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.
-
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
-
Met need of assistive products as proportion of need by gender
ASSISTIVETECH
-
SDR, diseases of respiratory system, 0–64, per 100 000, females
HFA-DB
-
Digital health education action plan, policy or strategy
DH
-
SDR, Tuberculosis, per 100 000
MDB
-
SDR(65+), Ischaemic heart disease, per 100 000
MDB
-
Real gross domestic product, PPP$ per capita
HFA-DB
-
The importance of demand as a barrier to eLearning supporting universal health coverage
eHealth
-
SDR, homicide and intentional injury, all ages, per 100 000, females
HFA-DB
-
SDR, symptoms, signs and ill defined conditions, all ages, per 100 000, females
HFA-DB
-
SDR(0-64), females, Malignant neoplasm of other parts of uterus, per 100 000
MDB
-
The importance of funding as a barrier to telehealth supporting universal health coverage
eHealth
-
Hospital discharges, all neoplasms
HFA-DB
-
Social care workers (personal care workers), professionally active per 10 000 population
HlthRes-DB
-
mHealth programmes for reminders to attend appointments (operating levels and types)
eHealth
-
Governs the use of big data in the private sector
DH
-
SDR(0-64), Other acute respiratory infections, per 100 000
MDB
-
SDR, diseases of the blood, blood forming organs and certain immunity disorders, 0–64, per 100 000
HFA-DB
-
SDR(45-59), Sudden and unattended death, cause unknown, per 100 000
MDB
-
SDR(60-74), Accidental poisoning, per 100 000
MDB
-
SDR(15-24), Exposure to smoke, fire and flames, per 100 000
MDB
-
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)
See full graph
Back to preview
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