University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University, Delhi, India.
Netaji Subhas University of Technology (East Campus), Geeta Colony, Delhi, India.
Comput Intell Neurosci. 2022 Apr 12;2022:3045107. doi: 10.1155/2022/3045107. eCollection 2022.
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.
当今现实世界中的医疗体系意义重大,但也面临困难和拥挤等问题。通过改进健康记录管理和区块链技术,可以减少这些障碍。这些技术可以处理医疗数据,通过监控和维护患者记录来提供安全性。处理医疗数据和患者记录对于分析之前开具的药物以及了解疾病的严重程度至关重要。区块链技术可以提高当前医疗保健系统中医疗记录共享的安全性、性能和透明度。本文提出了一种使用 IBM 云数据湖和区块链平台进行个人健康记录(PHR)管理的新框架,以实现有效的医疗保健管理流程。通过利用所提出的技术,可以最小化基于区块链的医疗保健管理系统中的问题。重要的是,传统的区块链系统通常会降低延迟。因此,所提出的技术侧重于提高延迟和吞吐量。所提出系统的结果是基于各种矩阵计算的,例如 F1 得分、召回率和混淆矩阵。因此,与现有技术相比,所提出的工作具有更高的准确性,并提供了更好的结果。