Purpose: Smart glasses are a kind of wearable technology that gives users sustained, hands-free access to data and can transmit and receive information wirelessly. Earlier studies have suggested that smart glasses have the potential to improve patient safety in anesthesia care. Research regarding health care professionals' views of the potential use of smart glasses in anesthesia care is limited. The purpose of this study was to describe anesthesia health care professionals' views of smart glasses before clinical use.
Design: A qualitative descriptive study.
Methods: Data were collected from focus group interviews and analyzed using thematic content analysis.
Findings: Three categories of participants' views of smart glasses were created during the analysis: views of integrating smart glasses in clinical setting; views of customized functionality of smart glasses; and views of being a user of smart glasses. One theme, striving for situational control, was identified in the analysis.
Conclusions: Smart glasses were seen as a tool that can impact and improve access to patient-related information, and aid health care professionals in their struggle to gain situational control during anesthesia care. These are factors related to increased patient safety.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jopan.2020.06.019 | DOI Listing |
Transl Vis Sci Technol
January 2025
Amsterdam UMC, Vrije Universiteit Amsterdam, Ophthalmology, Amsterdam, The Netherlands.
Purpose: This study assessed objective performance, usability, and acceptance of artificial intelligence (AI) by people with vision impairment. The goal was to provide evidence-based data to enhance technology selection for people with vision loss (PVL) based on their loss and needs.
Methods: Using a cross-sectional, counterbalanced, cross-over study involving 25 PVL, we compared performance using two smart glasses (OrCam and Envision Glasses) and two AI apps (Seeing AI and Google Lookout).
Sensors (Basel)
December 2024
The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.
View Article and Find Full Text PDFImaging Sci Dent
December 2024
OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.
BMC Anesthesiol
November 2024
Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, P. R. China.
J Med Internet Res
November 2024
College of Nursing, University of Colorado, Aurora, CO, United States.
Background: Smart glasses have emerged as a promising solution for enhancing communication and care coordination among distributed medical teams. While prior research has explored the feasibility of using smart glasses to improve prehospital communication between emergency medical service (EMS) providers and remote physicians, a research gap remains in understanding the specific requirements and needs of EMS providers for smart glass implementation.
Objective: This study aims to iteratively design and evaluate a smart glass application tailored for prehospital communication by actively involving prospective users in the system design process.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!