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dc.contributor.authorHasselgren, Anton
dc.contributor.authorKralevska, Katina
dc.contributor.authorGligoroski, Danilo
dc.contributor.authorPedersen, Sindre Andre
dc.contributor.authorFaxvaag, Arild
dc.date.accessioned2020-01-15T07:22:41Z
dc.date.available2020-01-15T07:22:41Z
dc.date.created2020-01-09T16:37:29Z
dc.date.issued2019
dc.identifier.issn1386-5056
dc.identifier.urihttp://hdl.handle.net/11250/2636299
dc.description.abstractBackground Blockchain can be described as an immutable ledger, logging data entries in a decentralized manner. This new technology has been suggested to disrupt a wide range of data-driven domains, including the health domain. Objective The purpose of this study was to systematically review, assess and synthesize peer-reviewed publications utilizing/proposing to utilize blockchain to improve processes and services in healthcare, health sciences and health education. Method A structured literature search on the topic was conducted in October 2018 relevant bibliographic databases. Result 39 publications fulfilled the inclusion criteria. The result indicates that Electronic Health Records and Personal Health Records are the most targeted areas using blockchain technology. Access control, interoperability, provenance and data integrity are all issues that are meant to be improved by blockchain technology in this field. Ethereum and Hyperledger fabric seem to be the most used platforms/frameworks in this domain. Conclusion This study shows that the endeavors of using blockchain technology in the health domain are increasing exponentially. There are areas within the health domain that potentially could be highly impacted by blockchain technology.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleBlockchain in healthcare and health sciences—A scoping reviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalInternational Journal of Medical Informaticsnb_NO
dc.identifier.doi10.1016/j.ijmedinf.2019.104040
dc.identifier.cristin1769748
dc.relation.projectNorges teknisk-naturvitenskapelige universitet: 2041854nb_NO
dc.description.localcode© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).nb_NO
cristin.unitcode194,65,30,0
cristin.unitcode194,63,30,0
cristin.unitcode194,14,30,0
cristin.unitnameInstitutt for nevromedisin og bevegelsesvitenskap
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.unitnameNTNU Universitetsbiblioteket
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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