Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach

Wang, Shuai; Wang, Jing; Wang, Xiao; Qiu, Tianyu; Yuan, Yong; Ouyang, Liwei; Guo, Yuanyuan; Wang, Fei‐Yue

doi:10.1109/tcss.2018.2865526

Cited by 277 publications

(95 citation statements)

References 17 publications

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“…Such a framework increases the security and robustness of the distributed privacy-preserving health care predictive modeling across multiple institutions. Wang et al [165] proposed a blockchain based parallel healthcare system (PHS), including artificial systems, computational experiments and parallel execution (ACP). The ACP focused mainly on representing a patient's diagnosis, condition, and treatment process [165].…”

Section: Artificial Intelligencementioning

confidence: 99%

“…Wang et al [165] proposed a blockchain based parallel healthcare system (PHS), including artificial systems, computational experiments and parallel execution (ACP). The ACP focused mainly on representing a patient's diagnosis, condition, and treatment process [165]. A consortium blockchain is added with the PHS to link hospitals, patients, health governing body and related communities [165].…”

Section: Artificial Intelligencementioning

confidence: 99%

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Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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One of the most important discoveries and creative developments that is playing a vital role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains trust between individuals no matter how far they are. In the last couple of years, the upsurge in blockchain technology has obliged scholars and specialists to scrutinize new ways to apply blockchain technology with a wide range of domains. The dramatic increase in blockchain technology has provided many new application opportunities, including healthcare applications. This survey provides a comprehensive review of emerging blockchain-based healthcare technologies and related applications. In this inquiry, we call attention to the open research matters in this fast-growing field, explaining them in some details. We also show the potential of blockchain technology in revolutionizing healthcare industry.

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Section: Artificial Intelligencementioning

confidence: 99%

Section: Artificial Intelligencementioning

confidence: 99%

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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“…Recently, Wang et al [16] proposed a blockchain framework, based on parallel execution and artificial healthcare systems, to evaluate the healthcare status of patient diseases. The proposed method assesses the overall condition, diagnosis, and treatment process of the patient, and analyzes the associated therapeutic procedures through parallel executions and computational trials for clinical decision making.…”

Section: Related Workmentioning

confidence: 99%

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

et al. 2019

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Blockchain technology has gained considerable attention, with an escalating interest in a plethora of numerous applications, ranging from data management, financial services, cyber security, IoT, and food science to healthcare industry and brain research. There has been a remarkable interest witnessed in utilizing applications of blockchain for the delivery of safe and secure healthcare data management. Also, blockchain is reforming the traditional healthcare practices to a more reliable means, in terms of effective diagnosis and treatment through safe and secure data sharing. In the future, blockchain could be a technology that may potentially help in personalized, authentic, and secure healthcare by merging the entire real-time clinical data of a patient’s health and presenting it in an up-to-date secure healthcare setup. In this paper, we review both the existing and latest developments in the field of healthcare by implementing blockchain as a model. We also discuss the applications of blockchain, along with the challenges faced and future perspectives.

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“…This parameter is measured through a survey of the population close to the critical points, and the perception of the evaluator's senses is considered [14] ( Table-X). Decreased capacity of the population to withstand and resist the effects of solid waste accumulation.…”

Section: ) Potentially Affected Population A) Healthcarementioning

confidence: 99%

Risk Assessment of Critical Solid Waste Points in Lima, Peru, using the Grey Clustering Method

Delgado¹,

Buleje²,

Carbajal³

2019

IJITEE

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The district of Comas in Lima, Peru, is considered one of the districts with the highest number of critical points due to the accumulation of solid waste, causing the proliferation of vectors and the generation of bad smells, producing in this way a negative environmental and social impact on the population and on the landscape characteristics of the environment. The objective of this investigation is to evaluate the risk produced by the critical points of solid waste identified in Tupac Amaru Avenue, in the district of Comas, using the Grey Clustering method. This method allows to consider the uncertainty in the analysis being an adequate methodology for the evaluation of the risk of critical points since it is an issue of high level of uncertainty due to the limited information. The criteria for the evaluation of the risk of the critical points are according to the methodology of the Risk Evaluation Guide of the Ministry of the Environment. Five critical points of solid waste identified in the corresponding Tupac Amaru Avenue in all Zone 1 of the district of Comas were evaluated during 3 days. The results revealed that the three of the monitoring points present moderate risk and two slight risk. This study could be a useful tool for decision making by local and regional authorities to prioritize critical points for eradication and prevention

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Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach

Cited by 277 publications

References 17 publications

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

Risk Assessment of Critical Solid Waste Points in Lima, Peru, using the Grey Clustering Method

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