The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Clinical and surgical applications of smart glasses
Abstract
BACKGROUND: With the increased efforts to adopt health information technology in the healthcare field, many innovative devices have emerged to improve patient care, increase efficiency, and decrease healthcare costs. A recent addition is smart glasses: web-connected glasses that can present data onto the lenses and record images or videos through a front-facing camera. OBJECTIVE: In this article, we review the most salient uses of smart glasses in healthcare, while also denoting their limitations including practical capabilities and patient confidentiality. METHODS: Using keywords including, but not limited to, ``smart glasses'', ``healthcare'', ``evaluation'', ``privacy'', and ``development'', we conducted a search on Ovid-MEDLINE, PubMed, and Google Scholar. A total of 71 studies were included in this review. RESULTS: Smart glasses have been adopted into the healthcare setting with several useful applications including, hands-free photo and video documentation, telemedicine, Electronic Health Record retrieval and input, rapid diagnostic test analysis, education, and live broadcasting. CONCLUSIONS: In order for the device to gain acceptance by medical professionals, smart glasses will need to be tailored to fit the needs of medical and surgical sub-specialties. Future studies will need to qualitatively assess the benefits of smart glasses as an adjunct to the current health information technology infrastructure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The “Meaningful Use” Regulation for Electronic Health Records
Blumenthal, D., & Tavenner, M. (2010) · New England Journal of Medicine · doi:10.1056/nejmp1006114 · Cited by 2,059
mHealth 2.0: Experiences, Possibilities, and Perspectives
Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., & Albrecht, U.-V. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3328 · Cited by 354
Cited by
Khor, W. S., Baker, B., Amin, K., Chan, A., Patel, K., & Wong, J. (2016) · Annals of Translational Medicine · doi:10.21037/atm.2016.12.23 · Cited by 398
Metadata
- Authors
- Mitrasinovic, S., Camacho, E., Trivedi, N., Logan, J., Campbell, C., Zilinyi, R., Lieber, B., Bruce, E., Taylor, B., Martineau, D., Dumont, E. L. P., Appelboom, G., & Connolly Jr., E. S.
- Venue
- Technology and Health Care
- Publisher
- SAGE Publications
- Published
- 2015-07-21
- Volume
- 23
- Issue
- 4
- Pages
- 381-401
- ISSN
- 0928-7329 (ISSN-L)
- 1878-7401
- OpenAlex
- W1121216140
- Cited by
- 160
- References
- 2
- FWCI
- 10.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
