Vision Assessment Application Using Baseline Profile Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for assessing vision require human intervention and are subjective, making them inefficient for early detection of visual dysfunctions and lacking in continuous, objective monitoring.
Innovation Solution
A system using a computing device to automatically assess vision by establishing a baseline profile of visual parameters, modifying them periodically, and recording user responses, with notifications sent if changes exceed a threshold, allowing for early detection of visual impairments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision assessment methods are used with human physicians, then subjective evaluation can be performed, but the assessment is not continuous and requires patient appointments
Solution Approach 1:
The system enables patients to perform vision assessments independently using their own computing devices without requiring physician involvement for each assessment. The application automatically conducts tests, tracks responses, and monitors vision changes over time, allowing patients to serve themselves in the assessment process while the system continuously monitors their vision health.
Solution Approach 2:
The system establishes continuous vision monitoring by periodically administering assessments and automatically tracking changes over time. Rather than discrete annual appointments, the system continuously collects vision data through repeated testing sessions, maintaining an ongoing record of vision health that can detect changes as they occur.
2Reliability
If traditional vision assessment methods are used, then periodic evaluation can be conducted, but the assessment is cross-sectional rather than continuous
Solution Approach 1:
The system transforms periodic cross-sectional assessments into continuous longitudinal monitoring by automatically administering tests at regular intervals and maintaining a cumulative record of all responses. This continuous data collection enables reliable detection of vision changes over time without requiring high-frequency assessments.
Solution Approach 2:
The system implements feedback mechanisms where assessment results are automatically compared against established norms and previous measurements, providing continuous information about vision status. This feedback loop enables the system to maintain reliable assessments through automated analysis rather than requiring frequent manual evaluations.
3Measurement precision
If traditional vision assessment methods are used with physicians, then comprehensive evaluation can be performed, but the process is manual or semi-automated
Solution Approach 1:
The system replaces manual physician-based assessment mechanisms with automated computational processes. The application automatically presents visual stimuli, tracks patient responses through interface interactions, processes test results, and generates assessments without requiring manual intervention, thereby maintaining measurement precision while reducing system complexity.
Solution Approach 2:
The system enables automated vision assessment that does not require physician participation for each testing session. The application independently administers tests, analyzes responses, and generates reports, replacing the manual physician process with an autonomous automated system that maintains accuracy while simplifying the overall process.
4Reliability
If traditional vision assessment methods are used, then professional evaluation can be obtained, but the assessment requires active patient participation and is subjective
Solution Approach 1:
The system replaces subjective physician interpretation with automated computational analysis of patient responses. The application objectively measures vision parameters by analyzing interface interactions and test responses through standardized algorithms, eliminating subjective bias while maintaining ease of patient participation through user-friendly interface design.
Solution Approach 2:
The system implements automated feedback mechanisms that objectively process patient responses and generate vision assessments without requiring subjective judgment. The feedback loop automatically compares responses against established criteria and provides objective measurements, maintaining reliability while keeping the interaction simple and accessible for patients.
Data Source
AI summary
A system and associated methods are disclosed for objectively assessing the vision of a user using a computing device. In at least one embodiment, upon an assessment application in memory on the computing device being initialized, a baseline profile is established for the user based on a current state of an at least one visual parameter associated with a display screen of the computing device. The assessment application selectively modifies the at least one visual parameter periodically, and then monitors and records the user's response to the modifications. The user's responses are compared to the baseline profile and, upon the responses exceeding a pre-defined threshold Delta value, the assessment application notifies the user of a possible change in their vision.