QR Code Sharing of De-Identified Cardiac Assessments
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Solution Overview
Problem
Current methods for assessing cardiovascular disease, particularly coronary artery disease, lack efficient and accurate tools for quantifying vascular function along vessels and sharing cardiac analysis while preserving patient privacy.
Innovation Solution
A system and method for creating a three-dimensional vascular model from medical images, calculating flow index values, and displaying both instantaneous and distal FFR values, along with a QR code generation to securely share cardiac analysis without PHI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used for sharing cardiac analysis, then patient privacy is compromised through exposure of protected health information (PHI), but secure sharing capability is insufficient
Solution Approach 1:
The system extracts and removes protected health information (PHI) from cardiac analysis data before sharing. The de-identification process separates sensitive patient identifiers from the essential cardiac assessment data, allowing secure sharing while maintaining privacy protection.
Solution Approach 2:
The system creates a de-identified copy of the cardiac analysis for sharing purposes. Instead of sharing the original data containing PHI, a replicated version with sensitive information removed is generated and shared through QR codes, preserving the utility of the data while protecting patient identity.
2Measurement precision
If detailed flow index values are displayed for multiple locations along vessels, then vascular assessment precision is improved, but information processing complexity increases
Solution Approach 1:
The system segments the vascular assessment by calculating flow index values at multiple discrete locations along vessels (designated, mid-vessel, and distal locations). This segmentation allows precise measurement at key points while managing computational complexity through structured, location-based analysis.
Solution Approach 2:
The three-dimensional vascular model serves multiple functions simultaneously: it visualizes vessel anatomy, displays flow index values at multiple locations, and enables comparison of hemodynamic parameters. This multi-functionality consolidates several assessment tasks into a single integrated system.
3Loss of information
If QR codes encode comprehensive cardiac analysis data, then data sharing completeness is improved, but QR code size and scanning complexity increase
Solution Approach 1:
The system creates a condensed digital representation (copy) of the cardiac analysis that fits within QR code capacity. Instead of encoding complete high-resolution datasets, a simplified copy containing essential de-identified findings is generated for QR code sharing.
Solution Approach 2:
The system extracts only the essential cardiac assessment findings needed for sharing, removing redundant or overly detailed data. This extraction process reduces the data volume to fit QR code constraints while preserving the core diagnostic information.
Data Source
AI summary
Systems and methods for secure sharing of cardiac assessments using QR codes. An example method may include presenting a cardiac analysis on a user interface; receiving, on the user interface, user input to display at least one QR code configured to share the cardiac analysis; in response to the input, generating the at least one QR code which encodes at least a portion of the cardiac analysis and removes protected health information (PHI), wherein the portion includes one or more of a screenshot or a report associated with the cardiac analysis; and displaying the at least one QR code on the user interface.