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The importance of new analytical methods as a barrier to Big Data supporting universal health coverage

Indicator full name: 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

Unit: number of responses

Dimensions:

  • Barrier (BARRIER)
  • Country/Area (COUNTRY/AREA)
  • Supranational group of countries (COUNTRY_GRP)

Years data is available:

Indicator is part of data set(s):

Last updated: 02 June 2017

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  • 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)
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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
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Country/Area notes
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