Evidence map›Paper›PMID 36853760›Full record

ReviewJMIR medical informatics2023

Smart Glasses for Supporting Distributed Care Work: Systematic Review.

Zhan Zhang, Enze Bai, Karen Joy, Partth Naressh Ghelaa, Kathleen Adelgais, Mustafa Ozkaynak

Full text readReview
In one paragraph

Review in JMIR medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Review
  4. Article
  5. Role of artificial intelligence in gastric diseases.World journal of gastroenterology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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
Enze BaiSchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0003-3692-7687
Karen JoySchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0002-4321-9091
Partth Naressh GhelaaSchool of Computer Science and Information Systems, Pace University, New York, NY, United States.ORCID https://orcid.org/0000-0003-1915-8409
Kathleen AdelgaisSchool of Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-4405-0769
Mustafa OzkaynakCollege of Nursing, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-5085-5125

Funding

AHRQ HHS R21 HS028104
6 · The paper itself

Abstract

backgroundOver the past 2 decades, various desktop and mobile telemedicine systems have been developed to support communication and care coordination among distributed medical teams. However, in the hands-busy care environment, such technologies could become cumbersome because they require medical professionals to manually operate them. Smart glasses have been gaining momentum because of their advantages in enabling hands-free operation and see-what-I-see video-based consultation. Previous research has tested this novel technology in different health care settings.

objectiveThe aim of this study was to review how smart glasses were designed, used, and evaluated as a telemedicine tool to support distributed care coordination and communication, as well as highlight the potential benefits and limitations regarding medical professionals' use of smart glasses in practice.

methodsWe conducted a literature search in 6 databases that cover research within both health care and computer science domains. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to review articles. A total of 5865 articles were retrieved and screened by 3 researchers, with 21 (0.36%) articles included for in-depth analysis.

resultsAll of the reviewed articles (21/21, 100%) used off-the-shelf smart glass device and videoconferencing software, which had a high level of technology readiness for real-world use and deployment in care settings. The common system features used and evaluated in these studies included video and audio streaming, annotation, augmented reality, and hands-free interactions. These studies focused on evaluating the technical feasibility, effectiveness, and user experience of smart glasses. Although the smart glass technology has demonstrated numerous benefits and high levels of user acceptance, the reviewed studies noted a variety of barriers to successful adoption of this novel technology in actual care settings, including technical limitations, human factors and ergonomics, privacy and security issues, and organizational challenges.

conclusionsUser-centered system design, improved hardware performance, and software reliability are needed to realize the potential of smart glasses. More research is needed to examine and evaluate medical professionals' needs, preferences, and perceptions, as well as elucidate how smart glasses affect the clinical workflow in complex care environments. Our findings inform the design, implementation, and evaluation of smart glasses that will improve organizational and patient outcomes.

Indexed as

care coordinationdistributed teamworkmobile phonesmart glasstelemedicine

Identifiers

PMID36853760
PMCPMC10015357

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read59
Read underepoch 390

Registered trials

None linked

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.