Eye Imaging Workflow for Early Microvascular Risk Assessment
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Solution Overview
Problem
Patients with diseases such as sepsis or coronavirus often exhibit mild symptoms initially, but can rapidly deteriorate due to endothelial cell malfunction and microvascular problems, which are not easily detected by conventional vital sign monitoring.
Innovation Solution
An eye imaging device with a camera and computing system that captures eye images, determines a workflow based on a risk score, conducts a microvascular assessment, and adjusts the risk score accordingly, allowing for patient self-use without mydriatic drugs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vital sign monitoring is used, then patient monitoring is simple and accessible, but microvascular changes cannot be detected early
Solution Approach 1:
The eye imaging device is designed to perform multiple functions: capturing eye images, conducting microvascular assessments, calculating risk scores, and providing clinical decision support. This multi-functionality allows a single device to address both the need for early microvascular detection and maintain broad applicability across different patient scenarios.
Solution Approach 2:
The system enables patient self-monitoring through automated workflows where the device captures images, processes them through AI algorithms, and generates risk assessments without requiring constant clinician intervention. This reduces the complexity burden on healthcare providers while maintaining high measurement precision.
2Ease of operation
If eye imaging device is made accessible to patients for self-use, then clinician exposure is reduced, but workflow complexity increases
Solution Approach 1:
The system pre-determines workflows based on patient risk scores before image capture. By calculating initial risk assessments and selecting appropriate imaging protocols in advance, the device simplifies the actual patient operation while maintaining complex adaptive capabilities through automated decision-making algorithms.
Solution Approach 2:
The workflow determination is dynamic and adapts based on patient-specific risk factors. The system adjusts imaging parameters and assessment protocols automatically according to the calculated risk score, enabling patient self-use without requiring them to understand complex procedures while maintaining optimized diagnostic workflows.
3Measurement precision
If comprehensive microvascular assessment is performed, then risk scoring accuracy is improved, but assessment time increases
Solution Approach 1:
The system performs microvascular assessments selectively based on patient risk scores. For low-risk patients, simplified assessments are used, while high-risk patients receive comprehensive evaluations. This partial action approach maintains high risk score accuracy for those who need it while reducing unnecessary assessment time for lower-risk individuals.
Solution Approach 2:
Manual comprehensive assessments are replaced with automated AI-based image analysis. The system uses machine learning algorithms to rapidly process eye images and extract microvascular features, achieving comprehensive assessment accuracy without the time cost of manual evaluation by clinicians.
Data Source
AI summary
A system for capturing one or more eye images includes an eye imaging device having a camera configured to capture the eye images. The system determines a workflow for capturing the eye images using the eye imaging device. The workflow is determined based on a risk score for a given patient. The system performs the workflow on the eye imaging device to capture the eye images, conducts a microvascular assessment based on the captured eye images, and adjusts the risk score based on the microvascular assessment.