ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2019
Semantic data interoperability, digital medicine, and e-health in infectious disease management: a review.
Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Findings from the Health Information Management Section of the 2020 International Medical Informatics Association Yearbook.Yearbook of medical informatics · 2020Pooled it
- Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem?Journal of medical Internet research · 2026Article
- Sorting out and navigating uncertainty in precision medicine.History and philosophy of the life sciences · 2026Article
- Unified framework for human and veterinary antibiotics: mapping international drug classifications (ATC and ATCvet) to support antimicrobial resistance research.Frontiers in veterinary science · 2026Article
- Performance of Large Language Models in Numerical Versus Semantic Medical Knowledge: Cross-Sectional Benchmarking Study on Evidence-Based Questions and Answers.Journal of medical Internet research · 2025Article
- Analyzing the medical record homepages quality in a Chinese EMR system.BMC medical informatics and decision making · 2025Article
- Federated systems for automated infection surveillance: a perspective.Antimicrobial resistance and infection control · 2024Review
- Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities.JMIR public health and surveillance · 2024Article
- A reference architecture for personal health data spaces using decentralized content-addressable storage networks.Frontiers in medicine · 2024Article
- Artificial Intelligence Bias in Health Care: Web-Based Survey.Journal of medical Internet research · 2023Article
- Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic.Socio-economic planning sciences · 2023Article
- Semantic interoperability in health records standards: a systematic literature review.Health and technology · 2022Review
- Artificial Intelligence in Medicine: Chances and Challenges for Wide Clinical Adoption.Visceral medicine · 2020Review
- Digitalization, clinical microbiology and infectious diseases.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2020Article
- Digital microbiology.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2020Review
- Chikungunya outbreak (2015) in the Colombian Caribbean: Latent classes and gender differences in virus infection.PLoS neglected tropical diseases · 2020Article
- Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.Clinical microbiology reviews · 2020Review
- Coronavirus disease 2019 (COVID-19) surveillance system: Development of COVID-19 minimum data set and interoperable reporting framework.Journal of education and health promotion · 2020Article
- Data integration in cardiac electrophysiology ablation toward achieving proper interoperability in health information systems.Journal of education and health promotion · 2020Article
- Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disease management requires the use of mixed languages when discussing etiology, diagnosis, treatment, and follow-up. All phases require data management, and, in the optimal case, such data are interdisciplinary and uniform and clear to all those involved. Such semantic data interoperability is one of the technical building blocks that support emerging digital medicine, e-health, and P4-medicine (predictive, preventive, personalized, and participatory). In a world where infectious diseases are on a trend to become hard-to-treat threats due to antimicrobial resistance, semantic data interoperability is part of the toolbox to fight more efficiently against those threats. In this review, we will introduce semantic data interoperability, summarize its added value, and analyze the technical foundation supporting the standardized healthcare system interoperability that will allow moving forward to e-health. We will also review current usage of those foundational standards and advocate for their uptake by all infectious disease-related actors.
Indexed as
Identifiers
30771124What 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.