ArticleJournal of the American Medical Informatics Association : JAMIA
PEDSnet: a National Pediatric Learning Health System.
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 135 papers, 2 of them syntheses 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
135 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Learning competing risks across multiple hospitals: one-shot distributed algorithms.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.Journal of biomedical informatics · 2024Pooled it
- Development and evaluation of a computable phenotype to identify pediatric patients with leukemia and lymphoma treated with chemotherapy using electronic health record data.Pediatric blood & cancer · 2019Trial
- Trial
- Pre-trained knowledge transfer with application in multisystem inflammatory syndrome subphenotyping in children.npj health systems · 2026Article
- Disparities in Adolescent and Young Adult Obesity Medication Dispensing: A Retrospective Linked EHR-Pharmacy Cohort, 2020-2025.Obesity (Silver Spring, Md.) · 2026Article
- External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data.Critical care explorations · 2026Article
- Article
- Beyond Missingness: Systematizing Methods for Comprehensive Data Fitness Assessment in Clinical Research.Journal of medical Internet research · 2026Article
- Using a multi-institutional pediatric learning health system to characterize induction therapy for incident lupus nephritis in children.Pediatric nephrology (Berlin, Germany) · 2026Article
- Assessing the Performance of CCCv3 in Epic Cosmos: A Foundation for Future Innovation.Hospital pediatrics · 2026Article
- Community Provider Perspectives on an Autism Learning Health Network: A Qualitative Study.Journal of autism and developmental disorders · 2026Article
- A comparative analysis estimating aspergillosis and histoplasmosis encounters among inpatients in the United States using multi-regional electronic health record and National Discharge Data, 2014-2020.AJE advances : research in epidemiology · 2026Article
- Predicting Weight Outcomes From Obesity Medications in a Paediatric Population.Pediatric obesity · 2026Article
- Leveraging the PEDSnet clinical research network and electronic health record data to enhance efficiency of trial enrollment for a rare pediatric rheumatic disease.Pediatric rheumatology online journal · 2026Article
- Improvement science as the engine for the next generation of learning health networks.Frontiers in health services · 2026Article
- Generating Advancements in Longitudinal Analysis in X and Y Variations: Rationale, Methods, and Diagnostic Characteristics for the GALAXY Registry.American journal of medical genetics. Part A · 2026Article
- Advancing Real-World Evidence Generation: Growth and Lessons Learned from the Early Years of Cosmos.ACI open · 2026Review
- Article
- Data science for pediatric infectious disease: utilizing COVID-19 as a model.Current opinion in infectious diseases · 2025Review
75 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
11 authors.
Funding
Abstract
A learning health system (LHS) integrates research done in routine care settings, structured data capture during every encounter, and quality improvement processes to rapidly implement advances in new knowledge, all with active and meaningful patient participation. While disease-specific pediatric LHSs have shown tremendous impact on improved clinical outcomes, a national digital architecture to rapidly implement LHSs across multiple pediatric conditions does not exist. PEDSnet is a clinical data research network that provides the infrastructure to support a national pediatric LHS. A consortium consisting of PEDSnet, which includes eight academic medical centers, two existing disease-specific pediatric networks, and two national data partners form the initial partners in the National Pediatric Learning Health System (NPLHS). PEDSnet is implementing a flexible dual data architecture that incorporates two widely used data models and national terminology standards to support multi-institutional data integration, cohort discovery, and advanced analytics that enable rapid learning.
Indexed as
Identifiers
What 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.