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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

493
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
493
Archival Research01:40

Archival Research

16.0K
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...
16.0K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
ER Retrieval Pathway01:45

ER Retrieval Pathway

3.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
3.9K
Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K

You might also read

Related Articles

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

Sort by
Same author

Association of primary care telehealth with preventable healthcare utilization and care continuity among patients with chronic conditions.

NPJ digital medicine·2026
Same author

Prevalence of infection in amputations in patients with diabetic foot ulcer: a retrospective study.

Frontiers in clinical diabetes and healthcare·2026
Same author

Potential for Bias in Social Needs Data Collection and Screening Activities in Health Care Settings.

JAMA health forum·2026
Same author

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.

Journal of medical Internet research·2026
Same author

Performance of 2-stage health-related social needs screening using area-level measures.

The American journal of managed care·2026
Same author

Protocol for a Single-Arm Pilot Clinical Trial: Developing and Evaluating a Machine Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE).

Journal of clinical medicine·2025

Related Experiment Video

Updated: Jul 23, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K

Enhancing an enterprise data warehouse for research with data extracted using natural language processing.

Tanja Magoc1, Russell Everson2, Christopher A Harle3

  • 1College of Medicine, University of Florida, Gainesville, FL, USA.

Journal of Clinical and Translational Science
|July 17, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a generalizable architecture to integrate natural language processing (NLP) data into enterprise data warehouses for research (EDW4R). This enhances data availability for researchers without requiring NLP expertise, demonstrating significant value addition.

Keywords:
ETLNatural language processingdata serviceelectronic health recordsenterprise data warehouse for researchrule-basedsmoking behavior

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

16.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

318

Related Experiment Videos

Last Updated: Jul 23, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K
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

16.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

318

Area of Science:

  • Biomedical Informatics
  • Health Data Science
  • Clinical Research Informatics

Background:

  • Enterprise Data Warehouses for Research (EDW4R) often lack comprehensive data from clinical notes.
  • Natural Language Processing (NLP) can extract valuable discrete data from unstructured clinical narratives.
  • Integrating NLP-derived data into EDW4R can significantly enhance research capabilities.

Purpose of the Study:

  • To develop a generalizable architecture for enhancing EDW4R with NLP model outputs.
  • To make discrete data from clinical notes broadly available for research without requiring NLP expertise.
  • To quantify the added value of information extracted from clinical narratives for EDW4R.

Main Methods:

  • An existing NLP model was evaluated using clinical notes from one month at an academic health center.
  • Manual review was used for NLP model performance analysis.
  • A detailed, reproducible architecture for enhancing EDW4R was described.

Main Results:

  • The EDW4R was enhanced with data from 250 million clinical notes in two weeks.
  • NLP generated a 16% and 39% increase in data availability for two key variables.
  • An independent team confirmed high positive predictive value for the NLP model.

Conclusions:

  • The developed architecture is highly generalizable to new NLP models.
  • NLP significantly adds value to data already present in structured formats within EDW4R.
  • Enhancing EDW4R with NLP-extracted data empowers research teams lacking NLP expertise.