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Related Experiment Video

Updated: May 31, 2026

Workflow and Framework for Collecting and Implementing Point-of-Care Ultrasound Data in the Management of Heart Failure Patients
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Published on: July 12, 2024

Linking the Virtual Pediatric System and Pediatric Hospital Information System Databases to Create Novel PICU

Brian F Flaherty1, Seth Otto2, Cody S Olsen2

  • 1Department of Pediatrics, Division of Pediatric Critical Care, University of Utah, Salt Lake City, UT.

Critical Care Explorations
|May 29, 2026
PubMed
Summary

A new method successfully linked Virtual Pediatric System (VPS) and Pediatric Health Information System (PHIS) data from 31 hospitals without protected health information (PHI). This creates a robust database for pediatric intensive care unit (PICU) research.

Keywords:
Critical CareData LinkageDatabasesPediatric ICUPediatrics

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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Area of Science:

  • Health Informatics
  • Pediatric Critical Care Medicine
  • Data Science

Background:

  • A significant gap exists in national pediatric intensive care unit (PICU) databases, hindering crucial epidemiologic and quasi-experimental research.
  • Previous attempts to combine the Virtual Pediatric System (VPS) and Pediatric Health Information System (PHIS) databases were limited by restrictions on using protected health information (PHI).
  • This study aimed to link VPS and PHIS records from 31 hospitals while strictly avoiding the use of PHI.

Purpose of the Study:

  • To develop and validate a method for linking the Virtual Pediatric System (VPS) and Pediatric Health Information System (PHIS) databases without utilizing protected health information (PHI).
  • To establish a comprehensive and accurate combined dataset suitable for pediatric intensive care unit (PICU) research.
  • To overcome data limitations hindering large-scale research in pediatric critical care.

Main Methods:

  • A sequential direct plus probabilistic linkage approach was employed using de-identified records from 31 hospitals for patients discharged between January 1, 2017, and December 31, 2022.
  • Directly linked records served as a reference to assess the accuracy of probabilistic linkage, evaluating false-negative and false-positive rates.
  • Demographic and clinical variables were compared between linked and unlinked records using Cohen's Effect Size (CES) to ensure data integrity.

Main Results:

  • A total of 337,836 VPS and 3,515,595 PHIS records were processed without PHI.
  • The linkage successfully connected 94.7% (319,955) of VPS records, with direct linkage accounting for 85.7% and probabilistic linkage for 14.3%.
  • Probabilistic linkage demonstrated high accuracy with 0.21% false-negative links and no false-positive links, showing negligible differences in key patient characteristics between linked and unlinked data.

Conclusions:

  • A highly accurate linkage between VPS and PHIS database records was achieved from 31 hospitals using a combined direct and probabilistic approach, without compromising patient privacy (PHI).
  • The resulting integrated database provides a valuable, de-identified resource for conducting novel and robust research in pediatric intensive care unit (PICU) settings.
  • This methodology overcomes previous data limitations, paving the way for enhanced epidemiologic and clinical studies in pediatric critical care.