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Related Experiment Video

Updated: Mar 14, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

Big Data and Perioperative Nursing.

Bonnie L Westra, Jessica J Peterson

|October 4, 2016

Summary

This summary is machine-generated.

Perioperative nurses generate valuable big data through electronic health records. Improving data quality and standardization enhances clinical decisions, quality improvement, and nursing big data science for better patient care.

Keywords:

big data nursing informatics nursing knowledge perioperative nursing quality care

Related Experiment Videos

Last Updated: Mar 14, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

Area of Science:

Nursing Informatics
Health Data Science
Big Data Analytics

Background:

Big data, characterized by volume, velocity, variety, veracity, and value, presents analytical challenges.
Perioperative nurses are key contributors to big data through electronic health record (EHR) documentation.
These nursing-generated data hold significant potential for clinical, administrative, and quality improvement applications.

Purpose of the Study:

To explore methods for enhancing the quality of perioperative nursing data.
To provide examples of integrating perioperative nursing data with broader nursing datasets for quality improvement initiatives.
To discuss a national action plan for nursing knowledge and big data science, encouraging perioperative nurse engagement.

Main Methods:

Literature review on big data characteristics and nursing data quality.
Analysis of current practices in perioperative nursing documentation within EHRs.
Exploration of strategies for data standardization and integration.

Main Results:

Identified methods to improve the quality and standardization of perioperative nursing data.
Demonstrated potential for combining perioperative data with other nursing data for enhanced quality improvement.
Highlighted the importance of a national action plan for nursing big data science.

Conclusions:

Standardized perioperative nursing data can significantly impact healthcare beyond individual patient care.
Perioperative nurses play a crucial role in advancing nursing big data science.
Collaborative action is essential for perioperative nurses to transform healthcare through big data.