Framework for Secure and Data-Driven Health Management

Topic Name:

Framework for Secure and Data-Driven Health Management

Acronyms of Topic Name- NA

Visual Abstract Image

Objectives

1. Develop a framework to securely store and manage sensitive patient information, ensuring compliance with privacy regulations (e.g., HIPAA, GDPR).

1. Develop robust encryption-based solutions to safeguard sensitive healthcare data against cyberattacks.
2. Analyzing healthcare data to support decision-making like early diagnosis, and personalized treatments, without compromising patient confidentiality.

Issues Involved

Objective 1

• Different regions have varying regulations (e.g., HIPAA in the U.S., GDPR in Europe), and ensuring compliance across multiple jurisdictions is difficult.
• Frequent updates to privacy regulations require continuous monitoring and system updates, increasing operational overhead.

Objective 2

• Implementing robust encryption for data at rest and in transit can be computationally expensive, particularly for large datasets.
• Secure key management for encryption keys is a critical challenge, as losing keys can result in data inaccessibility.

Objective 3

• The volume of healthcare data is vast, ranging from patient records to imaging files and real-time sensor data.
• Processing and analyzing this data at scale, while maintaining privacy, can strain computational resources.

Team Lead

Name Prof. Deepa Krishnan

Email Deepa.krishnan@nmims,edu

Team Members

Dr. Deepti Reddy

Deepti.reddy@nmims,edu

Dr. Diksha Joshi

Diksha,joshi@nmims.edu