Nurses’ favorite AI uses, ranked

Nurses have had mixed feelings about the rise of artificial intelligence in healthcare, from excitement over its potential for improving care to apprehension about it coming in between them and patients.

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Here are eight AI clinical use cases ranked by the percentage of nurses who say they “very” much improve patient care or workload, according to a November report from consultant McKinsey & Co. that surveyed more than 5,000 nurses:

1. Enhancing medication management: 74%

2. Eliminating tasks to increase job satisfaction: 73%

3. Improving productivity: 72%

4. Patient education: 71%

5. Clinical education: 70%

6. Streamlining administrative tasks: 70%

7. Synthesizing progress notes and medical records: 68%

8. Improving diagnosis accuracy and clinical decision support: 66%

At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.

Register to Attend Webinar

The hidden cost of lost clinical time and how leading health systems are responding

Friday, August 7
12:00 PM - 1:00 PM CDT

Presenters: Kassaundra McKnight-Young, Zebra TechnologiesGregory Carras, Zebra TechnologiesJennifer Gene, Levata

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