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Data visualization and large nursing datasets.

New data visualization software applications allows for the discovery of patterns and trends in large datasets that might not be apparent with traditional data visualization approaches. The purpose of this research was to data mine an existing large dataset utilizing software developed for high-end...

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Published in:Online Journal of Nursing Informatics Vol. 14; no. 2; pp. 1 - 14
Main Authors: Vincent D, Hastings-Tolsma M, Effken J
Format: research tables/charts Journal Article
Published: HIMSS Foundation Summer2010
Online Access:View this record in EBSCOhost
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      dt: Summer2010
      vid: 14
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      pub: HIMSS Foundation
      place: Kittanning, Pennsylvania
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        atl: Data visualization and large nursing datasets.
      aug:
        au:
          Vincent D
          Hastings-Tolsma M
          Effken J
      sug:
        subj:
          Data Analysis Methods
          Software Evaluation
          Body Mass Index
          Data Analysis Software
          Descriptive Statistics
          Female
          Human
          Midwifery
          Parity
          Perineum Injuries
          Pregnancy
          Secondary Analysis
          Severity of Injury
          Female
      ab: New data visualization software applications allows for the discovery of patterns and trends in large datasets that might not be apparent with traditional data visualization approaches. The purpose of this research was to data mine an existing large dataset utilizing software developed for high-end visual applications to determine whether new patterns or trends that were not evident in prior analyses might be uncovered (Hastings-Tolsma, Vincent, Emeis, & Francisco, 2007). Nurse midwifery data (N=510) had previously been examined to identify factors related to perineal trauma in childbirth; this research reanalyzed the data using Tableau software. Lessons learned about the use of data visualization are presented and challenges and opportunities for using this tool to explore large data sets are discussed.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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