Because artificial intelligence has spread to all corners of the healthcare system, more and more clinicians include a fit degree of skepticism.
One group of healthcare providers who are particularly skeptical are nurses.
Indeed, in 2024 it was Protests of vocal nurse against AI in California and at the beginning of this year nurses throughout the country He went out into the streets in marches He was to focus on transparency and security of AI.
But many nurses are also interested and appreciate what AI can achieve in some cases.
They like what they can do to reduce the load on the documentation and allow work flow efficiency in general. They see the right place for artificial intelligence in healthcare and want to promote the best practices that improve the experience of the supplier and patient care.
At Himss25 next month, the nursing leaders panel will discuss some of the key questions when AI still transforms clinical practice. What are the nurses of the AI tools most useful? Where are skeptical? What are the challenges related to the adoption of a nurse?
Educational session, Strengthening of nurses and healthcare professionals: presentation of AI toolsIt will be presented in the “Fishbowl” format, said Anna Schoenbaum, DNP, which is the vice president for applications and digital health in Penn Medicine.
It will be joined by Darren Batara, RN, head of nursing innovation and computer science at Stanford Health Care; Olga Kagan, RN, assistant professor at Cunny School of Professional Studies and Molloy University; And Kathleen McGrow, DNP, CNIO in Microsoft.
“There will be four of us on the stage, and then we can invite someone from the audience and we have a dialogue,” said Schoenbaum.
They will discuss the arrangements from the Himss Nursing Innovation Group, which was created two years ago and has since identified several key challenges related to AI and nursing workforce, such as AI skills and lack of resources.
Working group-contacting the leaders from Himss, Alliance for Nursing Information and Sonsyl-Upted the AI set, designed to facilitate nurses fully operate artificial intelligence and other leading technologies.
Until now, Schoenbaum said that she saw a steady augment in the recognition of nurses for what AI can do for them in specific areas.
“I believe it is very early for nursing,” she said. “But where it was helpful, there are all predictive models – where they can have a risk of falling if the patient shows falls. Or potentially with staff. If it exists from a song with staff planning, then if he can place predictive models based on historical information for the last few years and are able to predict: “Hey, on such and such a day, we have increased the list of people, where there are gaps in this staff and schedule ? “
“For us in Penn Medicine we worked, we just start, on the environment of the environment – not in the hospital space, because we didn’t have the opportunity there, but we implemented it on the outpatient side.”
The numbers already show clinical and operational roi: “We recently received the e -mail message from one of the nurses who uses it, and said that he exceeded the documentation of 50%,” she said.
Nurses are satisfied with everything that can “relieve the load on the documentation, but also restore this joy to nursing and patient care,” said Schoenbaum. “Patients like this eye contact or simply comfort and simply ensure this communication, not the supplier on the keyboard. So I think this is great promises. “
She said that Penn Medicine medical nurses operate artificial intelligence in various work flows, such as sending messages.
“We focused on suppliers about news in the basket,” said Schoenbaum. “For nursing staff, this turned out to be more helpful, because only the general type of conversation they have to answer in basketball news. And we must remember that it is not about replacing, it is about the extension. “
While in the ranks of nursing staff on the first line there is still a lot of skepticism, “I think it changes when nurses become more competent as to what AI has to offer,” said Schoenbaum.
Meanwhile, Himss Nursing Innovation Group group Work Group continues its work.
“This is a diminutive group of industry leaders – we have a diverse population from academic environments, from the industry, as well as groups of suppliers. It is diminutive, powerful, but we just try to gain education in this modern area, she said.