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 Experiment Videos

Data mining as a tool for research and knowledge development in nursing.

Anne M Berger1, Charles R Berger

  • 1Southern New Hampshire Medical Center, Nashua, NH, USA. anne.berger.1@bc.edu

Computers, Informatics, Nursing : CIN
|November 3, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The Patient Passport Program: An Intervention to Improve Patient-Provider Communication for Hospitalized Minority Children and Their Families.

Academic pediatrics·2016
Same author

Inflammation associated with obesity: relationship with blood and bone marrow endothelial cells.

Obesity (Silver Spring, Md.)·2011
Same author

Linking equitability to quality: the development of a pediatric nursing e-quality measure.

Nursing administration quarterly·2008
Same author

Portrayals of food practices and exercise behavior in popular American films.

Journal of nutrition education and behavior·2005
Same author

Imported care: recruiting foreign nurses to U.S. health care facilities.

Health affairs (Project Hope)·2004

Data mining transforms vast healthcare data into actionable knowledge for nursing practice. Nurse researchers can leverage this technology to uncover hidden patterns and improve evidence-based care.

Area of Science:

  • Health Informatics
  • Data Science
  • Nursing Research

Background:

  • Healthcare data volume has surged, necessitating advanced analytical methods.
  • Evidence-based practice and outcomes research require extracting meaningful insights from clinical data.
  • Existing data repositories hold valuable information for improving patient care and nursing practice.

Purpose of the Study:

  • To highlight the potential of data mining in healthcare.
  • To emphasize the role of nurse researchers in knowledge discovery.
  • To advocate for the use of data mining to enhance nursing practice and interdisciplinary collaboration.

Main Methods:

  • Data mining, a process within Knowledge Discovery in Databases (KDD).
  • Utilizes statistical analysis, artificial intelligence, and machine learning.

Related Experiment Videos

  • Analyzes large datasets to identify patterns and relationships.

    • Main Results:

    • Data mining uncovers hidden patterns and relationships in massive datasets.
    • It transforms raw clinical data into understandable and useful knowledge.
    • Facilitates the advancement of evidence-based nursing practice.

    Conclusions:

    • Nurse researchers are well-positioned to utilize data mining.
    • Data mining can significantly enhance nursing practice through knowledge discovery.
    • This technology supports interdisciplinary collaboration and research in healthcare.