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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

321
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
321
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.5K
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...
1.5K
Data Collection II01:29

Data Collection II

10.4K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
10.4K
Nominal Level of Measurement00:56

Nominal Level of Measurement

41.7K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
41.7K
Observational Studies01:11

Observational Studies

11.4K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.4K
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

36.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
36.8K

You might also read

Related Articles

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

Sort by
Same author

GLP-1 Receptor Agonists and Age-related Macular Degeneration Risk in Diabetes or Non-diabetic Obesity: A Retrospective Cohort Study.

The American journal of medicine·2026
Same author

Association between preoperative serum albumin and long-term all-cause mortality after percutaneous vertebroplasty for vertebral compression fracture.

PloS one·2026
Same author

Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort Study.

JMIR formative research·2026
Same author

Effectiveness of maternal influenza vaccine to infants: A population-based cohort study.

Pediatrics and neonatology·2026
Same author

Additive Association of <i>ABCG2</i> rs4148155 and <i>SLC22A12</i> rs75786299 Polymorphisms with Hyperuricemia, Gout, and Nephrolithiasis: A Hospital-Based, Case-Control Study.

Kidney diseases (Basel, Switzerland)·2026
Same author

Hypothyroidism and Risk of Inflammatory Bowel Disease: Influence of Age and Race in a Global Cohort.

Rhode Island medical journal (2013)·2026
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.8K

An exploratory study using an openEHR 2-level modeling approach to represent common data elements.

Ching-Heng Lin1, Yang-Cheng Fann2, Der-Ming Liou3

  • 1Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.

Journal of the American Medical Informatics Association : JAMIA
|February 26, 2016
PubMed
Summary
This summary is machine-generated.

The openEHR approach can model common data elements (CDEs) for clinical research data harmonization. This study shows openEHR archetypes structurally cover CDEs, enabling better data interoperability across institutions.

Keywords:
common data elementmodeling approachopenEHR archetype

More Related Videos

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K

Related Experiment Videos

Last Updated: Mar 25, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.8K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K

Area of Science:

  • Medical Informatics
  • Health Data Standards
  • Clinical Research Data Management

Background:

  • Data harmonization is crucial for multi-institutional clinical research.
  • Common Data Elements (CDEs) promote data interoperability but face structural limitations.
  • Advanced modeling structures are needed to overcome CDE limitations.

Purpose of the Study:

  • To explore the feasibility of applying the openEHR 2-level modeling approach to represent CDEs.
  • To evaluate the structural coverage and functional representation of CDEs by openEHR archetypes.

Main Methods:

  • Utilized National Institute of Neurological Disorders and Stroke General CDEs.
  • Developed a semiautomatic mapping tool for CDE to openEHR archetype mapping.
  • Modeled CDEs using the openEHR approach to assess archetype representation capabilities.

Main Results:

  • 28% of CDEs could be directly mapped to existing openEHR archetypes.
  • 53% of CDEs required archetype extension or specialization.
  • A comprehensive comparison highlighted similarities in data structure despite different modeling approaches.

Conclusions:

  • The openEHR archetype approach demonstrates structural coverage for CDEs.
  • openEHR archetypes can represent CDEs and meet their functional expectations.
  • This research provides a reference for improving CDE structure with advanced modeling.