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Table 4 Improvements to national health information systems

From: Prioritizing health information for national health reporting - a Delphi study of the Joint Action on Health Information (InfAct)

Which improvements to your national health information system would benefit health information users and policy makers in your country?
Improvements may include continual indicator alignment with population health needs, data quality improvements, or improvements in dissemination (including access or formats used).
The largest improvement has been the legislation […]. The threat is that GDPR is interpreted stricter than national legislation in the future.
Clear mandate to coordinate.
Indicators should build a complex picture about health status/needs/issues of citizens, including also public and environmental health.
Data quality improvements and more use of linked data o report on outcomes.
Complete redefinition of indicators and collection/reporting methodology.
Implementation of a unique identifier for health.
Alignment with population health needs. Improvement in public health dissemination of data improvement in public health communication.
Improvements in dissemination including the format of interpretation responsive for various levels (public, patients, health care providers, payers, policy).
Integration of more interests.
Introduce legislation regarding data collection, analysis and process.
Continual indicator alignment and also minimum requirements on data transparency and openness (also for third-party research) are likely to improve our health system development in my country.
At present there is no published health information strategy […]. This is being prepared and it is hoped that this will benefit producers and users of health information. It is hoped that such strategy will help to make clear the role of the various stakeholders/producers of health information.
The information provision process is under review as to find new ways on conveying Information (e.g., more easy-to-read “fact Sheets” and less large scale overall reports). […] strict data protection regulations leading to highly fragmented data ownership and management combined with a federalistic governance structure in administrations, i.e. a lot of information cannot be combined on person basis (from the spheres of sickness funds, Province owned Hospitals and data owned by the State such as social-demographic data like income).
More emphasis on policy analysis. More emphasis on policies outside the health domain and their effect on health.
The health information system strategy will look to address issues such as coverage, gaps, data linkage and health information capacity more generally in order to benefit system users and policy makers.
Modernizing of web-based presentation of indicators.
  1. GDPR = General Data Protection Regulation