2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) 2018
DOI: 10.1109/worlds4.2018.8611621
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Decentralized e-Health Architecture for Boosting Healthcare Analytics

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Cited by 15 publications
(17 citation statements)
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“…Blockchain in collaboration with other emerging technologies, such as deep- and transfer-learning techniques, was used to identify predictive analytics of health care data. Kotsiuba et al [ 34 ] stated that blockchain provides a unique opportunity to overcome the problems related to the analysis and security of medical data. Using blockchain technology, a decentralized health data ecosystem was presented that protected medical data confidentiality, produced an effective shared health infrastructure, and increased the basis of clinical data collection.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Blockchain in collaboration with other emerging technologies, such as deep- and transfer-learning techniques, was used to identify predictive analytics of health care data. Kotsiuba et al [ 34 ] stated that blockchain provides a unique opportunity to overcome the problems related to the analysis and security of medical data. Using blockchain technology, a decentralized health data ecosystem was presented that protected medical data confidentiality, produced an effective shared health infrastructure, and increased the basis of clinical data collection.…”
Section: Discussionmentioning
confidence: 99%
“…Kotsiuba et al [ 34 ] also presented a decentralized health data system using blockchain that secures the collection and confidentially of medical or clinical data. In the study by Zhang et al [ 24 ], data integrity was enhanced by using an FHIRChain-based decentralized app, which used blockchain technology and digital health identities in remote cancer care to validate the participants in a case study of clinical data sharing.…”
Section: Discussionmentioning
confidence: 99%
“…The project achieved this using FHIR profiles as a computational conformance scheme. Figure 15 shows the details of this distribution and others like older versions of HL7 [63], [65], [69], [75], [77], [80], [95], [123], Logical Observations Identifiers Names and Codes (LOINC) [30], [53], [65], [95], [165], World Health Organisation's (WHO's) International Classification of Diseases (ICD) [53], [65], [95], [130], International Organization for Standards (ISO) [95], Systematised Nomenclature of Medicine -Clinical Terms (SNOMED-CT) [59], [95], Digital Imaging and Communication in Medicine (DICOM) [65], [95], [114], Open Electronic Health Records (OpenEHR) [95], [106], [115]. OmniPHR [95] for instance uses a translator hosted as a super-peer (blockchain node) in the blockchain network.…”
Section: ) Standards or Ontologies Analysismentioning
confidence: 99%
“…Ref. [99] introduces a blockchain-based health data ecosystem to manage high amount of health data. The proposed approach uses Exonum [100] (service-oriented architecture that works in a peer-to-peer manner) open source platform.…”
Section: Record Management Systemmentioning
confidence: 99%