Abstract :

Efficient Management Of Patient Data And Secure Handling Of Sensitive Information Are Critical In Modern Healthcare Systems. This Project Proposes A Hospital Management System Integrated With Deep Learning And Optical Character Recognition (OCR) Techniques To Automate Patient Identification And Data Processing. The System Utilizes YOLO (You Only Look Once) CNN Algorithm To Detect Aadhaar Card Regions And Applies OCR To Extract Aadhaar Numbers. To Ensure Privacy, The Aadhaar Number Is Masked When Displayed To Doctors And Unmasked Only For Administrators. The System Supports Multiple Users Including Patients, Doctors, Insurance Providers, And Administrators. Patients Can Register, Upload Medical History, Book Appointments, And View Prescriptions. Doctors Can Manage Appointments, Access Patient Records, And Generate Prescriptions. Insurance Users Can Verify Billing Details, While Administrators Manage System Data And User Access. The Application Is Implemented Using Python, MySQL, And Deep Learning Frameworks. Experimental Results Show High Accuracy In Aadhaar Detection And Extraction, Improving Efficiency And Security. The System Provides A Scalable And Intelligent Solution For Healthcare Management.

Published:

08-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1800-1806

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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