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Original Article

Healthy Chronicle: A Secure Digital Platform for Patient Record Management

  • Paper ID 243
  • Volume 5, Issue 6
  • Pages 32-38
  • Published Online: November-December 2025
  • 18 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • A. Suresh Kumar1
  • Nadeem Ahmed J2
  • Sreenivasan T3
  • HariHaran.K4
  • Saajid S.A5

1 Assistant Professor, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India.

Article Information

Published Online
November-December 2025
Pages
32-38
Article Type
Original Article
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Abstract

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The increasing need for accurate, accessible medical information has made efficient patient history management essential for modern healthcare. This project presents Healthy Chronicle: A Secure Digital Platform for Patient Record Management, a secure web application built entirely with Java (backend) and HTML + CSS (frontend) for tracking, managing, and visualizing patient medical histories. The system centralizes patient records, allows clinicians to log encounters and prescriptions, and provides chronological timelines and search capabilities to retrieve relevant past events quickly. Core functionality includes role-based access control, audit logging of edits, and automated flagging of critical events (e.g., allergies vs medication conflicts). The backend, developed using Java (Servlets or Spring Boot), handles authentication, data validation, and business logic; it also exposes RESTful endpoints consumed by a responsive HTML/CSS frontend. Data is persisted in a relational database (SQLite/MySQL) with an efficient schema optimized for temporal queries. The design emphasizes privacy, integrity, and simplicity: only authorized users can view or modify records, and all changes are tracked. Key features include timeline visualization of patient history, quick keyword search, exportable reports (CSV/PDF), and a module for predictive risk flags using medical-rule heuristics. The system is modular to allow future integration of machine learning models or hospital information systems. Built with commonly taught technologies, this project demonstrates practical software engineering, secure data handling, and user-centred design suitable for clinical workflows

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  • CrossRef DOI
  • ISSN 2583-1240
  • Open Access
  • Peer Reviewed
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