Introduction

In today's digital healthcare environment, managing Electronic Health Records (EHR) securely is vital for patient data protection and trust in healthcare systems. This project aims to create a cloud-based EHR system with a focus on robust API security to meet industry regulations and enhance user experience for healthcare professionals.

Problem Statement

API security in healthcare applications is often insufficient, leading to vulnerabilities that can expose sensitive patient information. As healthcare systems increasingly rely on digital solutions, implementing a secure, reliable API for managing patient data is essential. The objective of this project is to secure the backend API of the EHR system against unauthorized access, SQL injection, and DDoS attacks, ensuring that patient data remains private and compliant with healthcare regulations.

Techniques Used

The secure API implementation incorporates:

Input Validation: Each API request undergoes rigorous validation to protect against injection attacks.

Rate Limiting: By controlling the number of requests per user, this approach prevents DDoS attacks and unauthorized access attempts.

Access Control: Role-based access ensures that only authorized users can view or modify specific data, minimizing the risk of exposure.

Tools Used

Platform: AWS

Backend Framework: Node.js, Express

Database: PostgreSQL with Sequelize ORM

Programming Language: JavaScript

Conclusion and Future Outlook

The secure API implementation significantly enhances the protection of sensitive patient data in the EHR system. By focusing on input validation, rate limiting, and access control, this project addresses critical vulnerabilities and creates a secure environment for healthcare data management.

Future development will include the integration of machine learning algorithms to proactively monitor and detect anomalies in real-time, adding an extra layer of security to the EHR system. Additionally, incorporating OAuth 2.0 for user authentication will further strengthen system security and compliance with regulatory standards.

Secure API Implementation for Robust EHR Management in Cloud-Based Healthcare Systems.

Introduction

Problem Statement

Techniques Used

Tools Used

Conclusion and Future Outlook

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Joydeep Das

HPC & Physics Researcher | Plasma Simulations | Machine Learning