ReviewEuropean journal of public health2019
Benefits and challenges of Big Data in healthcare: an overview of the European initiatives.
Review in European journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 3 of them syntheses 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
108 citing papers in PubMed, 3 syntheses or guidelines pooled it, 301 citations in OpenAlex.
- Pooled it
- How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review.BMC health services research · 2022Pooled it
- Smartphone as a Disease Screening Tool: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- The Role of Artificial Intelligence in Optimizing Diagnosis in Prostate Cancer-A Narrative Review.Journal of clinical medicine · 2026Review
- Supratherapeutic drug concentration triggers: A novel data-driven approach to assess their value for medication safety surveillance in intensive care.British journal of clinical pharmacology · 2026Article
- Utility of artificial intelligence in predicting clinical outcomes of angiographic procedures: a comprehensive scoping review.Journal of cardiovascular imaging · 2026Review
- Health databases and early identification of autism spectrum disorder: a scoping review.BMJ open · 2026Article
- A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality Study.JMIR medical informatics · 2026Article
- Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study.BMC medical informatics and decision making · 2026Article
- Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.BMJ health & care informatics · 2026Article
- Usability, acceptability, and perceived relevance of the observatory of chronic health conditions of Santa Catarina: a formative evaluation.BMC public health · 2026Article
- Hybrid modelling using simulation and machine learning in healthcare.Computers & operations research · 2026Review
- Research information systems and knowledge graphs: a review.Frontiers in research metrics and analytics · 2026Review
- Education as an upstream social security intervention: constructing a competency-based talent development framework in health economics.Frontiers in public health · 2026Article
- Article
- Use of public health databases for the early identification of Autism spectrum disorder: a scoping review protocol.Frontiers in drug safety and regulation · 2026Review
- Digital epidemiology and public health surveillance: scientometric mapping of emerging technologies and challenges (2000-2025).Frontiers in digital health · 2026Review
- Multiple sclerosis risk stratification and healthcare cost prediction using machine learning.Communications medicine · 2025Article
- Personalized medicine and health equity: overcoming cost barriers and ethical challenges.International journal for equity in health · 2025Review
- Diabetic cardiomyopathy: a comprehensive review of diagnosis, management, and future directions.Diabetology & metabolic syndrome · 2025Review
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare systems around the world are facing incredible challenges due to the ageing population and the related disability, and the increasing use of technologies and citizen's expectations. Improving health outcomes while containing costs acts as a stumbling block. In this context, Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision makers. In several contexts, the use of Big Data in healthcare is already offering solutions for the improvement of patient care and the generation of value in healthcare organizations. This approach requires, however, that all the relevant stakeholders collaborate and adapt the design and performance of their systems. They must build the technological infrastructure to house and converge the massive volume of healthcare data, and to invest in the human capital to guide citizens into this new frontier of human health and well-being. The present work reports an overview of best practice initiatives in Europe related to Big Data analytics in public health and oncology sectors, aimed to generate new knowledge, improve clinical care and streamline public health surveillance.
Indexed as
Identifiers
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.