Blockchain Technology for Embracing Healthcare 4.0

Abbate, Stefano; Centobelli, Piera; Cerchione, Roberto; Oropallo, Eugenio; Riccio, Emanuela

doi:10.1109/tem.2022.3212007

Cited by 26 publications

(14 citation statements)

References 78 publications

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“…In the second stage, user nodes selectively generate transactions based on the unit byte fee and unit byte compensation, combined with their own situations. In the third stage, cloud 8 Mining node revenue is allocated by the system and can be considered as overall balanced income and expenditure, therefore not included in the consideration of social welfare.…”

Section: System Designermentioning

confidence: 99%

Game Theory based Incentive Mechanism Design and Analysis for the Public EVONChain

Li,

Xie,

Liu

2024

Preprint

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Incentive mechanisms serve as the driving force behind blockchain operations, bearing significant implications for the practical applications of blockchain technology. However, existing incentive mechanisms predominantly focus on incentivization from a monetary perspective, with minimal incorporation of punitive measures, thus exhibiting limited efficacy in regulating system entities. Furthermore, the assurance of providing adequate incentives for the full nodes of the system cannot be guaranteed, potentially resulting in node attrition and posing threats to blockchain security. In this paper, we propose EVONIncentive, a hybrid incentive scheme based on game theory for the bi-tiered public blockchain called EVONChain. It adopts a hybrid incentive form of monetary and reputation, introducing fee selection mechanisms, compensation mechanisms, and supervisory penalty mechanisms to ensure the sustainability, fairness, and security of the Blockchain system. Two Stackelberg dynamic game models are constructed based on different issues, and through algorithm design and mathematical derivation, the optimal incentive allocation is obtained. Finally, through numerical simulation experiments, the specific values of relevant parameters such as mining rewards, transaction fee, and compensation are determined. A comparative experiment with the Ethereum 1.0 incentive mechanism is implemented. The results show that EVONIncentive has significant advantages over Ethereum 1.0 incentive mechanism in terms of system social welfare, user income gap, and fairness.

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Section: System Designermentioning

confidence: 99%

Game Theory based Incentive Mechanism Design and Analysis for the Public EVONChain

Li,

Xie,

Liu

2024

Preprint

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“…For fashion companies, blockchain can provide a record storage function that allows verification of product authenticity and sustainability. For healthcare organizations, the blockchain platform can facilitate efficient management of health data through big data and other innovative methods, improving efficiency and achieving synchronization at the same time (Abbate et al, 2022). Therefore, the application of digital technology can improve the efficiency of production process and enterprise decision‐making.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Can business managerial capacity improve green innovation in different industries? Evidence from Chinese listed companies

Hao,

Wen,

Zhu

et al. 2023

Bus Strat Env

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As the backbone of the national innovation system, enterprises are the key drivers of economic development and environmental sustainability. However, at the microlevel, research in this area is lacking, as attention is paid on the comprehensive capabilities of top managers, industrial heterogeneity, and heterogeneous green innovation (GI), including inventive innovation and utility innovation. Based on Upper Echelons Theory, this paper constructs a research framework to explore and empirically analyze the specific impact of managerial capacity (MA) of top managers, as “gatekeepers” of enterprise decision‐making, on the heterogeneous enterprise GI, as well as its potential mechanism. Our results shows that (1), overall, MA can significantly promote GI of enterprises. Interestingly, compared with green strategic innovation, managerial capacity has a greater effect on green inventive innovation; (2) based on industrial heterogeneity, in heavy‐polluting industries, managerial capacity is more likely to promote green strategic innovation rather than green inventive innovation; (3) further analysis shows that enterprise value, internal control quality, and financing constraints are important mechanisms; and (4) the moderating effect of external environment shows that to some extent either the regional marketization level or management capabilities can drive GI. This paper has practical implications for policymakers and corporate managers adopting the management heterogeneity perspective and suggests areas for future studies in this field to promote green low‐carbon transition.

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“…The PHT aims to establish FAIR data stations that can be governed by data holders and accessed by analysts whereas trains travel from station to station carrying algorithms that are executed in the FAIR data stations. Secure multiparty computation ( 25 – 27 ) and more recently, blockchain-based concepts ( 28 – 32 ) have also gained popularity to increase data security in privacy-preserving trustless systems. Although keeping data distributed across multiple sources is privacy-minded, performance of machine learning models still suffers in federated learning settings compared to conventional centralized learning ( 33 – 35 ).…”

Section: Introductionmentioning

confidence: 99%

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

Baumgartner,

Kreiner,

Lauschensky

et al. 2024

Front. Med.

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IntroductionThe potential for secondary use of health data to improve healthcare is currently not fully exploited. Health data is largely kept in isolated data silos and key infrastructure to aggregate these silos into standardized bodies of knowledge is underdeveloped. We describe the development, implementation, and evaluation of a federated infrastructure to facilitate versatile secondary use of health data based on Health Data Space nodes.Materials and methodsOur proposed nodes are self-contained units that digest data through an extract-transform-load framework that pseudonymizes and links data with privacy-preserving record linkage and harmonizes into a common data model (OMOP CDM). To support collaborative analyses a multi-level feature store is also implemented. A feasibility experiment was conducted to test the infrastructures potential for machine learning operations and deployment of other apps (e.g., visualization). Nodes can be operated in a network at different levels of sharing according to the level of trust within the network.ResultsIn a proof-of-concept study, a privacy-preserving registry for heart failure patients has been implemented as a real-world showcase for Health Data Space nodes at the highest trust level, linking multiple data sources including (a) electronical medical records from hospitals, (b) patient data from a telemonitoring system, and (c) data from Austria’s national register of deaths. The registry is deployed at the tirol kliniken, a hospital carrier in the Austrian state of Tyrol, and currently includes 5,004 patients, with over 2.9 million measurements, over 574,000 observations, more than 63,000 clinical free text notes, and in total over 5.2 million data points. Data curation and harmonization processes are executed semi-automatically at each individual node according to data sharing policies to ensure data sovereignty, scalability, and privacy. As a feasibility test, a natural language processing model for classification of clinical notes was deployed and tested.DiscussionThe presented Health Data Space node infrastructure has proven to be practicable in a real-world implementation in a live and productive registry for heart failure. The present work was inspired by the European Health Data Space initiative and its spirit to interconnect health data silos for versatile secondary use of health data.

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Blockchain Technology for Embracing Healthcare 4.0

Cited by 26 publications

References 78 publications

Game Theory based Incentive Mechanism Design and Analysis for the Public EVONChain

Game Theory based Incentive Mechanism Design and Analysis for the Public EVONChain

Can business managerial capacity improve green innovation in different industries? Evidence from Chinese listed companies

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

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