ArticleIndian journal of ophthalmology2023
Dry eye module - An application intelligence platform for diagnosing and monitoring dry eye disease.
Article in Indian journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Dry Eye Disease And The Jenvis Dry Eye Report Diagnosis Tool: A Literature Review with Emphasis On African Populations.Clinical optometry · 2026Review
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dry Eye Module (DEM), a software application, was developed to facilitate the streamlining of dry eye evaluation and documentation, to unify diagnostic jargon, and to analyze data input to generate a dry eye diagnostic report. This diagnostic report generated is based on the current understanding of dry eye diagnostic algorithms (Dry Eye Workshop 2 [DEWS2]/Asia Dry Eye Society [ADES]). Apart from its plausible role in aiding unprecedented multicentric dry eye demographic data collection, the application software can generate a customized referral letter to the rheumatologist, highlighting the salient ophthalmic features to be shared. DEM uses schematic illustrations to depict eyelid, conjunctival, and corneal parameters that impact the ocular surface in dry eyes that can be captured and compared during serial visits. Furthermore, DEM displays a symptom sign trend chart that graphically represents improvement/stability or worsening of the subjective and objective dry eye status. DEM can generate a curated prescription using preloaded advice templates. DEM includes facility for state-of-the-art advanced dry eye diagnostic reporting for super specialty use. The addition of DEM to the dry eye diagnostic armamentarium would help bridge the current unmet needs of dry eye evaluation. These are lack of uniform reporting, lack of multicentric data on a unified platform, the inability to ensure complete evaluation, inability to avoid lacunae during follow-up visits, and the lack of a simple patient-ophthalmologist and an ophthalmologist-rheumatologist interface.
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Registered trials
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