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
-
SDR(75+), Malignant neoplasm of larynx, trachea, bronchus and lung, per 100 000 MDB
-
SDR(65+), males, Malignant neoplasm of prostate, per 100 000 MDB
-
Recommendations on physical activity for women of reproductive age MaternalNutrition
-
SDR(30-44), All causes, per 100 000 MDB
-
SDR, ischaemic heart disease, all ages, per 100 000, males HFA-DB
-
Other staff employed by hospital in FTE, total number HlthRes-DB
-
Number of all cases of diabetes mellitus at year's end HFA-DB
-
Surveillance DH
-
SDR(45-59), Ischaemic heart disease, per 100 000 MDB
-
Overweight and obese (6-9 years old) ChildAdolescentHealth
-
Incidence of trachea, bronchus and lung cancer per 100 000, females HFA-DB
-
Deaths(#), Cerebrovascular diseases MDB
-
SDR(15-24), Exposure to smoke, fire and flames, per 100 000 MDB
-
Bathing water quality for coastal zones in EU countries, levels of compliance EnvironmentHealth
-
Backache HBSC
-
Acute (short-stay) hospitals per 100 000 HFA-DB
-
SDR(60-74), Sudden and unattended death, cause unknown, per 100 000 MDB
-
Classmate support HBSC
-
SDR, diseases of digestive system, all ages, per 100 000, females HFA-DB
-
Deaths(#), Accidental poisoning by alcohol MDB
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