Jove
Visualize
Contact Us

Related Concept Videos

Data Collection I01:30

Data Collection I

9.0K
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...
9.0K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.3K
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...
1.3K
Data Collection II01:29

Data Collection II

10.5K
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...
10.5K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.4K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.4K

You might also read

Related Articles

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

Sort by
Same author

Contextualizing Causation of Uncertainty in Medical Reporting.

Journal of the American College of Radiology : JACR·2017
Same author

Strategies for medical data extraction and presentation part 2: creating a customizable context and user-specific patient reference database.

Journal of digital imaging·2015
Same author

Strategies for medical data extraction and presentation part 1: current limitations and deficiencies.

Journal of digital imaging·2015
Same author

WITHDRAWN: A Crisis in Confidence: A Combined Challenge and Opportunity for Medical Imaging Providers.

Journal of the American College of Radiology : JACR·2013
Same author

Radiology report innovation: the antidote to medical imaging commoditization.

Journal of the American College of Radiology : JACR·2012
Same author

Influence of radiology report format on reading time and comprehension.

Journal of digital imaging·2011
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 Experiment Video

Updated: Apr 15, 2026

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

16.7K

Strategies for Medical Data Extraction and Presentation Part 3: Automated Context- and User-Specific Data Extraction.

Bruce Reiner1

  • 1Department of Radiology, Baltimore VA Medical Center, 10 North Greene Street, Baltimore, MD, 21201, USA, breiner1@comcast.net.

Journal of Digital Imaging
|April 3, 2015
PubMed
Summary
This summary is machine-generated.

Current medical data extraction faces challenges like poor integration and manual workflows, leading to errors. New user-specific, context-aware templates can improve data accuracy and clinical decision-making.

More Related Videos

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

9.3K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

25.1K

Related Experiment Videos

Last Updated: Apr 15, 2026

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

16.7K
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

9.3K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

25.1K

Area of Science:

  • Medical Informatics
  • Health Information Systems
  • Clinical Data Management

Background:

  • Current medical data extraction is hindered by fragmented information systems, manual processes, and lack of standardized databases.
  • These limitations lead to overlooked clinical data, impacting patient outcomes through medical errors, diagnostic uncertainty, and treatment delays.
  • Existing technologies are often inflexible, failing to meet the needs of diverse end-users.

Purpose of the Study:

  • To propose alternative technology development strategies for medical data extraction.
  • To address limitations by incorporating user profiles, customization, and context specificity.
  • To outline the theoretical benefits of context- and user-specific data extraction templates.

Main Methods:

  • Development of end-user profile groups based on occupational differences.
  • Implementation of customization options for individual user needs and preferences.
  • Ensuring context specificity of data relevant to tasks and subject matter.

Main Results:

  • Theoretical benefits include automated workflows and improved data search completeness.
  • Enhanced ability to track and verify data sources.
  • Potential for computerized decision support, learning tools, and data-driven best practices.

Conclusions:

  • Context- and user-specific data extraction templates offer significant theoretical advantages over current methods.
  • These tailored approaches can mitigate existing limitations in medical data extraction.
  • The proposed strategy promises to enhance clinical decision-making and improve patient care through better data utilization.