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dc.contributor.authorVazquez Garcia, Miguel
dc.contributor.authorValencia, Alfonso
dc.date.accessioned2020-02-20T09:57:13Z
dc.date.available2020-02-20T09:57:13Z
dc.date.created2020-01-11T12:47:15Z
dc.date.issued2019
dc.identifier.citationPLoS Computational Biology. 2019, 15:e1007291 (10), 1-13.nb_NO
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/11250/2642827
dc.description.abstractAs with many other aspects of the modern world, in healthcare, the explosion of data and resources opens new opportunities for the development of added-value services. Still, a number of specific conditions on this domain greatly hinders these developments, including ethical and legal issues, fragmentation of the relevant data in different locations, and a level of (meta)data complexity that requires great expertise across technical, clinical, and biological domains. We propose the Patient Dossier paradigm as a way to organize new innovative healthcare services that sorts the current limitations. The Patient Dossier conceptual framework identifies the different issues and suggests how they can be tackled in a safe, efficient, and responsible way while opening options for independent development for different players in the healthcare sector. An initial implementation of the Patient Dossier concepts in the Rbbt framework is available as open-source at https://github.com/mikisvaz and https://github.com/Rbbt-Workflows.nb_NO
dc.language.isoengnb_NO
dc.publisherPublic Library of Sciencenb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePatient dossier: Healthcare queries over distributed resourcesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-13nb_NO
dc.source.volume15:e1007291nb_NO
dc.source.journalPLoS Computational Biologynb_NO
dc.source.issue10nb_NO
dc.identifier.doi10.1371/journal.pcbi.1007291
dc.identifier.cristin1770672
dc.description.localcode© 2019 Vazquez, Valencia. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.nb_NO
cristin.unitcode194,65,15,0
cristin.unitnameInstitutt for klinisk og molekylær medisin
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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