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A model to evaluate data science in nursing doctoral curricula.

Kimberly D Shea1, Barbara B Brewer1, Jane M Carrington1

  • 1The University of Arizona, College of Nursing, Tucson, AZ.

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|December 17, 2018
PubMed
Summary

The Data Science Curriculum Organizing Model (DSCOM) helps prepare nurse scientists in data science for data-driven healthcare. This model guides curriculum development to ensure essential data science knowledge for future nurse researchers.

Keywords:
PhD educationcurriculumdata scienceframeworknursingnursing informatics

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Area of Science:

  • Nursing Education
  • Data Science
  • Healthcare Informatics

Background:

  • The American Association of Colleges of Nursing's initiatives informed the development of a new model.
  • There is a need to integrate data science into doctoral nursing programs to advance healthcare.

Purpose of the Study:

  • To present the Data Science Curriculum Organizing Model (DSCOM).
  • To guide comprehensive doctoral education in data science for nurse scientists.

Main Methods:

  • Transformed multidisciplinary data science models into the DSCOM.
  • Adapted terminology and applicability for nursing doctoral education.

Main Results:

  • The DSCOM outlines essential data science concepts, constructs, and their relationships.
  • Application of the DSCOM identified curriculum integration points and content gaps.

Conclusions:

  • The DSCOM is an effective tool for developing and evaluating data science curricula.
  • It prepares nurse scientists with crucial data science knowledge for modern healthcare.