Blockchain technology in the healthcare industry: Trends and opportunities

Hussien, Hassan Mansur; Yasin, Sharifah Md; Udzir, Nur Izura; Ninggal, Mohd Izuan Hafez; Salman, Sadeq

doi:10.1016/j.jii.2021.100217

Cited by 126 publications

(74 citation statements)

References 82 publications

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“…The study [ 13 ] reviews the use of blockchain technology in the field of healthcare. This study discusses potential challenges such as scalability and storage capacity, blockchain size, global interoperability, and standardization.…”

Section: Related Workmentioning

confidence: 99%

Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning

Al-Safi

Munilla

Rahebi

2022

Multimed Tools Appl

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A medical center in the smart cities of the future needs data security and confidentiality to treat patients accurately. One mechanism for sending medical data is to send information to other medical centers without preserving confidentiality. This method is not impressive because in treating people, the privacy of medical information is a principle. In the proposed framework, the opinion of experts from other medical centers for the treatment of patients is received and consider the best therapy. The proposed method has two layers. In the first layer, data transmission uses blockchain. In the second layer, blocks related to patients’ records analyze by machine learning methods. Patient records place in a block of the blockchain. Block of patient sends to other medical centers. Each treatment center can recommend the proposed type of treatment and blockchain attachment and send it to all nodes and treatment centers. Each medical center receiving data of the patients, then predicts the treatment using data mining methods. Sending medical data between medical centers with blockchain and maintaining confidentiality is one of the innovations of this article. The proposed method is a binary version of the HHO algorithm for feature selection. Another innovation of this research is the use of majority voting learning in diagnosing the type of disease in medical centers. Implementation of the proposed system shows that the blockchain preserves data confidentiality of about 100%. The reliability and reliability of the proposed framework are much higher than the centralized method. The result shows that the accuracy, sensitivity, and precision of the proposed method for diagnosing heart disease are 92.75%, 92.15%, and 95.69%, respectively. The proposed method has a lower error in diagnosing heart disease from ANN, SVM, DT, RF, AdaBoost, and BN.

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Section: Related Workmentioning

confidence: 99%

Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning

Al-Safi

Munilla

Rahebi

2022

Multimed Tools Appl

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“…Zhang et al have integrated the features of edge computing and Blockchain which is used to assure data transfer reliability in the IoT domain and explained how Blockchain and edge computing may be used to create a distributed and trustworthy system with authentication [17]. Hussien et al have emphasised the incentives for using blockchain machinery in the healthcare systems and addressed the potential challenge of the Blockchain technology [18]. Khatoon et al have reviewed present Blockchain study in the medical industry and established an Ethereum-based medical management solution and several medical processes are generated for various medical management application domains [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

Christo

Jesi

Priyadarsini

et al. 2021

Security and Communication Networks

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Hospital data management is one of the functional parts of operations to store and access healthcare data. Nowadays, protecting these from hacking is one of the most difficult tasks in the healthcare system. As the user’s data collected in the field of healthcare is very sensitive, adequate security measures have to be taken in this field to protect the networks. To maintain security, an effective encryption technology must be utilised. This paper focuses on implementing the elliptic curve cryptography (ECC) technique, a lightweight authentication approach to share the data effectively. Many researches are in place to share the data wirelessly, among which this work uses Electronic Medical Card (EMC) to store the healthcare data. The work discusses two important data security issues: data authentication and data confidentiality. To ensure data authentication, the proposed system employs a secure mechanism to encrypt and decrypt the data with a 512-bit key. Data confidentiality is ensured by using the Blockchain ledger technique which allows ethical users to access the data. Finally, the encrypted data is stored on the edge device. The edge computing technology is used to store the medical reports within the edge network to access the data in a very fast manner. An authenticated user can decrypt the data and process the data at optimum speed. After processing, the updated data is stored in the Blockchain and in the cloud server. This proposed method ensures secure maintenance and efficient retrieval of medical data and reports.

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“…Blockchain technology is proposed to overcome the security challenges in order to secure the data and its privacy [21]. Blockchain is known to be providing a dual layer of authenticity to the system using the cryptographic hash functions [22], [23]. Blockchain works on the principle of encrypting and decrypting for providing security to the system [24], [15].…”

Section: ) Blockchain-based Intelligent Monitored Security Systemmentioning

confidence: 99%

Blockchain-based Intelligent Monitored Security System for Detection of Replication Attack in the Wireless Healthcare Network

Warraich

Singh

Thapa

2021

EJ-ENG

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Wireless sensor networks have revolutionized the way healthcare works replacing the traditional methods with sensor-enabled IoT devices that help in monitoring the data. The data is collected by these sensors that are there on the body of the user, the data is transmitted over the network to the healthcare monitoring systems. The transmission follows the route of the wireless channel that is not secure as it can be accessed by legitimate as well as illegitimate users. These pose security threats; one such attack is a replication attack. This makes the replicas of the original node, replaces the data with the malicious content for attacking the system, and deploys the node back to the network making it difficult to detect. The aim of the work is to review the Blockchain-based intelligent monitored security system for the detection of replication attacks in the wireless healthcare network. The method used for review is the secondary research method. The main focus of the work is kept on the literature review for obtaining insights and knowledge. The results show that blockchain provides the required security to the data carried by the sensor-enabled IoT. The result contributed to the understanding of the different blockchain techniques in securing data. The system component is farmed in the work and verified in the results.

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Blockchain technology in the healthcare industry: Trends and opportunities

Cited by 126 publications

References 82 publications

Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning

Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning

Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

Blockchain-based Intelligent Monitored Security System for Detection of Replication Attack in the Wireless Healthcare Network

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