A Blockchain Framework to Secure Personal Health Record (PHR) in IBM Cloud-Based Data Lake

Area of Science:

• Health Informatics
• Computer Science
• Data Security

Background:

• Healthcare systems face challenges with data management, security, and efficiency.
• Current systems struggle with processing and analyzing patient records effectively.
• Blockchain technology offers potential for secure and transparent medical data sharing.

Purpose of the Study:

• To propose a novel framework for personal health record (PHR) management.
• To enhance the security, performance, and transparency of healthcare data.
• To address limitations in traditional blockchain systems, specifically latency and throughput.

Main Methods:

• Development of a novel framework for PHR management.
• Utilizing IBM cloud data lake and a blockchain platform.
• Focusing on improving latency and throughput in blockchain-based systems.

Main Results:

• The proposed framework effectively manages personal health records.
• Improved security, performance, and transparency in healthcare data sharing.
• Achieved high accuracy, F1 Score, Recall, and favorable Confusion matrices compared to existing techniques.

Conclusions:

• The proposed blockchain framework offers an effective solution for healthcare management.
• The technique successfully minimizes problems in blockchain-based healthcare systems.
• The system demonstrates superior performance in terms of accuracy, latency, and throughput.