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

Powering Big Data for Nursing Through Partnership.

Ellen M Harper1, Sara Parkerson

  • 1Cerner Corporation, Kansas City, Missouri (Dr Harper); and Philips, Baltimore, Maryland (Ms Parkerson).

Nursing Administration Quarterly
|September 5, 2015
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

Population health: a nursing action plan.

JAMIA open·2020
Same author

Measuring Nursing Value from the Electronic Health Record.

Studies in health technology and informatics·2016
Same author

Measuring Nursing Care Value.

Nursing economic$·2016
Same author

Nursing Care Value-Based Financial Models.

Nursing economic$·2015
Same author

Engineering a learning healthcare system: using health information technology to develop an objective nurse staffing tool.

NI 2012 : 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11th : 2012 : Montreal, Quebec)·2013
Same author

The economic value of health care data.

Nursing administration quarterly·2013
Same journal

The 2025 ANA Code of Ethics: Guiding Ethical Nursing Practice in an Evolving Healthcare Landscape.

Nursing administration quarterly·2026
Same journal

Revolutionizing Frontline Leadership Through Caring Science: Five Years of the Assistant Nurse Manager Community of Practice.

Nursing administration quarterly·2026
Same journal

Just Culture and Accountability in Nursing Leadership: Closing the Experience Gap, Rebuilding Morale, and Hardwiring Reliability.

Nursing administration quarterly·2026
Same journal

Strengthening Nurse Manager Leadership Through Technology-Driven Solutions.

Nursing administration quarterly·2026
Same journal

Leadership at the Point of Care: Developing Charge Nurses for Complex Healthcare Environments.

Nursing administration quarterly·2026
Same journal

The Use of Technology to Support the Nurse and Nurse Leader: The Impact of Virtual Nursing on Organizational Goals and Outcomes.

Nursing administration quarterly·2026
See all related articles

This study identified key principles, barriers, and challenges for integrating nurse-sensitive data into big data sets. The goal is to improve healthcare quality and patient outcomes using big data in nursing.

Area of Science:

  • Healthcare Informatics
  • Nursing Science
  • Data Science

Background:

  • The Healthcare Information and Management Systems Society supported the Big Data Principles Workgroup.
  • The Workgroup aimed to address the Triple Aim challenge in healthcare.
  • Previous efforts lacked comprehensive guidelines for big data in nursing.

Purpose of the Study:

  • To identify essential principles for utilizing big data in nursing.
  • To determine barriers and challenges in incorporating nurse-sensitive data into big data sets.
  • To develop a framework for improving care quality and outcomes through big data.

Main Methods:

  • Convened a Workgroup comprising experts in big data and nursing.
  • Reviewed existing literature and best practices related to big data in healthcare.

Related Experiment Videos

  • Facilitated discussions to identify and categorize principles, barriers, and challenges.

    • Main Results:

    • Established a set of "Guiding Principles for Big Data in Nursing."
    • Identified significant barriers including data standardization, interoperability, and privacy concerns.
    • Highlighted challenges in data analysis and the translation of findings into clinical practice.

    Conclusions:

    • Big data offers significant potential for enhancing the quality of care and patient outcomes in nursing.
    • Adherence to guiding principles is crucial for effective and ethical big data utilization.
    • Overcoming identified barriers is essential for successful integration of nurse-sensitive data into big data initiatives.