Blockchain AI Framework for Healthcare Records Management: Constrained Goal Model

Wehbe, Youssef; Za’abi, Mohammed Al; Svetinovic, Davor

doi:10.1109/telfor.2018.8611900

Cited by 39 publications

(16 citation statements)

References 19 publications

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“…These are the changes for constructing real-time interactive systems (92). The combination of AI units, IoT devices and 5G communication services can transform the traditional healthcare scenario into a new scenario (Table 3) (94,(111)(112)(113)(114)(115). AI and 5G communication can assist clinicians and nurses by providing remote care settings directly to the patients (116).…”

Section: Functions and Applicationsmentioning

confidence: 99%

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

Guo

Hong

2022

Front. Public Health

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The medical and healthcare industry is currently developing into digitization. Attributed to the rapid development of advanced technologies such as the 5G network, cloud computing, artificial intelligence (AI), and big data, and their wide applications in the medical industry, the medical model is shifting into an intelligent one. By combining the 5G network with cloud healthcare platforms and AI, nursing robots can effectively improve the overall medical efficacy. Meanwhile, patients can enjoy personalized medical services, the supply and the sharing of medical and healthcare services are promoted, and the digital transformation of the healthcare industry is accelerated. In this paper, the application and practice of 5G network technology in the medical industry are introduced, including telecare, 5G first-aid remote medical service, and remote robot applications. Also, by combining application characteristics of AI and development requirements of smart healthcare, the overall planning, intelligence, and personalization of the 5G network in the medical industry, as well as opportunities and challenges of its application in the field of nursing are discussed. This paper provides references to the development and application of 5G network technology in the field of medical service.

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Section: Functions and Applicationsmentioning

confidence: 99%

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

Guo

Hong

2022

Front. Public Health

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“…Then the health professionals can easily access the patient data efficiently and securely. 198 Multiple authors, 72,91,117,120,131,143,[198][199][200][201] have submitted their work on reinforcing the healthcare system's security by using blockchain in the form of secured EHRs.…”

Section: Use Of Tokenmentioning

confidence: 99%

“…In particular, Google's Certificate Transparency † † † † offers a structure for real-time SSL (Secure Socket Layer) certificates for tracking and auditing. Multiple authors, 72,91,117,120,131,143,[198][199][200][201] have submitted their work on reinforcing the healthcare system's security by using blockchain in the form of secured EHRs. Data Integrity is crucial for IoMT devices as they involve the usage of the third-parties.…”

Section: Securitymentioning

confidence: 99%

A comprehensive review on blockchain and Internet of Things in healthcare

Sharma

Kaur

Singh

2021

Trans Emerging Tel Tech

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Blockchain Technology, the fundamental technology behind Bitcoin, has drawn considerable recognition ever since its origin. Its potential has gained significant interest in various applications, varying from the music industry, financial services, Internet-of-Things (IoT), smart grid, edge computing, cybersecurity, and the healthcare industry. However, the information is divided amongst several intermediaries involved with adverse impacts on data quality in the healthcare domain. In the near future, blockchain technology can reshape the way the healthcare industry works by providing personalized and reliable patient data management, reforming the traditional healthcare practices, secure mechanisms for data sharing, efficient pharmaceutical supply chain management, and drug traceability and many more. In this study, an extensive literature review has been provided that includes the different prospects of using blockchain technology in healthcare. The review investigates the work done to enable the amalgamation of IoT and Blockchain in the health ecosystem. Significant blockchain-based healthcare use cases such as data storage, data sharing, drug traceability, clinical trials, and remote patient monitoring are investigated. Further, the Internet of Things and blockchain technology-based SWOT (Strength, Weakness, Opportunity, and Threat) analysis and the challenges linked in the healthcare domain because of the enactment of IoT and blockchain technology are discussed to support advanced studies in this domain.

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“…Privacy Protection [12,[15][16][17][18][19] Personal data management platform focused on personal information protection Access Control [18][19][20][21][22][23] Address data protection and privacy access control issues…”

Section: Purpose List Summarymentioning

confidence: 99%

“…Jabarulla et al [18] proposed a decentralized patient-centered image management approach as an efficient data sharing of medical big data in an unreliable environment using blockchain and IPFS (Inter Planetary File System) technology. Wehbe et al [19] proposed a safe management and efficient data integration model using blockchain and AI for the Electronic Healthcare Records (EHR) platform. It effectively tracks the use of patient data and securely maintains data provider ownership through patient-centric access control.…”

Section: Purpose List Summarymentioning

confidence: 99%

DeepBlockShield: Blockchain Agent-Based Secured Clinical Data Management Model from the Deep Web Environment

Kim

2021

Mathematics

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With the growth of artificial intelligence in healthcare and biomedical research, many researchers are interested in large amounts of data in hospitals and medical research centers. Then the need for remote medicine services and clinical data utilization are expanding. However, since the misuse and abuse of clinical data causes serious problems, the scope of its use is bound to have a limited range physically and logically. Then a security-enhanced data distribution system for medical deep web environments. Therefore, in this paper, we propose a blockchain-based clinical data management model named DeepBlockshield to prevent information leakage between the deep web and the surface web. Blockchain supports data integrity and user validation to support data sharing in closed networks. Meanwhile, the agent performs integrity verification between the blockchain and the deep web and strengthens the security between the surface web and the deep web. DeepBlockShield verifies the user’s validity through the records of the deep web and blockchain. Furthermore, we wrap the results analyzed by the valid request into a web interface and provide information to the requester asynchronously. In the experiment, the block generation cycle and size on the delay time was analyzed for verifying the stability of the blockchain network. As a result, it showed that the proposed approach guarantees the integrity and availability of clinical data in the deep web environment.

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Blockchain AI Framework for Healthcare Records Management: Constrained Goal Model

Cited by 39 publications

References 19 publications

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

A comprehensive review on blockchain and Internet of Things in healthcare

DeepBlockShield: Blockchain Agent-Based Secured Clinical Data Management Model from the Deep Web Environment

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