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

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

907
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
907
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Archival Research01:40

Archival Research

16.4K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.4K
Purpose of Health Records I01:11

Purpose of Health Records I

1.3K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.3K
Purpose of Health Records II01:19

Purpose of Health Records II

1.0K
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
1.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

777
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...
777

You might also read

Related Articles

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

Sort by
Same author

Three little pigs and one big bad wolf: The parable of data sharing in epidemiology.

Global epidemiology·2026
Same author

Motivations and barriers regarding higher nursing education among the Maine and Massachusetts nursing workforce.

Journal of professional nursing : official journal of the American Association of Colleges of Nursing·2026
Same author

Medicare costs and home time loss among fee-for-service beneficiaries by frailty and dementia status.

The Journal of frailty & aging·2026
Same author

Prediction of exposure to chrysotile asbestos fibers among Quebec miners and millers based on impinger measurements.

Annals of work exposures and health·2026
Same author

Fear of COVID-19 over the first year of the pandemic: Effect on anxiety, depression, and substance use, taking mental health support into account.

Global epidemiology·2026
Same author

Recall bias in population-based case-control studies of ovarian cancer and genital talcum powder use: potential impact and quantitative bias analysis.

BMC medical research methodology·2026
Same journal

Impact of Health Insurance Coverage on Diabetes Care Quality: A Systematic Review and Meta-analysis of Racial, Ethnic, and Gender Disparities in U.S. Adults with Type 2 Diabetes.

Journal of general internal medicine·2026
Same journal

Assessment of Physician Advocacy Engagement: A Scoping Review and Proposal of an Assessment Tool.

Journal of general internal medicine·2026
Same journal

Relative Burden of Social Determinants of Health on Diverse Populations of Health Resources and Services Administration Health Centers.

Journal of general internal medicine·2026
Same journal

Addressing Moral Distress Among Gender-Affirming Healthcare Professionals.

Journal of general internal medicine·2026
Same journal

Trainee-Led Patient Education to Increase Advance Care Planning in a Geriatric Primary Care Clinic.

Journal of general internal medicine·2026
Same journal

Scholarly Outcomes of a Small Projects Grant Program.

Journal of general internal medicine·2026
See all related articles

Related Experiment Video

Updated: Sep 8, 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

4.7K

Are Aggregated Electronic Health Record Datasets Good for Research?

Neal D Goldstein1,2, Brianne Olivieri-Mui3,4, Igor Burstyn5

  • 1Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA. ng338@drexel.edu.

Journal of General Internal Medicine
|August 12, 2025
PubMed
Summary
This summary is machine-generated.

Aggregated electronic health record (EHR) data from multiple institutions present unique challenges and benefits. This study outlines best practices for managing these large-scale datasets for research.

Keywords:
data aggregationelectronic health recordsquantitative bias analysisvalidity

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

6.4K
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

8.3K

Related Experiment Videos

Last Updated: Sep 8, 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

4.7K
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

6.4K
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

8.3K

Area of Science:

  • Health Informatics
  • Biomedical Data Science
  • Real-World Data Research

Background:

  • Large-scale electronic health record (EHR) data platforms are increasingly pooling information across multiple healthcare organizations.
  • Platforms like NIH's All of Us, TriNetX, and Epic Cosmos exemplify this trend.
  • Aggregating EHR data across disparate systems introduces unique challenges beyond single-entity data analysis.

Purpose of the Study:

  • Define aggregated EHR data and differentiate it from other real-world data sources.
  • Highlight the specific benefits and challenges associated with working with aggregated EHR data.
  • Provide "good practices" to mitigate identified challenges and discuss the appropriateness of data pooling.

Main Methods:

  • Literature review and conceptual analysis of aggregated EHR data platforms.
  • Comparative analysis of aggregated EHR data versus other real-world data sources.
  • Identification and synthesis of best practices for managing aggregated EHR data.

Main Results:

  • Aggregated EHR data offers unique advantages for large-scale research but requires careful consideration of specific challenges.
  • Key challenges include data heterogeneity, standardization issues, and privacy concerns across multiple institutions.
  • Proposed "good practices" aim to address these challenges, enhancing data quality and research validity.

Conclusions:

  • Pooling EHR data across disparate healthcare systems is feasible but necessitates strategic approaches to overcome inherent complexities.
  • Adherence to best practices is crucial for maximizing the benefits of aggregated EHR data while minimizing risks.
  • Further discussion is needed on the optimal conditions and methodologies for pooling such data.