Keyword: mobile health apps

Netherlands external link

Appelman, N. & Fahy, R.
0901

Abstract

Contact tracing apps for smartphones, thermal scanners, face recognition technology: high hopes have been placed by both local administrations and national governments in applications and devices like these, aimed at containing the outbreak of the virus. The new publication Automated Decision-Making Systems in the COVID-19 Pandemic: A European Perspective gathers detailed examples of ADM systems in use, compiled by a network of researchers covering 16 countries. It provides an initial mapping and exploration of ADM systems implemented throughout Europe as a consequence of the COVID-19 outbreak.

covid-19, frontpage, mobile health apps, Technologie en recht

Bibtex

Chapter{Appelman2020b, title = {Netherlands}, author = {Appelman, N. and Fahy, R.}, url = {https://algorithmwatch.org/wp-content/uploads/2020/08/ADM-systems-in-the-Covid-19-pandemic-Report-by-AW-BSt-Sept-2020.pdf}, year = {0901}, date = {2020-09-01}, abstract = {Contact tracing apps for smartphones, thermal scanners, face recognition technology: high hopes have been placed by both local administrations and national governments in applications and devices like these, aimed at containing the outbreak of the virus. The new publication Automated Decision-Making Systems in the COVID-19 Pandemic: A European Perspective gathers detailed examples of ADM systems in use, compiled by a network of researchers covering 16 countries. It provides an initial mapping and exploration of ADM systems implemented throughout Europe as a consequence of the COVID-19 outbreak.}, keywords = {covid-19, frontpage, mobile health apps, Technologie en recht}, }

Statement Prof. Dr. Natali Helberger bij Rondetafelgesprek over de Corona-app in de Tweede Kamer op 22 April 2020 external link

Helberger, N.
2020

frontpage, Informatierecht, mobile health apps

Bibtex

Article{Helberger2020c, title = {Statement Prof. Dr. Natali Helberger bij Rondetafelgesprek over de Corona-app in de Tweede Kamer op 22 April 2020}, author = {Helberger, N.}, url = {https://www.ivir.nl/publicaties/download/Statement_Covid_App_Expertsronde_TK.pdf https://www.tweedekamer.nl/debat_en_vergadering/commissievergaderingen/details?id=2020A01700}, year = {0422}, date = {2020-04-22}, keywords = {frontpage, Informatierecht, mobile health apps}, }

Differences in mobile health app use: A source of new digital inequalities? external link

Bol, N., Helberger, N. & Weert, J.C.M.
The Information Society, vol. 2018, num: 3, 2018

Abstract

This article provides a more differentiated understanding of mobile health consumers, and considers whether health app use may contribute to new digital inequalities. It focuses on factors associated with mobile health app use, and identifies which factors explain the use of different types of health apps. Data from a large representative sample of the Dutch population (N = 1,079) show that mobile health app users were generally younger, higher educated, and had higher levels of e-health literacy skills than non-users. Interestingly, different usage patterns were found for specific types of health apps. Theory and policy implications are discussed.

digital inequalities, e-health, frontpage, mobile health apps, Privacy

Bibtex

Article{Bol2018, title = {Differences in mobile health app use: A source of new digital inequalities?}, author = {Bol, N. and Helberger, N. and Weert, J.C.M.}, url = {https://www.tandfonline.com/doi/full/10.1080/01972243.2018.1438550}, year = {0501}, date = {2018-05-01}, journal = {The Information Society}, volume = {2018}, number = {3}, pages = {}, abstract = {This article provides a more differentiated understanding of mobile health consumers, and considers whether health app use may contribute to new digital inequalities. It focuses on factors associated with mobile health app use, and identifies which factors explain the use of different types of health apps. Data from a large representative sample of the Dutch population (N = 1,079) show that mobile health app users were generally younger, higher educated, and had higher levels of e-health literacy skills than non-users. Interestingly, different usage patterns were found for specific types of health apps. Theory and policy implications are discussed.}, keywords = {digital inequalities, e-health, frontpage, mobile health apps, Privacy}, }