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      A Smart Glass Telemedicine Application for Prehospital Communication: User-Centered Design Study

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          Abstract

          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.

          Methods

          Grounded in participatory design, the study consisted of 2 phases of design requirement gathering, rapid prototyping, usability testing, and prototype refinement. In total, 43 distinct EMS providers with diverse backgrounds participated in this 2-year long iterative design process. All qualitative data (eg, transcribed interviews and discussions) were iteratively coded and analyzed by at least 2 researchers using thematic analysis. Quantitative data, such as System Usability Scale (SUS) scores and feature ratings, were analyzed using statistical methods.

          Results

          Our research identified challenges in 2 essential prehospital communication activities: contacting online medical control (OLMC) physicians for medical guidance and notifying receiving hospital teams of incoming patients. The iterative design process led to the identification of 5 key features that could potentially address the identified challenges: video call functionality with OLMC physicians, call priority indication for expedited OLMC contact, direct communication with receiving hospitals, multimedia patient information sharing, and touchless interaction methods for operating the smart glasses. The SUS score for our system design improved from a mean of 74.3 (SD 11.3) in the first phase (classified as good usability) to 80.3 (SD 13.1) in the second phase (classified as excellent usability). This improvement, along with consistently high ratings for other aspects (eg, willingness to use and feature design), demonstrated continuous enhancement of the system’s design across the 2 phases. Additionally, significant differences in SUS scores were observed between EMS providers in urban areas (median 85, IQR 76-94) and rural areas (median 72.5, IQR 66-83; Mann-Whitney U=43; P=.17), as well as between paramedics (median 72.5, IQR 70-80) and emergency medical technicians (median 85, IQR: 74-98; Mann-Whitney U=44.5; P=.13), suggesting that EMS providers in urban settings and those with less training in treating patients in critical conditions perceived the smart glass application as more useful and user-friendly. Finally, the study also identified several concerns regarding the adoption of the smart glass application, including technical limitations, environmental constraints, and potential barriers to workflow integration.

          Conclusions

          Using a participatory design approach, this study provided insights into designing user-friendly smart glasses that address the current challenges EMS providers face in dynamic prehospital settings.

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          Most cited references56

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          User Acceptance of Information Technology: Toward a Unified View

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            Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development

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              Determining what individual SUS scores mean: adding an adjective rating scale

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2024
                29 November 2024
                : 26
                : e53157
                Affiliations
                [1 ] School of Computer Science and Information Systems Pace University New York, NY United States
                [2 ] Icahn School of Medicine Mount Sinai New York, NY United States
                [3 ] Mount Sinai Hospital New York, NY United States
                [4 ] School of Medicine University of Colorado Aurora, CO United States
                [5 ] Children's Hospital Colorado Aurora, CO United States
                [6 ] College of Nursing University of Colorado Aurora, CO United States
                Author notes
                Corresponding Author: Zhan Zhang zzhang@ 123456pace.edu
                Author information
                https://orcid.org/0000-0001-6973-6903
                https://orcid.org/0000-0003-3692-7687
                https://orcid.org/0009-0004-2897-4672
                https://orcid.org/0009-0009-2466-9466
                https://orcid.org/0000-0002-7553-0423
                https://orcid.org/0000-0002-4405-0769
                https://orcid.org/0000-0002-5085-5125
                Article
                v26i1e53157
                10.2196/53157
                11645503
                39612486
                c001febb-b00f-4c23-ab57-f1cf4fb847f7
                ©Zhan Zhang, Enze Bai, Yincao Xu, Aram Stepanian, Jared M Kutzin, Kathleen Adelgais, Mustafa Ozkaynak. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 29.11.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 27 September 2023
                : 6 May 2024
                : 13 August 2024
                : 16 October 2024
                Categories
                Original Paper
                Original Paper

                Medicine
                smart glass,telemedicine,participatory design,emergency medical service,health care,prehospital care,mobile health,mhealth,augmented reality

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