ReviewJournal of medical systems2015
Decision support systems and applications in ophthalmology: literature and commercial review focused on mobile apps.
Review in Journal of medical systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed.
- Beyond accessibility: co-designing mHealth to bridge the physical activity gap for people with disabilities.mHealth · 2026Article
- Neural networks for predicting etiological diagnosis of uveitis.Eye (London, England) · 2025Article
- Artificial intelligence virtual assistants in primary eye care practice.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Article
- An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application.BMC medical informatics and decision making · 2023Article
- A clinical decision support system for diagnosing and determining severity of dry eye disease.Eye (London, England) · 2023Article
- Diagnosis, Classification, and Assessment of the Underlying Etiology of Uveitis by Artificial Intelligence: A Systematic Review.Journal of clinical medicine · 2023Review
- Development and Validation of a Bayesian Network for Supporting the Etiological Diagnosis of Uveitis.Journal of clinical medicine · 2021Article
- A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment.Journal of medical systems · 2018Article
- Effects of an e-Prescribing interface redesign on rates of generic drug prescribing: exploiting default options.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- A mobile decision support system for red eye diseases diagnosis: experience with medical students.Journal of medical systems · 2016Article
- Experiences and Results of Applying Tools for Assessing the Quality of a mHealth App Named Heartkeeper.Journal of medical systems · 2015Article
- Android mobile applications in eye care.Oman journal of ophthalmologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing importance that mobile devices have in daily life has also reached health care and medicine. This is making the paradigm of health care change and the concept of mHealth or mobile health more relevant, whose main essence is the apps. This new reality makes it possible for doctors who are not specialist to have easy access to all the information generated in different corners of the world, making them potential keepers of that knowledge. However, the new daily information exceeds the limits of the human intellect, making Decision Support Systems (DSS) necessary for helping doctors to diagnose diseases and also help them to decide the attitude that has to be taken towards these diagnoses. These could improve the health care in remote areas and developing countries. All of this is even more important in diseases that are more prevalent in primary care and that directly affect the people's quality of life, this is the case in ophthalmological problems where in first patient care a specialist in ophthalmology is not involved. The goal of this paper is to analyse the state of the art of DSS in Ophthalmology. Many of them focused on diseases affecting the eye's posterior pole. For achieving the main purpose of this research work, a literature review and commercial apps analysis will be done. The used databases and systems will be IEEE Xplore, Web of Science (WoS), Scopus, and PubMed. The search is limited to articles published from 2000 until now. Later, different Mobile Decision Support System (MDSS) in Ophthalmology will be analyzed in the virtual stores for Android and iOS. 37 articles were selected according their thematic (posterior pole, anterior pole, Electronic Health Records (EHRs), cloud, data mining, algorithms and structures for DSS, and other) from a total of 600 found in the above cited databases. Very few mobile apps were found in the different stores. It can be concluded that almost all existing mobile apps are focused on the eye's posterior pole. Among them, the most intended are for diagnostic of diabetic retinopathy. The primary market niche of the commercial apps is the general physicians.
Indexed as
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Registered trials
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.