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

Author:

Panwar Arvind1ORCID,Bhatnagar Vishal2ORCID,Khari Manju3ORCID,Salehi Ahmad Waleed4ORCID,Gupta Gaurav5

Affiliation:

1. University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University, Delhi, India

2. Netaji Subhas University of Technology (East Campus), Geeta Colony, Delhi, India

3. Jawaharlal Nehru University, Delhi, India

4. Rana University, Kabul, Afghanistan. Yogananda School of Artificial Intelligence, Computers and Data Science, Shoolini University, Solan 173229, Himachal Pradesh, India

5. Yogananda School of Artificial Intelligence, Computers and Data Science, Shoolini University, Solan 173229, Himachal Pradesh, India

Abstract

The health system in today’s real world is significant but difficult and overcrowded. These hurdles can be diminished using improved health record management and blockchain technology. These technologies can handle medical data to provide security by monitoring and maintaining patient records. The processing of medical data and patient records is essential to analyze the earlier prescribed medicines and to understand the severity of diseases. Blockchain technology can improve the security, performance, and transparency of sharing the medical records of the current healthcare system. This paper proposed a novel framework for personal health record (PHR) management using IBM cloud data lake and blockchain platform for an effective healthcare management process. The problem in the blockchain-based healthcare management system can be minimized with the utilization of the proposed technique. Significantly, the traditional blockchain system usually decreases the latency. Therefore, the proposed technique focuses on improving latency and throughput. The result of the proposed system is calculated based on various matrices, such as F1 Score, Recall, and Confusion matrices. Therefore, the proposed work scored high accuracy and provided better results than existing techniques.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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