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

Data Validation01:15

Data Validation

194
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
194
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

136
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
136
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

615
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
615
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

5.4K
5.4K
Data Collection I01:30

Data Collection I

6.3K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.3K
Transfer Function to State Space01:23

Transfer Function to State Space

321
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
321

You might also read

Related Articles

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

Sort by
Same author

Implementing informed consent in federated medical research: a blueprint designed to safeguard data subject rights in Germany.

Journal of translational medicine·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

A FHIR-Based Dashboard as an Integrated Research Patient Record and Quality Assurance Tool.

Studies in health technology and informatics·2026
Same author

Development of a guideline-based clinical decision support system for emergency department assessment of suspected non-ST-elevation acute coronary syndromes.

Clinical research in cardiology : official journal of the German Cardiac Society·2026
Same author

Microbial and inflammatory profiling of pressure injuries and urinary tract infections in spinal cord injury: a prospective cohort study.

Scientific reports·2026
Same author

The impact of acute coronary syndrome on long-term survival in cancer patients.

Cardio-oncology (London, England)·2026
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

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

Related Experiment Video

Updated: Jul 30, 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

1.3K

No Transfer Without Validation: A Data Sharing Framework Use Case.

Hauke Hund1, Reto Wettstein2, Christopher Hampf3

  • 1GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany.

Studies in Health Technology and Informatics
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

Ensuring data uniformity and secure transfer is key for cross-organizational analysis of real-world patient data. This study presents a validated process for transferring COVID-19 data, enabling research across healthcare providers.

Keywords:
BPMNData SharingFHIRFrameworkOpen SourceValidation

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
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

Related Experiment Videos

Last Updated: Jul 30, 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

1.3K
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
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

Area of Science:

  • Health Informatics
  • Data Science in Medicine
  • Medical Research Infrastructure

Background:

  • Real-world patient data is crucial for research but challenging to access across institutions.
  • Lack of data uniformity (syntactic and semantic) hinders data analysis and sharing.
  • Secure and validated data transfer is essential for multi-institutional research initiatives.

Purpose of the Study:

  • To present a data transfer process for ensuring syntactic and semantic uniformity of real-world patient data.
  • To enable secure and validated transfer of pseudonymized data to a central research repository.
  • To provide feedback on the success or failure of data transfer processes.

Main Methods:

  • Implementation of a data transfer process using the Data Sharing Framework.
  • Validation of COVID-19 datasets at patient enrolling organizations.
  • Secure transfer of data as Fast Healthcare Interoperability Resources (FHIR) to a central repository.

Main Results:

  • A functional data transfer process was implemented and utilized within the CODEX project.
  • The process ensures only valid and pseudonymized data is transferred.
  • Feedback mechanisms on transfer success/failure were established.

Conclusions:

  • The presented data transfer process effectively facilitates the analysis of real-world patient data across organizations.
  • The implementation supports secure and standardized data exchange for medical research, exemplified by COVID-19 data.
  • This approach addresses key challenges in data accessibility and uniformity for collaborative research.