Development of an Online Vision Screening Platform with High Accuracy and Affordability

Limited access to traditional in-person eye exams due to geographical, logistical, and cost barriers, coupled with strict accuracy requirements and patient skepticism about transitioning to digital solutions. This hampers efforts to provide affordable, reliable, and widespread vision testing for millions in need of eye care.

A large healthcare organization seeking to modernize eye care services through digital solutions to improve accessibility, reduce costs, and maintain clinical-grade accuracy in vision assessments.

• Achieve a platform success rate comparable to clinical in-person exams, targeting at least 99.6% accuracy in vision screening results.
• Reduce the cost of vision testing to make it significantly more affordable, aiming for at least a 75% cost reduction compared to traditional exams.
• Expand access to vision care services to millions affected by untreated eye conditions by offering an easy-to-use, remote testing solution.
• Ensure the platform can reliably generate accurate prescriptions without the need for specialized equipment, based on real-world data validation.
• Develop rapid prototyping and iterative feedback mechanisms to continually refine exam accuracy and user experience.

• Self-administered vision tests with minimal user input and guidance.
• Responsive UI with dynamic calibration of font sizes and screen intervals based on device resolution to ensure measurement accuracy.
• Real-time user environment adaptation to account for different device conditions and settings.
• Crowdsourced beta testing framework to simulate real-world conditions and gather large-scale user feedback.
• Automated analytics tracking user behavior, test outcomes, and system performance to facilitate continuous improvement.

• Analytics platforms for real-time user behavior tracking
• Data validation modules to ensure measurement precision
• User feedback collection systems

• Achieve at least a 99.6% success rate in vision screening results in real-world testing scenarios.
• Ensure platform responsiveness across all devices and browsers.
• Maintain data security and patient privacy compliance (e.g., GDPR, HIPAA).
• Support scalable user testing to accommodate large-scale deployment.

The platform is expected to dramatically enhance access to affordable eye care, reducing costs by approximately 75%, and providing clinical-grade accuracy comparable to in-person exams. It aims to serve over 6 million individuals with untreated vision issues, thereby expanding eye care accessibility and improving overall public health outcomes through scalable, reliable digital solutions.