How can you influence AI success in the short and long term?
This article is part of a series that examines the three primary questions that nursing leaders are asking themselves about AI and provides the data-backed answers. The question answered in this piece is: How can you influence AI success in the short and long term? To learn more, read Nursing AI Benchmarks: Select the Investments and Nursing AI Benchmarks: Prove Success.
Key Takeaways
End-user resistance to adoption is highest among respondents who have deployed ambient nursing documentation (71%) and AI-generated handoff reports (67%), so change management efforts, via targeted messaging and information campaigns, should focus on those two tools.
Nurse support for AI rose from 28% to 51% after nurses saw evidence-based information about it, and AI pilot outcomes data was the information they asked for most.
Clinical or AI-specialist leaders rarely hold ultimate decision authority for AI strategy in the health system and are more likely than IT leaders to be unsure of AI's ROI (55% vs. 41%).