Design and validation of a multi-dimensional embedded quick response code system for compressed and encrypted electronic medical record integration

A BSTRACT Objectives: To develop and validate a multi-dimensional embedding (MDE)-based quick response (QR) system that enhances storage capacity, ensures mathematical reversibility, and provides structural data concealment without altering standard QR specifications. Materials and Methods: A four-dimensional embedding function with multi-axis projection was designed to merge multiple binary QR layers into a single grayscale QR structure. Eight simulated electronic medical record (EMR) datasets were encoded into version 10 (57 × 57 modules), error correction code level H QR codes, and merged via the MDE algorithm. Inverse decoding was performed to reconstruct each layer. Evaluation included capacity improvement, decoding accuracy, readability testing using standard scanners, and mobile application validation. Results: Eight QR layers were successfully integrated into one grayscale QR, achieving an eightfold theoretical capacity increase with linear scalability. Reconstruction accuracy reached 100%, with restored matrices identical to original data. Standard scanners failed to decode the merged QR (100% failure rate), demonstrating structural concealment. Conclusion: The MDE-based QR framework overcomes traditional capacity limitations while maintaining complete reversibility and structural security. It enables multilayer EMR integration within a single carrier and supports secure, offline healthcare data access, providing a scalable extension of conventional QR technology for intelligent medical information management.

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Publication Details

Journal
Tzu Chi Medical Journal
Published
2026-09-17
DOI
https://doi.org/10.4103/tcmj.tcmj-d-26-00047
Primary Topic
QR Code Applications and Technologies
Type
article
Field-Weighted Citation Impact
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article

Design and validation of a multi-dimensional embedded quick response code system for compressed and encrypted electronic medical record integration

Pei‐Yun Cheng, Huai-Yi Chen, Yu-Jen Hu, Yen-Chen Huang et al.
Tzu Chi Medical Journal
QR Code Applications and Technologies
article

Design and validation of a multi-dimensional embedded quick response code system for compressed and encrypted electronic medical record integration

Pei‐Yun Cheng, Huai-Yi Chen, Yu-Jen Hu, Yen-Chen Huang, Ching-Ti Chou
article en

Abstract

A BSTRACT Objectives: To develop and validate a multi-dimensional embedding (MDE)-based quick response (QR) system that enhances storage capacity, ensures mathematical reversibility, and provides structural data concealment without altering standard QR specifications. Materials and Methods: A four-dimensional embedding function with multi-axis projection was designed to merge multiple binary QR layers into a single grayscale QR structure. Eight simulated electronic medical record (EMR) datasets were encoded into version 10 (57 × 57 modules), error correction code level H QR codes, and merged via the MDE algorithm. Inverse decoding was performed to reconstruct each layer. Evaluation included capacity improvement, decoding accuracy, readability testing using standard scanners, and mobile application validation. Results: Eight QR layers were successfully integrated into one grayscale QR, achieving an eightfold theoretical capacity increase with linear scalability. Reconstruction accuracy reached 100%, with restored matrices identical to original data. Standard scanners failed to decode the merged QR (100% failure rate), demonstrating structural concealment. Conclusion: The MDE-based QR framework overcomes traditional capacity limitations while maintaining complete reversibility and structural security. It enables multilayer EMR integration within a single carrier and supports secure, offline healthcare data access, providing a scalable extension of conventional QR technology for intelligent medical information management.

Tzu Chi Medical Journal
National Tainan Institute of Nursing (TW), Tzu Chi University (TW), National Center for High-Performance Computing (TW)
Openalex Percentile: Top 4%
QR Code Applications and Technologies
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Design and validation of a multi-dimensional embedded quick response code system for compressed and encrypted electronic medical record integration — Pei‐Yun Cheng, Huai-Yi Chen, et al. · Tzu Chi Medical Journal (2026) | TGRS Research Map | TGRS