Remote Ophthalmology System with AI Screening and Segmented Diagnostics
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Solution Overview
Problem
Current eye health examination systems are inefficient due to the need for frequent, costly, and inconvenient visits to ophthalmologists, often resulting in irregular screenings and incomplete assessments, as they lack comprehensive testing and real-time remote ophthalmologist input, automated diagnostics, and AI assistance.
Innovation Solution
A system comprising Checkup Point diagnostic centres equipped with ophthalmic equipment and AI-assisted software that allows remote ophthalmologists to review and analyze patient data, generate eye health reports, and control testing equipment, enabling comprehensive eye health examinations at various locations with reduced time and cost, and promoting regular screenings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individuals visit ophthalmologists regularly for comprehensive eye examinations, then eye health detection accuracy and treatment outcomes are improved, but time consumption and cost increase
Solution Approach 1:
The examination system is segmented into two parts: automated screening tests performed at checkup points by trained personnel, and comprehensive diagnostic evaluation performed remotely by ophthalmologists. This segmentation allows initial screening to be done quickly and efficiently, with only abnormal cases requiring full ophthalmologist review, thus reducing time consumption while maintaining detection accuracy.
Solution Approach 2:
A telehealth platform serves as an intermediary between checkup points and ophthalmologists, enabling remote transmission and evaluation of examination data. This intermediary system allows ophthalmologists to review and interpret test results remotely without requiring patients to travel to their offices, significantly reducing time consumption while preserving diagnostic accuracy.
2Reliability
If comprehensive eye examinations are conducted at specialized ophthalmologist offices, then diagnostic accuracy is improved, but accessibility and convenience deteriorate
Solution Approach 1:
The system adds a spatial dimension by distributing examination capabilities to multiple checkup points located in accessible community locations, while maintaining diagnostic expertise through remote ophthalmologist review. This dimensional expansion allows patients to access examinations at convenient local locations rather than traveling to specialized ophthalmologist offices, improving accessibility without compromising diagnostic accuracy.
3Ease of operation
If automated screening systems are used for eye examinations, then accessibility and cost-effectiveness are improved, but diagnostic completeness deteriorates
Solution Approach 1:
The system implements a feedback mechanism where automated screening results are transmitted to ophthalmologists for review and interpretation. Ophthalmologists provide feedback on abnormal findings and determine whether further diagnostic evaluation is needed, ensuring that automated screening does not compromise diagnostic completeness while maintaining accessibility and cost-effectiveness.
Data Source
AI summary
The present invention relates to a system for providing eye health examinations, comprising: a plurality of diagnostic centres, wherein the diagnostic centres are configured to transmit requests to a network of ophthalmologist to administer eye examinations for customers; receive instructions over the network to remotely control operation of ophthalmic equipment in order to administer one or more tests pertaining to the eye examinations; and generate customer examination data pertaining to the one or more tests administered using the ophthalmic equipment. In addition, the system comprises a plurality of practitioner devices associated with ophthalmologists, wherein the practitioner devices are configured to receive the customer examination data in response to accepting one or more of the requests associated with administering the eye examinations; display the received customer examination data; and generate customer evaluation data associated with the one or more accepted requests; at least one server configured to in response to receiving the requests from the diagnostic centres, analyse practitioner data to select ophthalmologists for handling the requests; receive the customer examination data from the diagnostic centres; transmit the customer examination data to the practitioners devices associated with the selected ophthalmologists; receive customer evaluation data from the practitioner devices associated with the selected ophthalmologists. Eye health reports based, at least in part, on the selected ophthalmologists' review and evaluation of the customer examination data are then provided to the customers.