Close Menu
clearpathinsight.org
  • AI Studies
  • AI in Biz
  • AI in Tech
  • AI in Health
  • Supply AI
    • Smart Chain
    • Track AI
    • Chain Risk
  • More
    • AI Logistics
    • AI Updates
    • AI Startups

Physical AI does not replace farmers. It keeps them active

April 22, 2026

Supply Chain Risk and Resilience

April 22, 2026

How AI is helping Fonterra work differently within the cooperative

April 22, 2026
Facebook X (Twitter) Instagram
Facebook X (Twitter) Instagram
clearpathinsight.org
Subscribe
  • AI Studies
  • AI in Biz
  • AI in Tech
  • AI in Health
  • Supply AI
    • Smart Chain
    • Track AI
    • Chain Risk
  • More
    • AI Logistics
    • AI Updates
    • AI Startups
clearpathinsight.org
Home»AI in Healthcare»Nurses share the promise and pitfalls of AI
AI in Healthcare

Nurses share the promise and pitfalls of AI

November 30, 20240183 Mins Read
Share Facebook Twitter Pinterest Copy Link LinkedIn Tumblr Email Telegram WhatsApp
Follow Us
Google News Flipboard
11 27 Sn.jpg
Share
Facebook Twitter LinkedIn Pinterest Email Copy Link

November 27, 2024Just like in other sectors, AI also has the potential to reshape healthcare. To understand where and how AI can help, it’s essential to hear from those on the front lines of patient care: nurses. Overall, Nurses Are Cautiously Enthusiastic, Senior Associate Notes Gretchen Berlin and colleagues. About two-thirds of nurses responding to a survey say AI could be very useful in nine possible applications and more than two-thirds cite at least one opportunity to improve patient care or workload. However, they also express concern about maintaining quality of care, with 38% seeing the greatest risk in using AI for diagnostics and clinical decisions.

Surveyed nurses' opinions on the use of AI in eight clinical settings vary slightly by age and application, but tend toward the positive.

Description of images:

An interactive 2-panel bar chart presents data from a survey of 5,033 US nurses on their opinions on AI in 8 clinical applications: patient education, improved medication management, clinical training, improved diagnostic accuracy and clinical decision support, elimination of tasks to increase job satisfaction. , improve productivity, streamline administrative tasks and summarize progress notes and medical records.

The first panel displays responses for “familiarity” and “helpfulness,” and the second panel for “improving patient care or workload” and “risk to patient care.” Each section uses stacked horizontal bars to represent the percentage of nurses who rate the impact of AI on a 10-point Likert scale, with the following categorizations: “very” (7-10 points), “somewhat” (4 to 6) or “not at all” (1-3).

Respondents expressed the greatest familiarity with AI applications for patient education and improved medication management, with 37% of nurses reporting being “very familiar.” In contrast, the summary of progress notes and medical records received the highest percentage of nurses (41%) reporting that they were “not at all” familiar with AI applications in this domain. Helpfulness ratings are consistently high across all 8 applications, with “very helpful” ratings ranging from 63% (summarizing progress notes and medical records) to 70% (improving medication management and eliminating tasks for increase job satisfaction).

74% of nurses say AI is “very helpful” in improving patient care or workload to improve medication management, while only 68% feel the same about improving patient care and management. workload to summarize progress notes and medical records. The share of nurses who rated the impact of AI as “very risky” ranged from 18% (improved productivity) to 38% (improved diagnostic accuracy and clinical decision support).

Source: American Nurses Foundation Nurses Survey, March 2024.

End of image description.

To read the article, see “The Pulse of Nurses’ Perspectives on AI in Healthcare Delivery», October 1, 2024.

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link

Related Posts

If you believe in the transformative actions of AI in healthcare, this trio will reset your horizon trajectory

April 9, 2026

AWS Launches New AI Agent Platform Specifically for Healthcare

April 9, 2026

Amazon launches its healthcare AI assistant on its website and app

April 8, 2026
Add A Comment
Leave A Reply Cancel Reply

Categories
  • AI Applications & Case Studies (70)
  • AI in Business (413)
  • AI in Healthcare (327)
  • AI in Technology (401)
  • AI Logistics (52)
  • AI Research Updates (131)
  • AI Startups & Investments (338)
  • Chain Risk (98)
  • Smart Chain (116)
  • Supply AI (108)
  • Track AI (70)

Physical AI does not replace farmers. It keeps them active

April 22, 2026

Supply Chain Risk and Resilience

April 22, 2026

How AI is helping Fonterra work differently within the cooperative

April 22, 2026

How supply chain disruptions are reshaping the future of startups

April 22, 2026

Subscribe to Updates

Get the latest news from clearpathinsight.

Topics
  • AI Applications & Case Studies (70)
  • AI in Business (413)
  • AI in Healthcare (327)
  • AI in Technology (401)
  • AI Logistics (52)
  • AI Research Updates (131)
  • AI Startups & Investments (338)
  • Chain Risk (98)
  • Smart Chain (116)
  • Supply AI (108)
  • Track AI (70)
Join us

Subscribe to Updates

Get the latest news from clearpathinsight.

We are social
  • Facebook
  • Twitter
  • Pinterest
  • Instagram
  • YouTube
  • Reddit
  • Telegram
  • WhatsApp
Facebook X (Twitter) Instagram Pinterest
© 2026 Designed by clearpathinsight

Type above and press Enter to search. Press Esc to cancel.