Indicator full name: The importance of incentives to public and private sectors to accelerate information sharing and avoid information remaining in silos 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 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
-
The importance of standards as a barrier to Big Data supporting universal health coverage
eHealth
-
Appointment reminders
DH
-
SDR(25-64), Accidental poisoning, per 100 000
MDB
-
Average population density per km2
HFA-DB
-
Dentists licensed to practice, head count
HlthRes-DB
-
SDR(60-74), Meningitis, per 100 000
MDB
-
Number of hospital discharges, mental and behavioural disorders
HFA-DB
-
SDR, adverse effects of therapeutic agents, all ages, per 100 000, females
HFA-DB
-
SDR, cerebrovascular diseases, 0–64, per 100 000
HFA-DB
-
SDR(75+), Symptoms, signs, abnormal findings, ill-defined causes, per 100 000
MDB
-
SDR, appendicitis, 0–64, per 100 000, females
HFA-DB
-
SDR(65+), Accidental poisoning by alcohol, per 100 000
MDB
-
Age-standardized prevalence of obesity (defined as BMI = 30 kg/m2) in people aged 18 years and over, WHO estimates (%), males
HFA-DB
-
SDR(25-64), Neoplasms, per 100 000
MDB
-
Differences in bullied others once or more, by FAS
HBSC
-
SDR, diabetes mellitus, 0–64, per 100 000, males
HFA-DB
-
National policy or strategy regulating the use of Big Data in the health sector exists
eHealth
-
Physical fighting ≥3
HBSC
-
Maternal deaths per 100 000 live births, max of cod and clinical data
HFA-DB
-
Proportion of children of official primary school age not enrolled, both sexes
HFA-DB
-
Professional nurses and midwives employed by hospital in FTE, total number
HlthRes-DB
-
The importance of incentives to public and private sectors to accelerate information sharing and avoid information remaining in silos as a barrier to Big Data supporting universal health coverage (Map)
-
Barriers to adopting big data for health (Horizontal bar chart)
-
The importance of information sharing 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