ArticleJournal of the American Medical Informatics Association : JAMIA
Exposome informatics: considerations for the design of future biomedical research information systems.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed.
- Reimagining paediatric care: technology, trust, and the global movement for child-centred innovation.Frontiers in medicine · 2026Review
- Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024Review
- JAMIA at 30: looking back and forward.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- One Health in a Digital World: Technology, Data, Information and Knowledge.Yearbook of medical informatics · 2023Article
- Article
- Precision diagnostics in children.Cambridge prisms. Precision medicine · 2023Review
- High Resolution and Spatiotemporal Place-Based Computable Exposures at Scale.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Semantic standards of external exposome data.Environmental research · 2021Review
- Information Retrieval Using Machine Learning for Biomarker Curation in the Exposome-Explorer.Frontiers in research metrics and analytics · 2021Article
- Digital Health for Supporting Precision Medicine in Pediatric Endocrine Disorders: Opportunities for Improved Patient Care.Frontiers in pediatrics · 2021Review
- What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2021Article
- Community Approaches for Integrating Environmental Exposures into Human Models of Disease.Environmental health perspectives · 2020Article
- Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine.Yearbook of medical informatics · 2020Article
- Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation.JMIR medical informatics · 2020Article
- Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects.International journal of environmental research and public health · 2019Article
- Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification.Journal of medical Internet research · 2017Article
- Secondary Use and Analysis of Big Data Collected for Patient Care.Yearbook of medical informatics · 2017Review
- Added Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics.Yearbook of medical informatics · 2017Article
- Research Strategies for Biomedical and Health Informatics. Some Thought-provoking and Critical Proposals to Encourage Scientific Debate on the Nature of Good Research in Medical Informatics.Methods of information in medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The environment's contribution to health has been conceptualized as the exposome. Biomedical research interest in environmental exposures as a determinant of physiopathological processes is rising as such data increasingly become available. The panoply of miniaturized sensing devices now accessible and affordable for individuals to use to monitor a widening range of parameters opens up a new world of research data. Biomedical informatics (BMI) must provide a coherent framework for dealing with multi-scale population data including the phenome, the genome, the exposome, and their interconnections. The combination of these more continuous, comprehensive, and personalized data sources requires new research and development approaches to data management, analysis, and visualization. This article analyzes the implications of a new paradigm for the discipline of BMI, one that recognizes genome, phenome, and exposome data and their intricate interactions as the basis for biomedical research now and for clinical care in the near future.
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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.