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

Ethical Standards II01:23

Ethical Standards II

795
Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
795
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

410
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
410
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

124
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...
124
Ethical Standards I01:25

Ethical Standards I

962
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
962
Study Design in Statistics01:15

Study Design in Statistics

8.5K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.5K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

782
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...
782

You might also read

Related Articles

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

Sort by
Same author

Quality Assessment in Paediatric Cardiology: Experiences from Leveraging a Clinical Data Warehouse.

Life (Basel, Switzerland)·2026
Same author

Expert Evaluation of an AI Governance and Ethics Framework Implemented at a University Hospital.

Studies in health technology and informatics·2026
Same author

REDCap Ontology Annotation Made Easy (ROME) - A REDCap Module for Simplified Metadata Element Annotation.

Studies in health technology and informatics·2026
Same author

Medical Informatics Initiative and the German Portal for Medical Research Data: Alignment with EHDS Regulation.

Studies in health technology and informatics·2026
Same author

Therapeutic Drug Monitoring of Imatinib in Paediatric Chronic Myeloid Leukaemia: Towards Practical Implementation and Interpretation of Measured Plasma Concentrations.

Clinical pharmacokinetics·2026
Same author

A comprehensive European Colorectal Cancer Cohort dataset.

Scientific data·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: Sep 9, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.4K

PED-DATA: A Privacy-Preserving Framework for Data-Driven, Pediatric Multi-Center Studies.

Gorkem Yilmaz1, Jonathan M Mang2, Markus Metzler1

  • 1Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Studies in Health Technology and Informatics
|September 3, 2025
PubMed
Summary
This summary is machine-generated.

A new module called PED-DATA enables decentralized analysis of pediatric data from multiple centers, establishing precise reference intervals while ensuring data privacy. This tool is crucial for advancing pediatric research and clinical care.

Keywords:
Data AnonymizationMedicalMulticenter StudyPediatricsReference ValuesSoftware

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K
A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

532

Related Experiment Videos

Last Updated: Sep 9, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.4K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K
A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)
07:01

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

532

Area of Science:

  • Medical Informatics
  • Pediatric Research
  • Data Science

Background:

  • Data-driven analysis of clinical databases offers efficient knowledge generation, particularly for pediatric studies with ethical and practical constraints.
  • The multi-center PEDREF 2.0 study aims to establish pediatric reference intervals using data from over 20 German tertiary care centers.
  • Existing frameworks required a customized module for distributed pediatric analyses to meet specific study needs.

Purpose of the Study:

  • To develop and implement a privacy-preserving module for decentralized analysis of pediatric data.
  • To facilitate the establishment of precise pediatric reference intervals through multi-center data collaboration.
  • To address the unique challenges of pediatric data analysis in a distributed research environment.

Main Methods:

  • Development and deployment of the Pediatric Distributed Analysis, Anonymization, and Aggregation Module (PED-DATA).
  • PED-DATA is a containerized application enabling decentralized data transformation, anonymization, and analysis.
  • The module ensures compliance with data protection regulations for distributed multi-center studies.

Main Results:

  • Preliminary analysis of data from 15 centers involved over 52 million laboratory test results from 750,000+ patients.
  • Established pediatric reference intervals with unprecedented precision.
  • Demonstrated the capability to analyze large-scale pediatric datasets in a decentralized manner.

Conclusions:

  • PED-DATA enables privacy-respecting, decentralized multi-center pediatric studies.
  • The module's successful implementation in the PEDREF 2.0 study validates its real-world utility.
  • Facilitates advancements in pediatric research through secure, large-scale data analysis.