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
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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 lack of integration 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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SDR(0-64), Mental and behavioural disorders, per 100 000
MDB
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Coordination of school-based services across government sectors
BaselineSurvey
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SDR(0-14), Diseases of the blood, blood forming organs and certain immunity disorders, per 100 000
MDB
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SDR, endocrine/nutrition/metabolic disease/disorder involving immune mechanism, 0–64, per 100 000, females
HFA-DB
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SDR(25-64), Malignant neoplasm of breast, per 100 000
MDB
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People at risk of poverty or social exclusion
ChildAdolescentHealth
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mHealth programmes for patient monitoring (operating levels and types)
eHealth
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Minimum age to purchase wine
BaselineSurvey
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Recommendations on energy and nutrient intakes for postpartum women
MaternalNutrition
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Practising pharmacists, head count
HlthRes-DB
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Incidence of trachea, bronchus and lung cancer per 100 000, males
HFA-DB
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SDR, diseases of the blood, blood forming organs and certain immunity disorders, all ages, per 100 000
HFA-DB
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SDR, diabetes mellitus, all ages, per 100 000, males
HFA-DB
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Primary care facilities (e.g. clinics and health care centres)
DH
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BMI (missing)
HBSC
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SDR, disease of genitourinary system, 0–64, per 100 000
HFA-DB
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Age and gender appropriate education that addresses sexual/intimate partner violence
BaselineSurvey
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SDR, diseases of respiratory system, all ages, per 100 000, females
HFA-DB
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Numbers of people aged 0–24 years injured in road traffic accidents per 100 000 motor vehicles
EnvironmentHealth
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Number of abortions, all ages
HFA-DB
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The importance of effective standards and best practices for data capture 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 standards 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