Health data sharing in the Czech Republic: from national methodology to practical use in data-driven decision-making

Article type
Authors
Komenda M1
1Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic, Czech Republic
Abstract
Background: Comprehensive provision of access to and sharing of centralized health data involves a wide range of steps, from standardizing the content of primary data to ensuring efficient collection, follow-up, and editing of data to its publication with guaranteed updates and considering user feedback.

Objectives: The main aim is to share, through a national methodology, the appropriate health data formats for each target group to ensure, as far as possible, correct interpretation of the data and further dissemination.

Methods: The central and crucial building block is the national methodology of data sharing and secondary data mining of the National Health Information System, which represents the fundamental methodological principles of accessing and sharing health data in the Czech Republic. The National Health Information Portal was chosen as a central and unified online communication medium that provides verified and guaranteed health information for both the lay and professional public in the Czech Republic.

Results: Health data are presented in several complementary formats that directly meet the needs of the target groups. Open data, data summaries, analytical reports, interactive visualizations, infographics, and scientific publications on the individual components of the National Health Information System form 1 complex information service. An example is the National Register of Reproductive Health, whose data clearly show the quality of Czech health care in this medical domain.

Conclusions: Data outputs created with the representatives of a given medical expertise can provide a valid and understandable basis for decision-making. It is essential to validate published outputs thoroughly, supplemented with the necessary metadata providing context and recommended interpretation.