Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Integrated Healthcare System01:20

Integrated Healthcare System

1.7K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.7K
Nursing Clinical Information System01:27

Nursing Clinical Information System

824
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
824
Pedigree Analysis01:35

Pedigree Analysis

84.5K
Overview
84.5K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

646
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
646
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

96
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
96
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

875
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
875

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Visual Explorer for Retrospective Trajectories in Children Following Heart Surgery.

Studies in health technology and informatics·2026
Same author

Empowering Vulnerable Patients at Home: A User-Centered Platform for Natural Language-Driven Integration of Home and Clinical Health Data.

Studies in health technology and informatics·2026
Same author

A Mobile Research App for Post-COVID Fatigue Monitoring.

Studies in health technology and informatics·2026
Same author

Barriers and facilitators to the implementation and adoption of computerised clinical decision support systems: an overview of reviews.

Systematic reviews·2026
Same author

Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden: Retrospective Observational Study.

JMIR formative research·2026
Same author

Identifying undiagnosed high-risk suicidality cases by matching patients with similar comorbidity burden: retrospective observational study.

JMIR formative research·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Jul 25, 2025

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.6K

Achieving Interoperable Datasets in Pediatrics: A Data Integration Approach.

Louisa Bode1, Marcel Mast1, Henning Rathert2

  • 1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany.

Studies in Health Technology and Informatics
|June 30, 2023
PubMed
Summary
This summary is machine-generated.

Creating standardized pediatric intensive care datasets is crucial for research. This study presents a data integration pipeline using openEHR to harmonize routine patient data, enabling secondary data use.

Keywords:
DatasetInteroperabilityPediatric Intensive Care Units

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.2K

Related Experiment Videos

Last Updated: Jul 25, 2025

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

4.6K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.2K

Area of Science:

  • Pediatric Intensive Care Medicine
  • Health Informatics
  • Data Science

Background:

  • Routine datasets in pediatric intensive care are often not harmonized or standardized.
  • This lack of standardization hinders the secondary use of data for research and application development.
  • Heterogeneous data silos impede knowledge gain and innovation in pediatric critical care.

Purpose of the Study:

  • To propose and implement a data integration pipeline for creating an interoperable routine dataset in pediatric intensive care.
  • To establish a standardized, harmonized database for secondary data analysis.
  • To encourage the adoption of similar data integration approaches in other pediatric intensive care units.

Main Methods:

  • A three-level approach was used: data identification from primary sources, local data integration, and conversion to a standardized format using openEHR.
  • Developed 15 openEHR templates and 31 interoperable Extract, Transform, Load (ETL) processes.
  • Anonymized and standardized data from approximately 4,200 pediatric patients were loaded into a harmonized database.

Main Results:

  • Successfully integrated anonymized, standardized data from 4,200 pediatric patients into a harmonized database.
  • Established 31 interoperable ETL processes and 15 openEHR templates.
  • Created a foundation for the secondary use of routine pediatric intensive care data.

Conclusions:

  • The proposed data integration pipeline effectively creates standardized, interoperable datasets from routine pediatric intensive care data.
  • This approach facilitates the breakdown of data silos and promotes the secondary use of valuable patient information.
  • The developed openEHR templates and ETL processes can serve as a model for other institutions.