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Related Experiment Videos

Methodological considerations: using large data sets.

M K Pabst1

  • 1Rush University College of Nursing, USA. mpabst@rushu.rush.edu

Outcomes Management for Nursing Practice
|March 20, 2002
PubMed
Summary

Outcomes research utilizes large datasets. Careful planning for data storage, collection, and retrieval is crucial, with new technologies enhancing efficiency and researcher control.

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Area of Science:

  • Health outcomes research
  • Data management in clinical studies

Background:

  • Outcomes research frequently involves large-scale data.
  • Effective data handling is essential for study integrity.

Purpose of the Study:

  • To highlight critical considerations for data management in outcomes research.
  • To emphasize the impact of emerging technologies on data processes.

Main Methods:

  • Discussion of best practices in data storage and retrieval.
  • Exploration of technological advancements in data collection.

Main Results:

  • New technologies offer cost-effective and efficient data solutions.
  • Researchers gain greater control over the data lifecycle.

Conclusions:

  • Proactive planning for data management is vital for successful outcomes research.
  • Technological integration optimizes data processes, improving research outcomes.

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