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The Arcus Experience: Bridging the Data Science Gap for Nurse Researchers.

Eloise L FloodLorene SchweigElizabeth B FrohWarren D FrankenbergerRuth M LebetMei-Lin Chen-LimK Joy PaytonMargaret A McCabe
Published in: Nursing research (2024)
As the data science learning curve is steep, organizations need to help bridge the gap between what is currently taught in doctoral nursing programs and what is required of clinical nurse researchers to successfully engage in big-data methods. In addition, clinical nurse researchers require protected research time and a data science infrastructure that supports novice efforts with education, mentorship, and computational laboratory resources.
Keyphrases
  • big data
  • public health
  • artificial intelligence
  • machine learning
  • primary care
  • electronic health record
  • healthcare
  • quality improvement
  • mental health
  • data analysis