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Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D TM ) System for Urological Procedures.

Authors :
Checcucci E
Piramide F
De Cillis S
Volpi G
Piana A
Verri P
Bellin A
Di Dio M
Fiori C
Porpiglia F
Amparore D
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Source :
Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2023 Mar 21; Vol. 59 (3). Date of Electronic Publication: 2023 Mar 21.
Publication Year :
2023

Abstract

Backgound and objectives: In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons' perception and usability of ICON3D <superscript>TM</superscript> platform for robotic and laparoscopic urological surgical procedures. Materials and Methods: During the 10th edition of the Techno-Urology Meeting, surgeons and attendees had the opportunity to test the new ICON3D <superscript>TM</superscript> platform. The capability of the user to manipulate the model with hands/mouse, the software usability, the quality of the 3D model's reproduction, and the quality of its use during the surgery were evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the User-Experience Questionnaire (UEQ). Results: Fifty-three participants responded to the questionnaires. Based on the answers to the Health-ITUES questionnaire, ICON3D <superscript>TM</superscript> resulted to have a positive additional value in presurgical/surgical planning with 43.4% and 39.6% of responders that rated 4 (agree) and 5 (strongly agree), respectively. Regarding the UEQ questionnaire, both mouse and infrared hand-tracking system resulted to be easy to use for 99% of the responders, while the software resulted to be easy to use for 93.4% of the responders. Conclusions: In conclusion, ICON3D <superscript>TM</superscript> has been widely appreciated by urologists thanks to its various applications, from preoperative planning to its support for intraoperative decision-making in both robot-assisted and laparoscopic settings.

Details

Language :
English
ISSN :
1648-9144
Volume :
59
Issue :
3
Database :
MEDLINE
Journal :
Medicina (Kaunas, Lithuania)
Publication Type :
Academic Journal
Accession number :
36984625
Full Text :
https://doi.org/10.3390/medicina59030624