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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National policy or strategy regulating the use of Big Data by private companies exists
eHealth
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National policy or strategy regulating the use of Big Data in the health sector exists
eHealth
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The importance of building capacity as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of information sharing as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of lack of integration as a barrier to Big Data supporting universal health coverage
eHealth
-
The importance of privacy and security as a barrier to Big Data supporting universal health coverage
eHealth
-
The importance of standards as a barrier to Big Data supporting universal health coverage
eHealth
-
SDR(15-29), Diabetes mellitus, per 100 000
MDB
-
SDR(5-14), Accidental falls, per 100 000
MDB
-
SDR(15-24), Transport accidents, per 100 000
MDB
-
SDR(30-44), Transport accidents, per 100 000
MDB
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Professional groups that are offered in-service training in the use of ICT for health as part of the continuing education of health professionals
eHealth
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Health complaints
HBSC
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SDR(15-29), Cerebrovascular diseases, per 100 000
MDB
-
SDR(0-64), females, Malignant neoplasm of ovary, per 100 000
MDB
-
The importance of standards as a barrier to Big Data supporting universal health coverage
eHealth
-
Individuals and communities use social media to run community-based health campaigns
eHealth
-
SDR(0-14), Malignant neoplasm of pancreas, per 100 000
MDB
-
Classification version used to code underlying cause of death (see Definitions)
MDB
-
Obesity
Health2020
-
SDR(30-44), males, Malignant neoplasm of prostate, per 100 000
MDB
-
SDR(15-24), Accidental drowning and submersion, per 100 000
MDB
-
SDR(0-64), Accidental poisoning by alcohol, per 100 000
MDB
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Mid-year population, age 80-84 years
MDB
-
Differences in medically attended injuries, by FAS
HBSC
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Professional nurses, practising, per 10 000 population
HlthRes-DB
-
SDR(15-29), Diseases of skin and subcutaneous tissue, per 100 000
MDB
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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 (Map)
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Barriers to adopting big data for health (Horizontal bar chart)
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The importance of new analytical methods as a barrier to Big Data supporting universal health coverage (Horizontal bar chart)
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eHealth survey 2015
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.
Indicators: 142
Updated: 02 June 2017
Contact:
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