PEDSpace


Welcome to PEDSpace, a public data bank repository powered by PEDSnet. PEDSpace serves as a centralized hub where digital assets generated during PEDSnet studies are made readily accessible to researchers, clinicians, and stakeholders worldwide.

In PEDSpace, users can explore a wealth of resources to facilitate impactful research endeavors. Among these assets are meticulously defined variables, curated code sets, and modules for assessing data quality. Each component is designed to empower researchers with the tools necessary to navigate complex pediatric healthcare data effectively.

Deposit DataPEDSnet HomeAbout
Photo by @inspiredimages

Explore PEDSpace Collections

Recent Submissions

  • Thumbnail Image
    Development and Validation of an LLM-Based Pipeline for Transcranial Doppler Interpretation in Pediatric Sickle Cell Disease​
    Created:2026-05Affiliation:PEDSnet Data Coordinating Center; Applied Clinical Research Center, Children's Hospital of Philadelphia
    Slide deck presented by Sahal Master, BDS, MPH at the American Medical Informatics Association (AMIA) 2026 Clinical Informatics Conference. This presentation describes the work done at the PEDSnet learning health system to develop an LLM pipeline for the extraction of measurements from clinical notes data as part of a study with PEDSnet collaborator, Dr. Aleksandra Dain. Specifically, this case study evaluated an LLM pipeline for artery-level velocity extraction for transcranial doppler outcome classification. #### Funding Statement The research reported in this presentation was conducted using PEDSnet, A Pediatric Clinical Research Network. PEDSnet has been developed with funding from the Patient-Centered Outcomes Research Institute (PCORI); PEDSnet’s participation in PCORnet is funded through PCORI award RI-CHOP-01-PS10. This presentation includes data from the Children’s Hospital of Philadelphia. Research reported in this presentation was supported by grant 1P30HS029755 funded by the Agency of Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI®) through a research collaboration. The opinions presented in this presentation are solely the responsibility of the author(s) and do not necessarily represent the views of AHRQ, the U.S. Department of Health and Human Services, or PCORI®.
  • Thumbnail Image
    NotesViewer
    Created:2026-06Affiliation:PEDSnet Data Coordinating Center; Applied Clinical Research Center, Children's Hospital of Philadelphia
    NotesViewer is an interactive Shiny web application for exploring PostgreSQL tables. It provides a flexible UI for connecting to a database, selecting tables, applying server‑side filters, and visualising rows as cards, tables, or profiling summaries. The app is designed for quick ad‑hoc data inspection without writing SQL manually.
  • Thumbnail Image
    Leveraging the PEDSnet Clinical Research Network and Electronic Health Record Data to Enhance Efficiency of Trial Enrollment for a Rare Pediatric Rheumatic Disease
    Created:2026-01-31Affiliation:Children's Hospital of Philadelphia; Perelman School of Medicine at the University of Pennsylvania; Nationwide Children's Hospital; Colorado Children's Hospital; Washington University School of Medicine; Nemours Children's Hospital; University of Washington
    **Background:**
    We evaluated the PEDSnet clinical research network for study enrollment of juvenile spondyloarthritis, a rare rheumatic disease that includes enthesitis-related arthritis (ERA) and psoriatic arthritis (PsA). **Methods:**
    An electronic health record (EHR)-based typology was developed by an interdisciplinary team to query EHR data for a spectrum of pediatric rheumatic diseases (2009–2023) from 8 PEDSnet centers. The prevalence, characteristics and drug exposures for juvenile spondyloarthritis was explored to gauge feasibility of leveraging the network for study enrollment. Next, the typology was adapted to identify subjects for a clinical trial; the efficiency of EHR typology query was compared to standard screening efforts. **Results:**
    Code sets for 35 pediatric rheumatology conditions were developed to identify potentially eligible subjects in the PEDSnet network. 2510 unique patients with juvenile spondyloarthritis across the PEDSnet health care systems over the years of study were identified. Median age at 1st rheumatology visit was 12.9 years, 50.4% were female, and the median time from 1st to last rheumatology visit was 4.2 years. The spondyloarthritis typology was adapted to screen for eligible patients for the BACK-OFF JSpA trial. Over 3-months at one institution, the query saved 19.5 h and 1.9 h of effort compared to manual screening of all juvenile arthritis or enthesitis-related arthritis patient charts, respectively. **Conclusions:**
    Results support the capacity of the PEDSnet clinical research network to facilitate identification of subjects for rare pediatric rheumatic disease studies. Typologies for these diseases were developed and can be leveraged for clinical trial recruitment to improve efficiency.
  • Thumbnail Image
    Duplicate Records: Multi Site, Anomaly Detection, Cross-Sectional Analysis
    Created:2026-03-27Affiliation:PEDSnet Data Coordinating Center
    This check provides raw data and visualizations to aid a user in evaluating whether duplicate records are present in a dataset of interest. It summarizes the proportion of duplicate rows & patients with duplicate rows, as well as the median number of duplicate rows per patient.
  • Thumbnail Image
    Duplicate Records: Single Site, Anomaly Detection, Cross-Sectional Analysis
    Created:2026-03-27Affiliation:PEDSnet Data Coordinating Center
    This check provides raw data and visualizations to aid a user in evaluating whether duplicate records are present in a dataset of interest. It summarizes the proportion of duplicate rows & patients with duplicate rows, as well as the median number of duplicate rows per patient.