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dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.authorMendoza Santana, Juan Jose
dc.contributor.authorVermeulen, Andreas Francois
dc.contributor.authorWebber dos Santos, Thais Christina
dc.contributor.authorBlackledge, Euan
dc.contributor.editorHägglund, M.
dc.contributor.editorGallos, P.
dc.contributor.editorHäyrinen, K.
dc.contributor.editorSaranto, K.
dc.contributor.editorScott, P.
dc.contributor.editorVärri, A.
dc.contributor.editorDelgado, J.
dc.contributor.editorKinnunen, U.-M.
dc.contributor.editorPape-Haugaard, L.B.
dc.contributor.editorPeltonen, L.-M.
dc.identifier.citationKuster Filipe Bowles , J , Mendoza Santana , J J , Vermeulen , A F , Webber dos Santos , T C & Blackledge , E 2020 , Integrating healthcare data for enhanced citizen-centred care and analytics . in M Hägglund , P Gallos , K Häyrinen , K Saranto , P Scott , A Värri , J Delgado , U-M Kinnunen , L B Pape-Haugaard & L-M Peltonen (eds) , Integrated Citizen Centered Digital Health and Social Care : Citizens as Data Producers and Service co-Creators . Studies in Health Technology and Informatics , vol. 275 , IOS Press , pp. 17-21 , EFMI 2020 Special Topic Conference , 26/11/20 .
dc.identifier.otherORCID: /0000-0002-5918-9114/work/84315436
dc.identifier.otherORCID: /0000-0002-8091-6021/work/85855499
dc.descriptionThis research is funded by the EU H2020 project SERUMS: Securing Medical Data in Smart Patient-Centric Healthcare Systems (grant code 826278).en
dc.description.abstractThe potential of healthcare systems worldwide is expanding as new medical devices and data sources are regularly presented to healthcare providers which could be used to personalise, improve and revise treatments further. However, there is presently a large gap between the data collected, the systems that store the data, and any ability to perform big data analytics to combinations of such data. This paper suggests a novel approach to integrate data from multiple sources and formats, by providing a uniform structure to the data in a healthcare data lake with multiple zones reflecting how refined the data is: from raw to curated when ready to be consumed or used for analysis. The integration further requires solutions that can be proven to be secure, such as patient-centric data sharing agreements (smart contracts) on a blockchain, and novel privacy-preserving methods for extracting metadata from data sources, originally derived from partially-structured or from completely unstructured data. Work presented here is being developed as part of an EU project with the ultimate aim to develop solutions for integrating healthcare data for enhanced citizen-centred care and analytics across Europe.
dc.publisherIOS Press
dc.relation.ispartofIntegrated Citizen Centered Digital Health and Social Careen
dc.relation.ispartofseriesStudies in Health Technology and Informaticsen
dc.subjectData lakeen
dc.subjectData analyticsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectZA4050 Electronic information resourcesen
dc.subjectRA Public aspects of medicineen
dc.titleIntegrating healthcare data for enhanced citizen-centred care and analyticsen
dc.typeConference itemen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen

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