2020
DOI: 10.22215/timreview/1325
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Blockchain-enabled Clinical Study Consent Management

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Cited by 17 publications
(10 citation statements)
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“…Jung et al . [ 81 ] developed a blockchain-based healthcare solution named Decentralized Clinical Study Consent Management (D-CSCM). It contains features to create and manage consent documents, store them decentralized, and log all views and changes of the database entries on a chain The need for sharing and ensuring traceability of clinical trial data The need for structuring clinical trial data which is usually kept in silo forms Precision medicine The need for ensuring privacy and security of data in diagnosing, treating and preventing diseases by considering the variabilities in genes, environment and lifestyle of individuals Juneja and Marefat [ 84 ] introduced a system that uses deep learning to classify arrhythmias and smart contracts to keep access in control.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Jung et al . [ 81 ] developed a blockchain-based healthcare solution named Decentralized Clinical Study Consent Management (D-CSCM). It contains features to create and manage consent documents, store them decentralized, and log all views and changes of the database entries on a chain The need for sharing and ensuring traceability of clinical trial data The need for structuring clinical trial data which is usually kept in silo forms Precision medicine The need for ensuring privacy and security of data in diagnosing, treating and preventing diseases by considering the variabilities in genes, environment and lifestyle of individuals Juneja and Marefat [ 84 ] introduced a system that uses deep learning to classify arrhythmias and smart contracts to keep access in control.…”
Section: Resultsmentioning
confidence: 99%
“…Although blockchain does not guarantee correct data entry, a staged data entry process would reduce data manipulation risk. Smart contracts could be used to promote transparency in reporting clinical trial data by capturing data that might be intended to be manipulated [ 76 , 78 81 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Healthcare organizations are investing in BCT as they envision its wide applications in the field of longitudinal healthcare records, automated health claims adjudication, online patient access, sharing patients' health data, clinical trials, clinical consent management, preventing drug counterfeiting, master patient index, revenue cycle management, biomedical research, remote patient monitoring applications, and precision medicine (Casino et al, 2019; Jung & Pfister, 2020; Kamble et al, 2019). EHR management based on BCT act as a protocol through which privacy and security can be maintained in accessing the data.…”
Section: Theoretical Underpinning and Review Of Key Literaturementioning
confidence: 99%