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Digital Health Recrd Management System for Migrant Workers

Authors

Shatrughn Kumar

B. Tech (CSE) -Final Year Student,Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (IN)

Surya Pratap Singh Solanki

Project Supervisor, Assistant Professor, Dept. of Computer Science & Engineering,IIMT College of Engineering, Greater Noida, UP, India (IN)

Vikash Kumar

B. Tech (CSE) -Final Year Student,Dept Computer Science & Engineering, IIMT College of Engineering, Greater Noida (IN)

Dr. Mahendra Sharma

Project Supervisor, Assistant Professor, Dept. of Computer Science & Engineering,IIMT College of Engineering, Greater Noida, UP, India (IN)

Mr. Badal Bhushan

Project Supervisor, Assistant Professor, Dept. of Computer Science & Engineering,IIMT College of Engineering, Greater Noida, UP, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150300085

Subject Category: healthcare

Volume/Issue: 15/3 | Page No: 981-999

Publication Timeline

Submitted: 2026-04-18

Published: 2026-04-17

Abstract

Migrant workers face significant challenges in maintaining continuous and accessible healthcare records due to frequent relocation, limited infrastructure, and reliance on paper-based systems. These issues often lead to loss of medical history, repeated diagnostic procedures, increased healthcare costs, and delays in treatment. Existing digital healthcare solutions, including cloud-based and blockchain-based systems, are often unsuitable for low-resource environments due to their dependence on continuous internet connectivity, high implementation cost, and complex infrastructure requirements.


This paper proposes a Digital Health Record Management System based on a client-first architecture that enables offline data storage and retrieval directly on the user’s device. The system integrates QR-based identification for instant access to patient records, multilingual support for improved usability, and lightweight data management techniques suitable for low-resource settings. Unlike traditional systems, the proposed approach eliminates dependency on centralized servers and provides a portable and cost-effective solution tailored for migrant populations.


Experimental evaluation using a simulated dataset demonstrates that the system reduces data retrieval time from approximately 15–20 seconds to 2–3 seconds, achieving an improvement of nearly 70–80%. Additionally, the system ensures 100% offline accessibility and minimizes the risk of data loss associated with physical records. Usability testing indicates improved efficiency, faster navigation, and ease of use for non-technical users.


The proposed system highlights the potential of client-side digital healthcare solutions in improving accessibility, efficiency, and continuity of care in underserved environments. It also provides a scalable foundation for future enhancements, including cloud integration, advanced security mechanisms, and healthcare interoperability standards.

Keywords

Digital Health Records, Migrant Workers, Offline System, QR Code, Client-First Architecture, Healthcare Accessibility

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References

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