ArticleJournal of general internal medicine2025
Are Aggregated Electronic Health Record Datasets Good for Research?
Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.Journal of medical Internet research · 2026Pooled it
- TriNetX LATAM Collaborative Network, an EHR Data Source in Latin America.Pharmacoepidemiology and drug safety · 2026Article
- Access and Attrition Across Audiology and Cochlear Implant Care Among Older Adults with Bilateral Sensorineural Hearing Loss.Otology & neurotology open · 2026Article
- Assessing HPV Vaccination Trends and Their Alignment with Evolving Recommendations.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026Article
- Glucagon-Like Peptide-1 Receptor Agonists and Fragility Fracture Risk in Type 2 Diabetes.JAMA network open · 2026Article
- Glucagon-like Peptide-1 Receptor Agonist Therapy and Risk of Pulmonary and Systemic Infections in Diabetic Gastroparesis: A Propensity-Matched Cohort Study.Advances in respiratory medicine · 2026Article
- A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review.Journal of biomedical informatics · 2026Article
- Article
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
Abstract
There has been a proliferation of large-scale electronic health record (EHR) data platforms that pool across multiple healthcare organizations, such as the National Institutes of Health's All of Us in the federal space and TriNetX and Epic Cosmos in the commercial space. There are unique issues that occur when EHR data are aggregated across disparate healthcare systems beyond the general-and more well known-concerns about secondary analysis of EHR data from a single entity. In this article, we define aggregated EHR data, contrasting it to other real-world data sources, highlight benefits and challenges when working with aggregated EHR data, offer several "good practices" to address these challenges, and conclude by discussing whether it is appropriate to pool these data together or not.
Indexed as
Identifiers
What Socratic 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 Socratic graph.