Background: Effective communication is a key factor in healthcare, essential for improving process efficiency and quality of care. This is particularly true in new services, e.g., the 3D printing service inside the hospital. Objectives: A web platform, called 3DSCT, has been developed to act as an interface between the three categories of operators involved in 3D printing: physicians, radiologists and engineers. Methods: The 3DSCT platform has been designed using Microsoft Visual Studio Code, enclosing .js scripts and HTML pages with the relative CSS formats. Results: When applied to a real 3D printing service, the 3DSCT platform provided an effective solution that streamlined the process of designing and manufacturing 3D-printed artifacts, from physician’s request through development to printing. Conclusion: By incorporating the platform into the hospital management system, it will be possible to reduce the overall lead time and decrease the waste of time for the operators involved in 3D printing inside the hospital.

(2022). Communication and Decision Support Tool for an In-Hospital 3D Printing Service . Retrieved from http://hdl.handle.net/10446/217710

Communication and Decision Support Tool for an In-Hospital 3D Printing Service

Capelli, Serena;Vitali, Andrea;Lanzarone, Ettore
2022-01-01

Abstract

Background: Effective communication is a key factor in healthcare, essential for improving process efficiency and quality of care. This is particularly true in new services, e.g., the 3D printing service inside the hospital. Objectives: A web platform, called 3DSCT, has been developed to act as an interface between the three categories of operators involved in 3D printing: physicians, radiologists and engineers. Methods: The 3DSCT platform has been designed using Microsoft Visual Studio Code, enclosing .js scripts and HTML pages with the relative CSS formats. Results: When applied to a real 3D printing service, the 3DSCT platform provided an effective solution that streamlined the process of designing and manufacturing 3D-printed artifacts, from physician’s request through development to printing. Conclusion: By incorporating the platform into the hospital management system, it will be possible to reduce the overall lead time and decrease the waste of time for the operators involved in 3D printing inside the hospital.
2022
Inglese
dHealth 2022
Schreier, Günter; Pfeifer, Bernhard; Baumgartner, Martin; Hayn, Dieter
9781643682822
293
52
58
cartaceo
online
Netherlands
Amsterdam
IOS Press
dHealth 2022: 16th annual conference on Health Informatics Meets Digital Health, Vienna, Austria, 24-25 May 2022
16th
Vienna (Austria)
24-25 May 2022
AIT Austrian Institute of Technology
internazionale
contributo
Settore ING-IND/34 - Bioingegneria Industriale
3D-Printing; Communication; Clinical Decision Support System
indice consultabile alla pagina degli atti
info:eu-repo/semantics/conferenceObject
7
Bonacorsi, Federico; Capelli, Serena; Locatelli, Fabio; Todeschini, Mattia; Marconi, Stefania; Vitali, Andrea; Lanzarone, Ettore
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2022). Communication and Decision Support Tool for an In-Hospital 3D Printing Service . Retrieved from http://hdl.handle.net/10446/217710
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/217710
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