Evidence map›Paper›PMID 35225816›Full record

ArticleJMIR human factors2022

Applications and User Perceptions of Smart Glasses in Emergency Medical Services: Semistructured Interview Study.

Zhan Zhang, Karen Joy, Richard Harris, Mustafa Ozkaynak, Kathleen Adelgais, Kevin Munjal

Abstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhan ZhangSchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0001-6973-6903
Karen JoySchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0002-4321-9091
Richard HarrisSchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0003-1344-2847
Mustafa OzkaynakCollege of Nursing, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-5085-5125
Kathleen AdelgaisSchool of Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-4405-0769
Kevin MunjalDepartment of Emergency Medicine, Mount Sinai Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0001-7392-0367

Funding

A novel approach for supporting care coordination across distributed emergency care teamsR21HS028104 · AHRQ · PACE UNIVERSITY NEW YORK · PI ZHANG, ZHAN · 2021 to 2022
$298k
AHRQ HHS R21 HS028104
6 · The paper itself

Abstract

backgroundSmart glasses have been gaining momentum as a novel technology because of their advantages in enabling hands-free operation and see-what-I-see remote consultation. Researchers have primarily evaluated this technology in hospital settings; however, limited research has investigated its application in prehospital operations.

objectiveThe aim of this study is to understand the potential of smart glasses to support the work practices of prehospital providers, such as emergency medical services (EMS) personnel.

methodsWe conducted semistructured interviews with 13 EMS providers recruited from 4 hospital-based EMS agencies in an urban area in the east coast region of the United States. The interview questions covered EMS workflow, challenges encountered, technology needs, and users' perceptions of smart glasses in supporting daily EMS work. During the interviews, we demonstrated a system prototype to elicit more accurate and comprehensive insights regarding smart glasses. Interviews were transcribed verbatim and analyzed using the open coding technique.

resultsWe identified four potential application areas for smart glasses in EMS: enhancing teleconsultation between distributed prehospital and hospital providers, semiautomating patient data collection and documentation in real time, supporting decision-making and situation awareness, and augmenting quality assurance and training. Compared with the built-in touch pad, voice commands and hand gestures were indicated as the most preferred and suitable interaction mechanisms. EMS providers expressed positive attitudes toward using smart glasses during prehospital encounters. However, several potential barriers and user concerns need to be considered and addressed before implementing and deploying smart glasses in EMS practice. They are related to hardware limitations, human factors, reliability, workflow, interoperability, and privacy.

conclusionsSmart glasses can be a suitable technological means for supporting EMS work. We conclude this paper by discussing several design considerations for realizing the full potential of this hands-free technology.

Indexed as

emergency medical serviceshands-free technologiesmobile phonesmart glassesuser studies

Identifiers

PMID35225816
PMCPMC8922155

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.