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, ischaemic heart disease, 0–64, per 100 000, males HFA-DB
-
Medical group of specialists, head count HlthRes-DB
-
SDR(60-74), Alcohol abuse (including alcoholic psychosis), per 100 000 MDB
-
SDR(25-64), Drug dependence and toxicomania, per 100 000 MDB
-
SDR(60-74), Suicide and intentional self-harm, per 100 000 MDB
-
Differences in talk to mother, by FAS HBSC
-
SDR(45-59), Malignant neoplasm of bladder, per 100 000 MDB
-
Average length of stay, acute care hospitals only HFA-DB
-
SDR(0-64), Viral hepatitis, per 100 000 MDB
-
Professional nurses and midwives employed by hospital in FTE, total number HlthRes-DB
-
SDR(60-74), Diseases of musculoskeletal system and connective tissue, per 100 000 MDB
-
SDR(60-74), Malignant neoplasm of breast, per 100 000 MDB
-
SDR(30-44), Congenital malformations and chromosomal abnormalities, per 100 000 MDB
-
SDR(0-14), Pulmonary heart disease and other heart diseases, per 100 000 MDB
-
Professionally active midwives, head count HlthRes-DB
-
SDR(45-59), Diseases of the respiratory system, per 100 000 MDB
-
Need and use of assistive products - Time management products ASSISTIVETECH
-
Salaries as % of total public health expenditure HFA-DB
-
SDR, Diseases of the digestive system, per 100 000 MDB
-
SDR, diseases of respiratory system, all ages, per 100 000, males HFA-DB
Datasets
- European Health for All database (HFA-DB)
- Assistive Technology
- European Programme of Work
- Digital Health
- European mortality database (MDB)
- Rehabilitation
- Health-enhancing physical activity
- 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