Panel: Big data & social media for empowering patients with diabetes

Luis Fernandez, Yelena Mejova, Mayer Miguel-Angel, Hasvold Per Erlend, Joshi Surabhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Millions of people living with diabetes are using mobile phones, Internet and social media to socialize with other patients, share experience or search information relevant for their self-management. This phenomena is leading towards a new paradigm of hyper-connected diabetes digital self-management. This is also leading towards an explosion on data, a large amount of data is collected on populations around the world. This panel will address the opportunities this data presents, discuss the latest research that uses it, and the limitations and other concerns.

Original languageEnglish
Title of host publicationNursing Informatics 2016 - eHealth for All: Every Level Collaboration - From Project to Realization
PublisherIOS Press
Pages607-609
Number of pages3
Volume225
ISBN (Electronic)9781614996576
DOIs
Publication statusPublished - 2016
Event13th International Conference on Nursing Informatics, NI 2016 - Geneva, Switzerland
Duration: 25 Jun 201629 Jun 2016

Publication series

NameStudies in Health Technology and Informatics
Volume225
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other13th International Conference on Nursing Informatics, NI 2016
CountrySwitzerland
CityGeneva
Period25/6/1629/6/16

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Keywords

  • Big data
  • Diabetes
  • Internet
  • mHealth
  • Public health
  • Social media

ASJC Scopus subject areas

  • Medicine(all)
  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Fernandez, L., Mejova, Y., Miguel-Angel, M., Per Erlend, H., & Surabhi, J. (2016). Panel: Big data & social media for empowering patients with diabetes. In Nursing Informatics 2016 - eHealth for All: Every Level Collaboration - From Project to Realization (Vol. 225, pp. 607-609). (Studies in Health Technology and Informatics; Vol. 225). IOS Press. https://doi.org/10.3233/978-1-61499-658-3-607