Augmented Reality Eyewear for Assisting in the Preparation and Control of Cancer Therapies: Assessing the Learning Curve and Level of Adoption.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
22 Aug 2024
Historique:
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: ppublish

Résumé

Since March 2022, the centralized cytotoxic preparation unit at the Lille University Hospital (Lille, France) is equipped with augmented reality eyewear for preparation and quality control. The technology enables a user-friendly guided step by step preparation process. It also assists the user by identifying vials through data matrix scan and recording photos at different stages of preparation in order to replace the in-process double visual inspection which will now be carried out a posteriori during the release control. In this paper, we evaluate user feedback and model the learning curve for this new tool. The team's feedback was evaluated using the System Usability Scale (SUS) and Short User Experience Questionnaire (S-UEQ). Both questionnaires showed very good acceptance of the tool by our teams, with scores of 79.7 for the SUS and 2.014 for the UEQ. Finally, a learning curve was drawn up according to Wright, showing a learning curve of 91%. This study shows that the tool has been very well integrated into our preparation unit.

Identifiants

pubmed: 39176853
pii: SHTI240793
doi: 10.3233/SHTI240793
doi:

Substances chimiques

Antineoplastic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1856-1860

Auteurs

Arthur Lecoutre (A)

Lille University Hospital - Institut de Pharmacie, F-59000 Lille, France.

Michèle Vasseur (M)

Lille University Hospital - Institut de Pharmacie, F-59000 Lille, France.
Univ. Lille, CHU Lille, ULR 7365 - GRITA, F-59000 Lille, France.

Justin Courtin (J)

Lille University Hospital - Institut de Pharmacie, F-59000 Lille, France.

Sarah Ben Othman (S)

Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France.

Slim Hammadi (S)

Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France.

Sylvia Pelayo (S)

Univ. Lille, CHU Lille, ULR 2694 - METRICS, Health Technology Assessment and Medical Practices, F-59000, Lille, France.
Inserm, CIC-IT 1403, F-59000, Lille, France.

Bertrand Decaudin (B)

Lille University Hospital - Institut de Pharmacie, F-59000 Lille, France.
Univ. Lille, CHU Lille, ULR 7365 - GRITA, F-59000 Lille, France.

Pascal Odou (P)

Lille University Hospital - Institut de Pharmacie, F-59000 Lille, France.
Univ. Lille, CHU Lille, ULR 7365 - GRITA, F-59000 Lille, France.

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Classifications MeSH