As synthetic intelligence has proliferated to all corners of the healthcare supply system, it is being embraced by increasingly more clinicians – albeit with a wholesome diploma of skepticism.
One group of care suppliers who’re particularly skeptical are nurses.
Certainly, in 2024 there have been vocal nurse protests towards AI in California, and early this yr nurses nationwide took to the streets in marches meant to place the deal with AI transparency and security.
However many nurses are additionally all for, and appreciative of, what AI can accomplish in sure use circumstances.
They like what it will probably do for lowering documentation burden, and enabling workflow efficiencies typically. They see a correct place for AI in healthcare and want to advertise greatest practices that enhance the supplier expertise and affected person care alike.
At HIMSS25 subsequent month, a panel of nursing leaders will talk about a few of key questions as AI continues to remodel medical follow. What are the AI instruments nurses discover most helpful? The place are they skeptical? What are some challenges with nurse AI adoption?
The schooling session, Empowering Nurses and Healthcare Professionals: AI Toolkit Showcase, can be introduced in a “fishbowl” format, mentioned Anna Schoenbaum, DNP, who serves as vice chairman of purposes and digital well being at Penn Medication.
She’ll be joined by Darren Batara, RN, supervisor of nursing innovation and informatics at Stanford Well being Care; Olga Kagan, RN, adjunct affiliate professor at CUNY Faculty of Skilled Research and Molloy College; and Kathleen McGrow, DNP, the CNIO at Microsoft.
“There’s going to be 4 of us on stage, after which we are able to invite someone from the viewers, and we’ve got a dialogue,” Schoenbaum mentioned.
They’re going to be discussing findings from the HIMSS Nursing Innovation Advisory workgroup, which was fashioned two years in the past and has since recognized some key challenges associated to AI and the nursing workforce, resembling limits to AI literacy and an absence of assets.
The workgroup – comprising leaders from HIMSS, Alliance for Nursing Informatics and SONSIEL – has put collectively an AI toolkit designed to assist nurses take advantage of AI and different modern applied sciences.
Up to now, Schoenbaum mentioned, she’s seen a gentle improve in nurses’ appreciation for what AI can do for them in sure particular areas.
“I consider it is nonetheless very early for nursing,” she mentioned. “However the place it has been useful is any predictive fashions – the place they could have a danger of falls if a affected person is exhibiting falls. Or doubtlessly with staffing. If there may be from a employees scheduling piece is that if they will put predictive fashions based mostly on historic info from the previous couple of years and so they’re capable of predict, ‘Hey, on such and such day, we’ve got elevated census, the place are the gaps on this staffing and scheduling?’
“For us at Penn Medication, we’ve got been working, simply really starting, on ambient expertise – not within the inpatient area, as a result of we have not had the chance there, however we did implement it on the ambulatory aspect.”
The numbers are already exhibiting medical and operational ROI: “Only recently, we acquired an electronic mail from one of many nurses that is utilizing it, and so they mentioned it dropped their documentation time by 50%,” she mentioned.
Nurses are glad for something that may “alleviate documentation burden but in addition convey that pleasure again into nursing and doing affected person care,” mentioned Schoenbaum. “Sufferers are liking that eye contact or simply consolation and simply reassurance of that connectedness somewhat than a supplier on the keyboard. So I feel that exhibits nice promise.”
Penn Medication nurses are utilizing AI in several workflows, resembling messaging, she mentioned.
“We had a deal with suppliers relating to in-basket messaging,” Schoenbaum mentioned. “For the nursing employees, it has confirmed to be extra useful as a result of only a basic kind of dialog that they want to reply to in basket messages. And we’ve got to remind ourselves that it is not about changing, it is about augmenting.”
Whereas there’s nonetheless loads of skepticism throughout the ranks of frontline nursing employees, “I feel it is shifting as nurses develop into extra educated about what AI has to supply,” mentioned Schoenbaum.
In the meantime, the HIMSS Nursing Innovation Advisory workgroup continues its work.
“It is a small group of business leaders – we’ve got a various inhabitants from academia, from business, in addition to supplier teams. It is small, it is mighty, nevertheless it’s simply we’re making an attempt to get the schooling on the market on this new space,” she mentioned.
Schoenbaum and her co-panelists will provide extra insights through the session, “Empowering Nurses and Healthcare Professionals: AI Toolkit Showcase,” which is scheduled for Tuesday, March 4, from 12:45-1:45 p.m. at HIMSS25 in Las Vegas.
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