• The importance of research into new analytical methods to meet the challenges of new data and emerging research scenarios, as a barrier to Big Data supporting universal health coverage The importance of research into new analytical methods to meet the challenges of new data and emerging research scenarios, as a barrier to Big Data supporting universal health coverage (Map)
  • Barriers to adopting big data for health Barriers to adopting big data for health (Horizontal bar chart)
  • The importance of new analytical methods as a barrier to Big Data supporting universal health coverage The importance of new analytical methods as a barrier to Big Data supporting universal health coverage (Horizontal bar chart)
The boundaries and names shown and the designations used on this map do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement.
Data set notes
eHealth survey 2015

Indicators: 142
Updated: 02 June 2017
Contact: Clayton Hamilton

Data provided by Member States in the 2015 WHO Global eHealth Survey and highlights the key messages and trends identified. Published in the European eHealth report 2016. In total, 46 Member States from the WHO European Region responded to the survey.
Indicator notes
No information
Country/Area notes
No information