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

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection I01:30

Data Collection I

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 data...
Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

You might also read

Related Articles

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

Sort by
Same author

Practical Implications for Using Laboratory Data: Research over Federated Networks.

Studies in health technology and informatics·2026
Same author

A Large-Scale Analysis of Autologous Stem Cell Transplantation for Multiple Myeloma Patients Older than 65 Years.

Clinical lymphoma, myeloma & leukemia·2025
Same author

Automatic Outlier Detection in Laboratory Result Distributions Within a Real World Data Network.

Studies in health technology and informatics·2023
Same author

A global federated real-world data and analytics platform for research.

JAMIA open·2023
Same author

Building an i2b2-Based Population Repository for COVID-19 Research.

Studies in health technology and informatics·2022
Same author

Building an I2B2-Based Population Repository for Clinical Research.

Studies in health technology and informatics·2020
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: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Characterizing Real-World Data by Care Setting to Support Clinical Research.

Lorena Prior Muñoz1, Lydia González Cid1,2, David Perez-Rey1

  • 1Biomedical Informatics Group, Universidad Politécnica de Madrid, Spain.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Electronic Health Records (EHRs) provide valuable Real-World Data (RWD) for research. This study assessed EHR data quality across diverse healthcare settings, revealing variations influenced by encounter type, region, and the COVID-19 pandemic.

Keywords:
Data QualityElectronic Health RecordsEncounter TypesReal-World DataSite BenchmarkingTriNetX

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Related Experiment Videos

Last Updated: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Area of Science:

  • Health Informatics
  • Data Science in Healthcare
  • Clinical Research Methodology

Background:

  • Electronic Health Records (EHRs) are a primary source of Real-World Data (RWD) for clinical research.
  • Data completeness and quality in EHRs are often impacted by variations in encounter types and geographical locations.

Purpose of the Study:

  • To characterize the coverage, density, and temporal trends of clinical data within a federated research network.
  • To identify factors influencing data quality across diagnoses, procedures, laboratory tests, and medications.

Main Methods:

  • Analysis of clinical data from 110 Healthcare Organizations within a federated research network.
  • Calculation of data coverage and density across four key domains: diagnoses, procedures, laboratory tests, and medications.
  • Examination of temporal data patterns and regional variations.

Main Results:

  • Inpatient encounters demonstrated the highest data coverage and density.
  • Outpatient visits showed accumulating records over time, indicating patient engagement.
  • Regional disparities were observed, with higher procedure data density in the US and Latin America.
  • A notable decline in outpatient and emergency data occurred around 2020 due to the COVID-19 pandemic, with slower outpatient recovery.

Conclusions:

  • EHR data quality varies significantly by encounter type and region.
  • Findings support robust data quality assessment and site benchmarking for multicenter research.
  • Understanding data heterogeneity is crucial for effective utilization of RWD in research.