Indicator full name: The importance of limited integration between different health services and other systems collecting relevant data, 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
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National policy or strategy regulating the use of Big Data by private companies exists
eHealth
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National policy or strategy regulating the use of Big Data in the health sector exists
eHealth
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The importance of building capacity as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of information sharing as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of new analytical methods as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of privacy and security as a barrier to Big Data supporting universal health coverage
eHealth
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The importance of standards as a barrier to Big Data supporting universal health coverage
eHealth
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SDR(15-29), Chronic lower respiratory diseases, per 100 000
MDB
-
SDR, all causes, all ages, per 100 000, males
HFA-DB
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Age-standardized prevalence of overweight (defined as BMI = 25 kg/m2) in people aged 18 years and over, WHO estimates (%), females
HFA-DB
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SDR(25-64), Tuberculosis, per 100 000
MDB
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Telepsychiatry programmes (operating levels and types)
eHealth
-
SDR(60-74), Neoplasms, per 100 000
MDB
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SDR, ischaemic heart disease, 0–64, per 100 000
HFA-DB
-
SDR, diabetes mellitus, 0–64, per 100 000
HFA-DB
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SDR(45-59), Tuberculosis, per 100 000
MDB
-
SDR, infectious and parasitic diseases, 0–64, per 100 000, females
HFA-DB
-
Abortions per 1000 live births, age 35+ years
HFA-DB
-
SDR(65+), External causes of injury and poisoning, per 100 000
MDB
-
Mid-year population, age 35-39 years
MDB
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The importance of cost–effectiveness as a barrier to eLearning supporting universal health coverage
eHealth
-
Rate of practicing child psychiatrist per 100 000 population aged 0-14 years
BaselineSurvey
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SDR(60-74), Diseases of the blood, blood forming organs and certain immunity disorders, per 100 000
MDB
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SDR(75+), Malignant neoplasm of bladder, per 100 000
MDB
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Physicians, paediatric group of specialties (PP), per 100 000
HFA-DB
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Carbapenem-resistant Klebsiella pneumoniae
AMR
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SDR(1-19), Exposure to smoke, fire and flames, per 100 000
MDB
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The importance of limited integration between different health services and other systems collecting relevant data, as a barrier to Big Data supporting universal health coverage (Map)
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Barriers to adopting big data for health (Horizontal bar chart)
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The importance of lack of integration as a barrier to Big Data supporting universal health coverage (Horizontal bar chart)
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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