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
Export to:
A critical error happened while trying to prepare the export files.
Sorry for the inconvenience, the support team is already notified about this issue. Please try again later.
Related indicators in
eHealth
- National policy or strategy regulating the use of Big Data by private companies exists eHealth
- National policy or strategy regulating the use of Big Data in the health sector exists eHealth
- The importance of building capacity as a barrier to Big Data supporting universal health coverage eHealth
- The importance of information sharing as a barrier to Big Data supporting universal health coverage eHealth
- 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
You might be interested in as well
- Tobacco smoking Health2020
- Availability of social support HFA-DB
- Data for major interventions disaggregated by socioeconomic background BaselineSurvey
- Surgical group of specialists, per 10 000 population HlthRes-DB
- Prevention of undernutrition on newborn, infant and young child nutrition MaternalNutrition
- SDR(60-74), Cerebrovascular diseases, per 100 000 MDB
- Number of new syphilis cases HFA-DB
- Physical activity recommendations for at-risk groups MaternalNutrition
- SDR(0-14), Ulcer of stomach and duodenum, per 100 000 MDB
- Mortality from external causes Health2020
- SDR(15-29), Neoplasms, per 100 000 MDB
- SDR(0-14), Ischaemic heart disease, per 100 000 MDB
- SDR, hernia and intestinal obstruction, all ages, per 100 000 HFA-DB
- SDR(5-14), Accidental drowning and submersion, per 100 000 MDB
- Feeling nervous HBSC
- SDR, Diabetes mellitus, per 100 000 MDB
- Deaths(#), Diseases of the blood, blood forming organs and certain immunity disorders MDB
- SDR(60-74), Other acute respiratory infections, per 100 000 MDB
- Road traffic accidents involving alcohol per 100 000 HFA-DB
- Cyber-bullied with picture several times HBSC
Datasets
- European Health for All database (HFA-DB)
- European Programme of Work
- Digital Health
- Rehabilitation
- Health-enhancing physical activity
- Health 2020 indicators
- European mortality database (MDB)
- European database on human and technical resources for health (HlthRes-DB)
- Global eHealth survey 2015
- Health Behaviour in School-aged Children (HBSC)
- Child and adolescent health
- Environment and Health Information System (ENHIS)
- Seasonal influenza vaccination policies and coverage
- Maternal nutrition, physical activity and weight gain during pregnancy
- Antimicrobial resistance
- Global nutrition policy survey
- Status of child and adolescent health policies in Europe
- Joint Monitoring Framework (JMF)
- Financial protection in the European Region
- 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 (Horizontal bar chart)
- The importance of new analytical methods as a barrier to Big Data supporting universal health coverage (Horizontal bar chart)
A critical error happened while trying to prepare the export files.
Sorry for the inconvenience, the support team is already notified about this issue. Please try again later.
See full graph
Back to preview
Chart export
x px
Optimized for PowerPoint presentation slides
Data set notes
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.
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