ArticleArchives of public health = Archives belges de sante publique2020
Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries.
Article in Archives of public health = Archives belges de sante publique, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review.Journal of medical Internet research · 2023Pooled it
- A Comprehensive Mapping of Real-World Studies and Data Sources for Oncology in China: Insights into Landscape, Challenges, and Future Direction.Oncology and therapy · 2026Review
- Use of machine learning for chronic disease case identification in primary care settings: A scoping review of methods, validation, and clinical relevance.The Journal of international medical research · 2026Article
- Identifying diseases in claims data using a machine learning approach - a case from Switzerland.Archives of public health = Archives belges de sante publique · 2025Article
- Monitoring changes in vitamin D levels during the COVID-19 pandemic with routinely-collected laboratory data.Nature communications · 2025Article
- Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Linking health survey data with health insurance data: methodology, challenges, opportunities and recommendations for public health research. An experience from the HISlink project in Belgium.Archives of public health = Archives belges de sante publique · 2023Article
- Towards trust-based governance of health data research.Medicine, health care, and philosophy · 2023Article
- Navigating data governance approvals to use routine health and social care data to evidence the hidden population with severe obesity: a case study from a clinical academic's perspective.Journal of research in nursing : JRN · 2022Article
- Challenges and opportunities for using population health data to investigate cancer survivors' quality of life in Australia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- The InfAct proposal for a sustainable European health information infrastructure on population health: the Distributed Infrastructure on Population Health (DIPoH).Archives of public health = Archives belges de sante publique · 2022Article
- Enhancing Human Biomonitoring Studies through Linkage to Administrative Registers-Status in Europe.International journal of environmental research and public health · 2022Article
- You Can't Have AI Both Ways: Balancing Health Data Privacy and Access Fairly.Frontiers in genetics · 2022Article
- Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France.Archives of public health = Archives belges de sante publique · 2021Article
- A Roadmap to Gene Discoveries and Novel Therapies in Monogenic Low and High Bone Mass Disorders.Frontiers in endocrinology · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 12 institutions in 10 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe availability of data generated from different sources is increasing with the possibility to link these data sources with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the current use of data linkage at the individual level and artificial intelligence (AI) in routine public health activities, to identify the related estimated health indicators (i.e., outcome and intervention indicators) and health determinants of non-communicable diseases and the obstacles to linking different data sources.
methodWe performed a survey across European countries to explore the current practices applied by national institutes of public health, health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or AI).
resultsThe use of data linkage and AI at national institutes of public health, health information and statistics in Europe varies. The majority of European countries use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes. The use of AI to estimate health indicators is not frequent at national institutes of public health, health information and statistics. Using linked data, 46 health outcome indicators, 34 health determinants and 23 health intervention indicators were estimated in routine. The complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as obstacles to routine data linkage for public health surveillance and research.
conclusionsOur results highlight that the majority of European countries have integrated data linkage in their routine public health activities but only a few use AI. A sustainable national health information system and a robust data governance framework allowing to link different data sources are essential to support evidence-informed health policy development. Building analytical capacity and raising awareness of the added value of data linkage in national institutes is necessary for improving the use of linked data in order to improve the quality of public health surveillance and monitoring activities.
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What OpenQuestion holds
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.