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Data mining: a strategy for knowledge development and structure in nursing practice.

L R Eriksen1, J P Turley, D Denton

  • 1Department of Nursing Systems and Technology, University of Texas-Houston School of Nursing 77030, USA.

Studies in Health Technology and Informatics
|December 8, 1996
PubMed
Summary
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Data mining offers valuable insights for healthcare decision-making, enhancing clinical practice and administrative efficiency. This technique can significantly advance nursing knowledge and its structures.

Area of Science:

  • Nursing Informatics
  • Health Services Research
  • Data Science

Background:

  • Data mining is underutilized in nursing and healthcare compared to business.
  • Effective data mining can improve clinical and administrative decision-making.
  • This paper explores data mining's relevance to nursing.

Purpose of the Study:

  • To introduce data mining concepts and techniques to nurses and nurse administrators.
  • To highlight the potential of data mining in developing nursing knowledge.
  • To provide a practical example of data mining in an inpatient setting.

Main Methods:

  • Review of data mining concepts and techniques.
  • Application of data mining in an inpatient healthcare setting.
  • Discussion of insights gained from the data mining process.

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Main Results:

  • Data mining provides a structured approach to analyzing healthcare data.
  • The application demonstrated the potential for identifying patterns and improving care.
  • Insights gained can inform evidence-based nursing practice.

Conclusions:

  • Data mining is a powerful tool for advancing nursing science and practice.
  • Nurses and administrators can leverage data mining for better decision-making.
  • Further exploration and adoption of data mining in healthcare are recommended.