ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
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- A strategic framework for data science integration in undergraduate medical education and clinical training.Journal of education and health promotion · 2026Review
- Erratum: Effect of Fresh Frozen Plasma Infusion on Hospital Length of Stay for Patients With Hereditary Angioedema.Journal of health economics and outcomes research · 2025Article
- Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables.Science advances · 2024Article
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- Use of Epic Electronic Health Record System for Health Care Research: Scoping Review.Journal of medical Internet research · 2023Article
- Prevalence, incidence, and treatment of anaemia in patients with non-dialysis-dependent chronic kidney disease: findings from a retrospective real-world study in Italy.Journal of nephrology · 2023Observational
- Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU.Artificial intelligence in medicine · 2023Article
- "In conferences, everyone goes 'health data is the future' ": an interview study on challenges in re-using EHR data for research in Clinical Data Warehouses.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability.Journal of digital imaging · 2022Article
- Reimagining Connected Care in the Era of Digital Medicine.JMIR mHealth and uHealth · 2022Article
- Medical-Blocks-A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results.JMIR formative research · 2022Article
- The ethical challenges facing the widespread adoption of digital healthcare technology.Health and technology · 2022Article
- Key observations in terms of management of electronic health records from a mHealth perspective.mHealth · 2022Review
- Identification of predictors and model for predicting prolonged length of stay in dengue patients.Health care management science · 2021Article
- Clinical Decision Support Systems.Visceral medicine · 2021Review
- Big Data in Nephrology.Nature reviews. Nephrology · 2021Review
- Protecting Mental Health Data Privacy in India: The Case of Data Linkage With Aadhaar.Global health, science and practice · 2021Article
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
Recent advances in data collection during routine health care in the form of Electronic Health Records (EHR), medical device data (e.g., infusion pump informatics, physiological monitoring data, and insurance claims data, among others, as well as biological and experimental data, have created tremendous opportunities for biological discoveries for clinical application. However, even with all the advancement in technologies and their promises for discoveries, very few research findings have been translated to clinical knowledge, or more importantly, to clinical practice. In this paper, we identify and present the initial work addressing the relevant challenges in three broad categories: data, accessibility, and translation. These issues are discussed in the context of a widely used detailed database from an intensive care unit, Medical Information Mart for Intensive Care (MIMIC III) database.
Indexed as
Identifiers
29854102PMC5977694What 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.