ArticleJMIR medical informatics2025
Integration of Data and Information Systems Into the Health Data Strategy.
Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Implementation and First Results of the Czech Nationwide Prostate Cancer Screening Pilot Program.European urology open science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unlabelled: Integrating data and information systems into national health strategies is crucial in addressing the growing health care demands. This increase is driven by an aging population and the rising prevalence of chronic diseases. Such systems enable the collection, analysis, and publication of health data and provide critical insights based on data-driven decision-making that support policy decisions, health interventions, and service delivery. Moreover, the systems enhance the capacity for public health surveillance and enable health authorities to monitor health trends, predict disease outbreaks, and effectively manage health crises such as the recent COVID-19 pandemic. This paper highlights the key aspects and characteristics that, according to international references, a well-functioning health information system and data-driven decision-making at the national level should have. We present the outputs in the form of the National Health Data-Sharing Strategy for the Czech Republic, along with successfully implemented case studies across selected domains of its health care system. The Czech National Health Information System has been established as the backbone for centralizing health data. It is a nationwide public administration tool that collects and processes data from the essential registries of public administration bodies, ministries, health services providers, or other persons submitting data to this system. It is the foundation for shaping a health care system that is responsive to patient needs, ensures efficient resource use, and promotes a patient-centered approach. Two examples are given of the tracking of fictitious patient pathways through the health care system. The take-home message of the study is a policy-oriented endorsement of comprehensive, secure, and interoperable health information systems as the basic infrastructure for modern, patient-centered, and data-driven health care. The paper strongly advocates the National Health Information System of the Czech Republic as the primary health database for designing, implementing, and governing such a system in alignment with European and global standards.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.