Our Solutions
Myopia Monitor
People with progressing myopia need regular monitoring to determine if their myopia is getting worse, and to see if the prescribed therapy is slowing or halting the progression of their increase in axial length. OcuDoc Mobile has developed a proprietary algorithm that allows the measurement of this change with the patient’s personal smartphone, and the results are sent directly to their chosen eye care professional.
This telemedicine is more convenient for patients and families, and also allows more frequent and economical monitoring. OcuDoc’s technology allows better surveillance of this eye condition and allows eye care professionals to better monitor their patients. Win-win for both patients and their doctors.
Impact
Population with Myopia
The World Health Organization predicts that 50% of the population will be myopic by 2050. In response, it calls for measures for the detection and management of myopia as an integral part of eye-care services in its 2015 “Impact of Myopia and High Myopia” report. In response, eye care professionals are incorporating specific myopia management programs into their daily practice with more consistent measurement, which requires more frequent, sometimes monthly, trips to the doctor’s office for the patient.
OcuDoc will help eyecare professionals track changes in axial length and refractive error at a single point of time, and over a course of therapy. This remote monitoring will improve patient care via more frequent surveillance and the ability to assess response to therapy. OcuDoc’s technology enhances the value of myopia management programs, and allows every eye care professional to monitor myopia, even without a $25,000 machine.
Future Applications
Over-refraction
From the comfort of their home, patients can check to see if their glasses/contact prescription has changed over time. The results are sent to their designated eye care provider. If a change has been detected, the patient will be alerted to visit their eye care provider for further evaluation.*
* The technology has been proven in the lab in humans and will be further validated with a large population set in 2025. It is not available for general use at this time.
Cataract Detection
This technology lends itself to detecting cataracts at an early stage. Preliminary results show this functionality and this capability will be further studied.
Retinal Tear and Retinal Detachment
This technology lends itself to detecting retinal tears and retinal detachment with a smartphone, using our proprietary algorithm. The “scatter pattern” of a person with a detached retina should be different from a person without a detached retina. This capability will have to be studied further.
Identification of Neurologic Conditions with an Eye Movement Component
This technology lends itself to detecting eye movements. Data from the typical population can be compared to those with diagnosed conditions with abnormal eye movements. With enough of a sample size and with machine learning (artificial intelligence), patterns may emerge, allowing diagnoses to be made with our technology and a smartphone. This has not been studied with our technology at this time, but seems to be a reasonable future application.