Nurses' Roles in Artificial Intelligence Implementation: Results from a Mixed-Methods Study

  • Meghan Reading Turchioe
  • , Christianna Pepingco
  • , Kay Lytle
  • , Robin Austin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opportunities for the nursing profession as it prepares for an era of healthcare delivery enriched by artificial intelligence (AI). We found that nursing practice is currently, and will continue to be, directly influenced by AI in healthcare. Educating and training nurses so that they may safely and effectively use AI in their clinical practice and engage in implementation planning and evaluation will help overcome predicted challenges. Defining the key tenets of AI literacy for nurses and re-envisioning nursing models of care in the context of AI-enriched healthcare are important next steps for nursing informaticists. If embraced, AI has the potential to support the existing nursing workforce in the context of major shortages and augment the safe and high-quality care that nurses can deliver.

Original languageEnglish (US)
Title of host publicationInnovation in Applied Nursing Informatics
EditorsGillian Strudwick, Nicholas R. Hardiker, Glynda Rees, Robyn Cook, Robyn Cook, Young Ji Lee
PublisherIOS Press BV
Pages223-227
Number of pages5
ISBN (Electronic)9781643685274
DOIs
StatePublished - Jul 24 2024
Event16th International Congress on Nursing Informatics, NI 2024 - Manchester, United Kingdom
Duration: Jul 28 2024Jul 31 2024

Publication series

NameStudies in Health Technology and Informatics
Volume315
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference16th International Congress on Nursing Informatics, NI 2024
Country/TerritoryUnited Kingdom
CityManchester
Period7/28/247/31/24

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

  • Artificial intelligence
  • machine learning
  • nurse roles
  • workforce issues

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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