Jing Wang, dean of the College of Nursing of Florida State University, sat down with MobiHealthNews To discuss the role that nurses play in the implementation of AI and the distrust and lack of AI education that exists among nurses who hinder adoption.
MHN: What is the advantage of AI for nurses? How did the technology change how nurses practice?
Cheek: Nurses are the Largest professional group group. When you are talking about the implementation of AI in health care, I think that nurses are the largest implementers of AI solutions in health care, and we currently have a considerable shortage of nurses throughout the country.
However, nurses spend a lot of time on average for the computer. The administrative burden, documentation tax, workflow processes, all these areas happen to be the areas AI can be the biggest solution.
So, where I see what is currently missing in the conversation, is that people do not recognize that nurses are actually the most important implementers of AI solutions in health care. How people consider AI as something that will fill more slots for nurses or will replace nurses you have seen nursing strikes about whether anti-use of AI-NOU, it is because there is a lack of education and training to know how AI can help or how responsible AI will help.
That is a kind of paradigm shift, where people always think that nurses replace. That is why we try to make more effort to work with Chai, the Coalition for Health AI. We are the provider of nurses in the field of micrudentivating programs because we feel that many nurses have to learn about AI.
It is another way to be a nurse, because what if I disagree with the AI algorithms, with predicting the risk versus how I was trained as a nurse?
So every nurse must understand the AI board model in a way to say in this situation as a nurse from my clinical judgment, with these AI tools, how should I function? Every hospital system can be different. I think there are just so many opportunities.
We have launched this nursing and AI Innovation Consortium with the branding of “nuring AI” because nurses have been assessed by the American public for more than 24 years now, as the most trusted profession. And when we talk about AI, there is just a lot of distrust, including the distrust of Nurses from AI.
So how can we use patients who are so close to nurses and trust of nurses, and how can we enable nurses to use AI and co-development, co-design and know how AIS is developed, so [they] Do you know how you can use it safely in the clinical settings?
MHN: You seem like a big supporter of AI. Are there parts of the technology that make you nervous?
Cheek: I would not say that I am a diehard AI lawyer in this spectrum. One of the things I always emphasize in this initiative … is that I am talking about high-tech, high-touch. Wat belangrijk is voor verpleegkundigen is het zorgzame en het menselijke perspectief, en dus waardeer ik in deze context eigenlijk meer de zorg op het niet-technische stuk, maar ik wil AI bepleiten omdat ik wel het potentieel van AI en voor verpleegkundigen zie om de risico’s, de vooringenomenheid, de hallucinatie, de hallucinatie, de hallucinatie, de hallucinatie, de hallucinatie, de hallucinatie, de hallucinatie, de Hallucination, which exists in generative AI see.
If I don’t know, there is no way that I can trust AI to offer that care. I actually want to spend 10% of my time in front of the computer, but if I don’t trust a product, because I don’t know anything, I am of course afraid of it.
I think the risks of AI are the general risk that we should all pay attention to, that is the lack of understanding of what is going on the predictive AI side, which data was used to generate this tool.
If I don’t have the knowledge about how biased is the dataset when developing this AI prediction tool, I can’t know how to use it. So that is a huge risk of predictive AI.
Generative AI, I think, is a kind of better tool that tackles the hallucination part, and I think it is more in terms of the administrative burden and all those tools, I think that can be more effective in helping nurses.
MHN: What would you tell a nurse who hesitates about the use of AI?
Cheek: I would say that you open your mind to learn what AI is, beyond the two words, artificial intelligence, and to understand what Chai is working on.
There are so many different types of AI products and AI solutions, from predictive consumers, direct-to-consumer, to generative AI. More information about exactly what it is and get more training or work together to ask the right questions.
If you want me to use this, what are the legal risks? What is the management risk? What is the prediction risk? What is the bias that I should pay attention to?
I think that is a kind of minimum requirement for all nurses who are making progress; I would recommend all nurses to have a basic knowledge of technology.
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