ARCHIVES

Original Article

Encrypted Cloud Based Health Appointment System Using AI

Dhanashree J. Thakre1Vinay D. Bisane2Bhagyashree Kumbhare3Yamini Kanekar4

¹²Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. ³HOD, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. ⁴Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.

Published Online: May-August 2025

Pages: 109-115

Abstract

In the current healthcare landscape, managing patient appointments efficiently and securely is essential. Traditional appointment systems often face challenges such as inefficiencies, human error, and vulnerabilities in security. This paper introduces an innovative Smart and Secure Medical Appointment Platform that integrates Artificial Intelligence (AI) for intelligent scheduling and management, alongside encrypted cloud storage to ensure strong data protection. The AI system enhances the user experience by providing personalized recommendations, optimizing appointment scheduling based on past data, and forecasting potential cancellations or delays. At the same time, the platform ensures complete encryption of sensitive patient data, protecting it from unauthorized access and cyber threats. By combining AI with advanced cloud security protocols, the proposed solution aims to improve healthcare access, streamline medical facility operations, and maintain rigorous standards for data privacy and protection. Designed with scalability, user-friendliness, and compliance with regulations such as HIPAA and GDPR, this system offers a forward-thinking approach to transforming appointment management in the digital age.

Related Articles

2025

Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions

2025

Exploring AI Techniques for Quantum Threat Detection and Prevention

2025

INSPIRO: An AI Driven Institution Auditor

2025

Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems

2025

Predictive Modeling for College Admission Using Machine Learning and Statistical Methods

2025

Agricultural Products: CVF Yield Prediction Using Ensemble Methods and Machine Learning Models

2025

Identifying and Forecasting Wastewater Pollutions Wring IOT & NLP

2025

The Lung Cancer Prediction System Improves the Early Diagnosis of Lung Cancer by Using an Artificial Neural Network (ANN) Algorithm

2025

Bike Rental Management System

2025

Enhanced Maritime Surveillance Detecting Intentional AIS Shutdown in Open Seas Using Hybrid Self- Supervised Deep Learning and Anomaly Detection