Indicator full name: The importance of effective standards and best practices for data capture 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 new analytical methods 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
You might be interested in as well
-
SDR, diseases of digestive system, 0–64, per 100 000 HFA-DB
-
SDR(0-14), Other acute respiratory infections, per 100 000 MDB
-
Number of new cases of mental disorders HFA-DB
-
SDR(15-29), Chronic lower respiratory diseases, per 100 000 MDB
-
Individuals and communities use social media to help decide on what health services to use eHealth
-
Universities offer a health sciences degree that can be gained entirely online eHealth
-
Health care organizations use social media to seek feedback on services eHealth
-
Laws or regulations that restrict marketing to children exist BaselineSurvey
-
CDR(0 year), Diseases of the respiratory system, per 100 000 MDB
-
Need and use of assistive products - Pill organizers ASSISTIVETECH
-
Number of people injured due to work-related accidents HFA-DB
-
SDR(60-74), Ischaemic heart disease, per 100 000 MDB
-
Hospital discharges, cerebrovascular diseases, per 100 000 HFA-DB
-
Paediatric formulations available for all essential drugs BaselineSurvey
-
Governs the secure identification of patients and health care providers DH
-
Mid-year population, age 5-9 years MDB
-
Acute (short-stay) hospitals per 100 000 HFA-DB
-
Trans-fatty acids policy implementation EPW
-
SDR(0-14), Chronic liver disease and cirrhosis, per 100 000 MDB
-
SDR, ischaemic heart disease, 65+, per 100 000, females HFA-DB
Datasets
- European Health for All database (HFA-DB)
- Health-enhancing physical activity
- Assistive Technology
- European Programme of Work
- Digital Health
- European mortality database (MDB)
- Rehabilitation
- Health 2020 indicators
- 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 effective standards and best practices for data capture as a barrier to Big Data supporting universal health coverage (Map)
-
Barriers to adopting big data for health (Horizontal bar chart)
-
The importance of standards 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