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Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative

The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical centers, which address data harmonization, information security and data protection. To capture p...

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Main Authors: Bild, Raffael (Author) , Bialke, Martin (Author) , Buckow, Karoline (Author) , Ganslandt, Thomas (Author) , Ihrig, Kristina (Author) , Jahns, Roland (Author) , Merzweiler, Angela (Author) , Roschka, Sybille (Author) , Schreiweis, Björn (Author) , Stäubert, Sebastian (Author) , Zenker, Sven (Author) , Prasser, Fabian (Author)
Format: Article (Journal)
Language:English
Published: 05 June 2020
In: BMC medical informatics and decision making
Year: 2020, Volume: 20, Pages: 1-9
ISSN:1472-6947
DOI:10.1186/s12911-020-01138-6
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12911-020-01138-6
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Author Notes:Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker and Fabian Prasser
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Summary:The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical centers, which address data harmonization, information security and data protection. To capture patient consent, a common informed consent template has been developed. It consists of different modules addressing permissions for using data and biosamples. On the technical level, a common digital representation of information from signed consent templates is needed. As the partners in the initiative are free to adopt different solutions for managing consent information (e.g. IHE BPPC or HL7 FHIR Consent Resources), we had to develop an interoperability layer.
Item Description:Gesehen am 24.07.2020
Physical Description:Online Resource
ISSN:1472-6947
DOI:10.1186/s12911-020-01138-6

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