Blockchain-based Intelligent Hospital Security and Data Privacy Construction

Huang, Qiuzi; Chen, Shuyu; Zhao, Hui; Wen, Junhao

doi:10.1088/1742-6596/1187/5/052064

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The timestamp imbedded in each block is used to enhance security of each block. The timestamp confirms existence of certain data in particular time period [12], [13].…”

Section: Introductionsupporting

confidence: 65%

Patient data management using blockchain technology

Bidve,

Kakakde,

Sarasu

et al. 2023

IJEECS

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<span>The patient data management is an essential component of healthcare systems, the secure and efficient data processing is important for the medical data. Data security, interoperability and privacy are the key requirements of data storage systems of healthcare organizations. The electronic medical records have become a key technique to maintain patient information in hospitals due to the technology revolution. Some hospital systems are also using server-based patient detail management systems, they require considerable storage to record all of the patient's medical reports, limiting scalability. They are facing difficulties, including interoperability, security and privacy worries, cyberattacks on centralized storage, and maintaining medical policy compliance simultaneously. The blockchain technology has come up with solution having decentralized and irreversible data storage. A distributed secure ledger of blockchain is the solution, enabling safe storage and retrieval of data. The proposed work yields effectively deployed smart contracts based on the system's functions, real-time patient health monitoring. The main goal of this system is to bring the whole medical data together on a single platform, employing a secured decentralized approach to store and retrieve medical information effectively.</span>

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“…The timestamp imbedded in each block is used to enhance security of each block. The timestamp confirms existence of certain data in particular time period [12], [13].…”

Section: Introductionsupporting

confidence: 65%

Patient data management using blockchain technology

Bidve,

Kakakde,

Sarasu

et al. 2023

IJEECS

View full text Add to dashboard Cite

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“…Factors affecting financial market behavior include relevant market behavior (such as gold market, foreign exchange market, bond, and stock market, and interest rate market), macroeconomic conditions, politics and policies, industrial structure, international situations and affairs, and human psychology factors. The financial industry is an industry that highly needs information resources, and the intelligent information processing technology of financial data analysis provides the theoretical framework of data analysis for modern financial theory [28]. Therefore, it is of great significance to integrate the intelligent signal processing system into the training of graduate students in finance.…”

Section: Introductionmentioning

confidence: 99%

The Cross-Postgraduate Training Mode Driven by Intelligent Signal Processing Technology: Taking the Major of Finance as an Example

Zou

Zhang

2022

Advances in Mathematical Physics

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At present, various economic and social problems have become more complex, requiring a multidisciplinary perspective to seek solutions, and thus more complex and innovative talents are needed. Deepening the reform of postgraduate interdisciplinary education, improving the quality of postgraduate interdisciplinary education, and cultivating high-level technical talents with a multidisciplinary background, innovation ability and comprehensive quality have also become the core issues to be solved urgently in postgraduate education. This paper takes the interdisciplinary training mode of postgraduates in finance as the research object and uses interdisciplinary education theory, systems science theory, and higher education theory to explore the components and main characteristics of the postgraduate interdisciplinary training mode. On this basis, this paper investigates the current situation of interdisciplinary training of postgraduates in finance in Chinese universities and then analyzes and discusses the problems existing in the current mode of interdisciplinary cultivation of postgraduates in finance in my country. Finally, based on the above research results, relevant suggestions for improving the interdisciplinary training of postgraduates in finance in my country are put forward. The research results show that postgraduate interdisciplinary training is a new form of talent training that readjusts the source and composition of each training link after introducing the concept of interdisciplinary education. The components of the postgraduate interdisciplinary training model include interdisciplinary support elements and postgraduate training elements. The former provides interdisciplinary external support for postgraduate training, and the latter constitutes the main content of postgraduate interdisciplinary training. The research results can be used to guide the interdisciplinary educational practice of other types of postgraduates and provide certain theoretical and empirical references for cultivating more high-level compound talents urgently needed by society.

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