ArticleJournal of the American Medical Informatics Association : JAMIA2022
The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed.
- Methodological innovations to advance substance use disorder research: Proceedings of a NIDA workshop on target trial emulation and translational testing of digital health tools.Journal of substance use and addiction treatment · 2026Article
- Identifying sex-specific sub-phenotypes of Alzheimer's disease progression using longitudinal electronic health records.EBioMedicine · 2026Article
- Develop and validate a fair machine learning model to identify patients with high data-continuity in electronic health records data.JAMIA open · 2026Article
- Brevetoxins and emergency department visits among children: A case-crossover study of Florida red tides.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records.medRxiv : the preprint server for health sciences · 2026Article
- Design and Implementation of a State-Wide Network for Near Real-Time Public Health Surveillance and Research: The Minnesota Electronic Health Record Consortium Experience.Learning health systems · 2026Article
- Feasibility of identifying factors related to Alzheimer's disease and related dementia in real-world data.JAMIA open · 2026Review
- Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.Journal of medical Internet research · 2026Article
- Characterizing Alzheimer's Disease and Related Dementia in a Hypertension Population Within the State of Florida Using Electronic Health Record-Based Data.Clinical pharmacology and therapeutics · 2026Article
- Characteristics of Pregnancy-related Health Events Across Care Settings Nationwide in PCORnet®.Medical care · 2026Article
- Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records.Proceedings. IEEE International Conference on Healthcare Informatics · 2026Article
- Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.Depression and anxiety · 2026Article
- Development and Validation of an Electronic Health Record-Based Algorithm for Identifying Patients With Long-Term Opioid Therapy: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Developing a Data Trust Model (Not Only) for Sleep Research: Conceptual Study and Quantitative Survey.JMIR human factors · 2025Article
- Usability and Acceptance of In-App Social-Interacting Features for Promoting Adherence to Computerized Cognitive Training: A Pilot Evaluation.Journal of cognitive enhancement : towards the integration of theory and practice · 2025Article
- Heterogeneous Effects of Sodium-Glucose Cotransporter-2 Inhibitors on Acute Kidney Injury: A Causal Learning Approach.medRxiv : the preprint server for health sciences · 2025Article
- Develop and Validate A Fair Machine Learning Model to Indentify Patients with High Care-Continuity in Electronic Health Records Data.medRxiv : the preprint server for health sciences · 2025Article
- A real-world cohort study of immune-related adverse events in patients receiving immune checkpoint inhibitors.NPJ precision oncology · 2025Article
- External validation of an AI-based preoperative frailty index using real-world data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Article
3 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
16 authors.
Funding
Abstract
The OneFlorida Data Trust is a centralized research patient data repository created and managed by the OneFlorida Clinical Research Consortium ("OneFlorida"). It comprises structured electronic health record (EHR), administrative claims, tumor registry, death, and other data on 17.2 million individuals who received healthcare in Florida between January 2012 and the present. Ten healthcare systems in Miami, Orlando, Tampa, Jacksonville, Tallahassee, Gainesville, and rural areas of Florida contribute EHR data, covering the major metropolitan regions in Florida. Deduplication of patients is accomplished via privacy-preserving entity resolution (precision 0.97-0.99, recall 0.75), thereby linking patients' EHR, claims, and death data. Another unique feature is the establishment of mother-baby relationships via Florida vital statistics data. Research usage has been significant, including major studies launched in the National Patient-Centered Clinical Research Network ("PCORnet"), where OneFlorida is 1 of 9 clinical research networks. The Data Trust's robust, centralized, statewide data are a valuable and relatively unique research resource.
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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.