perdite causate dalla pandemia Covid-19. In particolare, la missione 6 del suddetto piano affronta le criticità del sistema sanitario pubblico italiano, incoraggiando l’innovazione e la digitalizzazione delle sue strutture mediante l’ammodernamento tecnologico. Il processo sostitutivo dei dispositivi medici in ospedale però, specialmente nel caso dell’alta tecnologia, risulta essere estremamente articolato e necessita, quindi, di un’attenta pianificazione. A tal proposito, è stato condotto uno studio presso l’ASST degli Spedali Civili di Brescia al fine di analizzare e supportare il complesso processo di sostituzione delle 7 risonanze magnetiche sulle 10 a disposizione. Tale opportunità rappresenta una sfida per l’ospedale, il quale è tenuto a garantire, durante il medesimo periodo, la quasi totalità dell’erogazione dei servizi. Per questa ragione, lo studio in esame propone un modello lineare basato sulla teoria della ricerca operativa finalizzato alla massimizzazione degli esami eseguiti durante il periodo di sostituzione. Per l’implementazione del modello è stata condotta un’analisi dei dati finalizzata all’ottenimento della stima del numero di esami compiuti da ciascuna risonanza negli anni precedenti. Successivamente, sono stati valutati i tempi necessari per il compimento dei lavori nei locali tecnici, in modo tale da poter individuare l’ordine di sostituzione maggiormente idoneo ai fini del perseguimento dell’obiettivo prefissato, dunque il mantenimento dell’agenda durante il suddetto periodo. È stato elaborato, inoltre, un metodo innovativo riguardante la formazione del personale delegato all’utilizzo delle tecnologie in esame. Tutte le analisi pocanzi descritte sono state fondamentali per eseguire l’attività predittiva, condotta attraverso l’utilizzo del modello lineare proposto. I risultati ottenuti dalle simulazioni sono stati riportati in tre casistiche differenti: il caso senza progetto, il caso con progetto e continuità tecnologica ed il caso con progetto e discontinuità tecnologica. È stato proposto, infine, un algoritmo finalizzato alla composizione automatica dell’agenda. Sebbene lo studio proposto sia circoscritto alle esigenze degli Spedali Civili di Brescia, l’intrinseca scalabilità dei modelli lineari, nonché il crescente interesse, da parte delle strutture sanitarie, nei confronti di un utilizzo consapevole delle risorse rendono la soluzione prospettata adattabile anche a problematiche e strutture differenti.
Sviluppo di un modello di ricerca operativa per lo studio e l'ottimizzazione del processo sostitutivo delle alte tecnologie biomedicali:sfide nel contesto del PNRR presso l'ASST degli Spedali Civili di Brescia
Croci, Emanuela;IOVINELLI, ELENA
2022/2023
Abstract
The National Recovery and Resilience Plan (NRRP) is an economic recovery mechanism that was introduced by the European Union to restore the loss caused by the Covid-19 pandemic. Mission 6 of the plan addresses the critical issues of the Italian public health system by encouraging innovation and digitalization of its facilities through technological modernization. The process of replacing medical devices in hospitals, especially in the case of high technology, has turned out to be extremely difficult and therefore requires careful planning. In this regard, a study was conducted at the ASST of Spedali Civili di Brescia to analyze and support the complex process of replacing 7 out of the 10 MRIs available. This opportunity also represents a challenge for the hospital since the latter is required to guarantee almost all service deliveries during the same time frame. For this reason, the study proposes a linear model based on operational research theory aimed at maximizing the number of MRI exams performed during the replacement time. For the implementation of this model, the data analysis aimed at identifying the total number of exams performed by each single MRI, was executed. Subsequently, the time required for the conclusion of the work in the technical room was estimated, so that the most proper order of replacement could be visualized to reach the purpose of the study, thus concurrently respecting the timeline. In addition, an innovative method concerning the training of MRI personnel was scheduled. All analyses conducted so far, were essential to perform the predictive task, which was done using the linear model. The results obtained from the simulations were reported considering three conditions: no project case, project case with technological continuity and a project case without technological continuity. Finally, an algorithm aimed at the automatic agenda composition was created. Although the study has been limited to the needs of the Spedali Civili di Brescia, the implicit scalability of linear models, together with the growing necessity of a conscious use of the resources, make the proposed solution adaptable to many other problems and facilities.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/207172