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Semantic Web, Reusable Learning Objects, Personal Learning Networks in Health: Key Pieces for Digital Health Literacy.
Konstantinidis, Stathis Th; Wharrad, Heather; Windle, Richard; Bamidis, Panagiotis D.
Afiliação
  • Konstantinidis ST; School of Health Sciences, The University of Nottingham, UK.
  • Wharrad H; School of Health Sciences, The University of Nottingham, UK.
  • Windle R; School of Health Sciences, The University of Nottingham, UK.
  • Bamidis PD; Medical School, Aristotle University of Thessaloniki, Greece.
Stud Health Technol Inform ; 238: 219-222, 2017.
Article em En | MEDLINE | ID: mdl-28679928
ABSTRACT
The knowledge existing in the World Wide Web is exponentially expanding, while continuous advancements in health sciences contribute to the creation of new knowledge. There are a lot of efforts trying to identify how the social connectivity can endorse patients' empowerment, while other studies look at the identification and the quality of online materials. However, emphasis has not been put on the big picture of connecting the existing resources with the patients "new habits" of learning through their own Personal Learning Networks. In this paper we propose a framework for empowering patients' digital health literacy adjusted to patients' currents needs by utilizing the contemporary way of learning through Personal Learning Networks, existing high quality learning resources and semantics technologies for interconnecting knowledge pieces. The framework based on the concept of knowledge maps for health as defined in this paper. Health Digital Literacy needs definitely further enhancement and the use of the proposed concept might lead to useful tools which enable use of understandable health trusted resources tailored to each person needs.
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Base de dados: MEDLINE Assunto principal: Semântica / Internet / Letramento em Saúde Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Semântica / Internet / Letramento em Saúde Idioma: En Ano de publicação: 2017 Tipo de documento: Article