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Empowering citizens through data interoperability: data federation applied to consumer-centric healthcare

Tiina Anneli Nokkala; Tomi Dahlberg

Empowering citizens through data interoperability: data federation applied to consumer-centric healthcare

Tiina Anneli Nokkala
Tomi Dahlberg
Katso/Avaa
Publisher's pdf (601.1Kb)
Lataukset: 

Sosiaali- ja terveyshuollon tietojenkäsittely-yhdistys
doi:10.23996/fjhw.82599
URI
https://doi.org/10.23996/fjhw.82599
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042827063
Tiivistelmä

During the era of open systems, healthcare services and related data are
in a constant flux caused by digital transformation. The amount,
sources and dimensionality of data grow rapidly, and solutions for data
governance, integration and interoperability are urgently needed. At the
same time, digital data and information technology–enabled healthcare
services are offered as a means to empower citizens. The objective is
for active citizens to take better care of their own health. It is
possible to support empowerment in many ways, such as with easy-to-use
information systems (IS) or personal health records (PHR), or by
supporting citizens’ participation in health data creation. In this
article, we first present the federative approach to data governance
with data federation matrixes in order to show how data are made
interoperable by combining data from different data storages. Federation
matrixes define shared attributes with their technical,
information-flow and socio-contextual metadata. We then contemplate how
the federative approach can be deployed to citizens’ healthcare data
empowerment. We propose that data ontologies, e.g., data federation
matrixes, are useful in bridging gaps between the social contexts of
citizens and healthcare professionals and, by doing so, to promote
citizen empowerment. The present article contributes to research on the
federative approach to data governance, its deployment to citizens’
healthcare empowerment, and to the practice-oriented further development
of the federation matrix tools for this and other use cases.

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