Eye Grader

Eye Grader is a cloud based telemedicine platform that combines fundus photography, interpretation, referral and video consultation.

Highlights

* Cloud computing
   System runs on cloud computing and supports all work given internet connection.

* Camera compatibility
   No restriction on type of fundus camera or port.

* Automatic grading
   Automatic analysis of fundus photo in the computing system, reducing workload and enhancing screening efficiency.

* Data safety HIPAA standard
   Data safety of Eye Grader system has been granted according to the standard of Health Insurance Probability and Accountability Act (HIPAA).

* Online training
    Through lectures, videos and forum interaction, Eye Grader offers online training in interpreting fundus photo.

* Adaptive picture compression
   Eye Grader automatically compresses photos to a resolution required for analysis and at the same time allows enhanced upload speed.

Solution

Basic components of Eye Grader are data collection and graded analysis.

Utilizing the Cloud computing system, fundus photography taken in community or medical centres can be uploaded to Eye Grader, through analysis of both artificial intelligence system and trained technicians, an interpretive report will then be generated and sent back to the periphery.

At the same time, patient can also access this report on smart phone app, and be notified to present to hospitals if condition is graded severe. This forms a more tightly connected system between community, general hospitals and ophthalmology specialist service, and allows hospitals to assist in the process of ophthalmic condition diagnosis in remote areas and to expand the geography they are able to provide medical service to.

Eye Grader system allows great flexibility in incorporating additional data collection and grading services.

Service user guide

Eye Grader service:

1. Fundus photography collection
    Profile set-up and fundus photography for patients in peripheral services.

2. Photo upload
    Fundus photos uploaded to Cloud after adaptive compression.

3. Automatic grading
    Computing system automatically grades photos for common eye conditions.

4. Manual grading
    Trained technicians grade photos.

5. Report generation
     Generated report can be sent to patients in messages and or through smart phone apps.

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