Big Data, AI, and Health Information Technology Systems in Ophthalmic Care

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1659

Special Issue Editor


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Guest Editor
VC-Health Sciences-Schools, University of California San Diego, San Diego, CA 92093, USA
Interests: ophthalmology; informatics; artificial intelligence; electronic health records; predictive analytics; health disparities

Special Issue Information

Dear Colleagues,

I am excited to invite you to contribute to a Special Issue on Big Data, AI, and Health Information Technology Systems in Ophthalmic Care in the journal Information.

The scope of the Special Issue will be to reflect the incredible progress and advancement in this space, specifically applied to ophthalmology. A broad range of papers will be considered and can pertain to topics across the entire spectrum of AI, big data, and informatics (see list of keywords below). We will accept primary research articles as well as review articles.

The deadline is May 1, 2023, but submissions will be accepted at any point prior to the deadline and will be processed upon receipt. Feel free to reach out to me with any questions at [email protected], and we look forward to receiving your submissions!

Dr. Sally L. Baxter
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • applied clinical informatics
  • artificial intelligence
  • big data
  • biomedical informatics
  • clinical decision support
  • data harmonization
  • data privacy
  • data standards, terminologies, ontologies
  • data visualization
  • deep learning
  • digital health
  • health information technology
  • human–computer interaction
  • Internet of Things
  • informatics
  • machine learning
  • medical education
  • mobile technologies
  • natural language processing
  • ophthalmology (all subspecialties welcome)
  • patient-generated data
  • predictive modeling
  • sensors
  • telemedicine/telehealth

Published Papers (1 paper)

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Research

12 pages, 818 KiB  
Article
Availability of Physical Activity Tracking Data from Wearable Devices for Glaucoma Patients
by Sonali B. Bhanvadia, Leo Meller, Kian Madjedi, Robert N. Weinreb and Sally L. Baxter
Information 2023, 14(9), 493; https://doi.org/10.3390/info14090493 - 7 Sep 2023
Viewed by 1149
Abstract
Physical activity has been found to potentially modulate glaucoma risk, but the evidence remains inconclusive. The increasing use of wearable physical activity trackers may provide longitudinal and granular data suitable to address this issue, but little is known regarding the characteristics and availability [...] Read more.
Physical activity has been found to potentially modulate glaucoma risk, but the evidence remains inconclusive. The increasing use of wearable physical activity trackers may provide longitudinal and granular data suitable to address this issue, but little is known regarding the characteristics and availability of these data sources. We performed a scoping review and query of data sources on the availability of wearable physical activity data for glaucoma patients. Literature databases (PubMed and MEDLINE) were reviewed with search terms consisting of those related to physical activity trackers and those related to glaucoma, and we evaluated results at the intersection of these two groups. Biomedical databases were also reviewed, for which we completed database queries. We identified eight data sources containing physical activity tracking data for glaucoma, with two being large national databases (UK BioBank and All of Us) and six from individual journal articles providing participant-level information. The number of glaucoma patients with physical activity tracking data available, types of glaucoma-related data, fitness devices utilized, and diversity of participants varied across all sources. Overall, there were limited analyses of these data, suggesting the need for additional research to further investigate how physical activity may alter glaucoma risk. Full article
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