Q&R: Building the confidence of nurses in AI through education

Jing Wang, dean of the Florida State University Nursing College, sat with Mobile To discuss the role that nurses play in the implementation of AI and distrust and the lack of education of the AI ​​that exist among the nurses who hinder adoption.

Mhn: What is the advantage of AI for nurses? How has technology changed how nurses practice?

Wang: Nurses are the The largest health health group. When you talk about the implementation of AI in health care, I think nurses are the biggest enforceable IA solutions in health care, and at the moment, we have an important nursing shortage across the country.

However, the nurses, on average, spend a lot of time in front of the computer. The administrative burden, the documentation burden, the workflow processes, all these areas are the areas that AI can be the greatest solution.

So where I see what is currently lacking in the conversation is that people do not recognize that nurses are in fact the main performers of AI solutions in health care. How people consider AI as something that will fulfill more slots for nurses or will replace nurses – you have seen nurses in the grip or an anti -use of AI – Well, it is because there is a lack of education and training to know how AI can help or how the responsible AI will help you.

It is sort of the paradigm shift, where people always think that he replaces the nurses. This is why we are trying to devote more efforts to associate with Chai, the coalition for Health IA. We are the nursing education supplier on microcredentive programs because we have the impression that many nurses must learn more about AI.

Is it a different way of being a nurse, because if I do not agree with the AI ​​algorithms, with the forecasting of risk compared to the way in which I was formed as an infirmarian?

Thus, each nurse must understand the model of governance of the AI ​​in a way to say, in this situation, as an infirmer of my clinical judgment, with these AI tools, how should I work? Each hospital system may be different. I think there are so many opportunities.

We have launched this nursing and AI innovation consortium with the “Nurse” brand “because the nurses have been evaluated by the American public, more than 24 years now, as the most reliable profession. And when we talk about AI, there is just a lot of mistrust, including the distrust of nurses in terms of AI.

So, how can we take advantage of patients so close to confidence nurses, and how can we allow nurses to use AI and co-develop, design and design and the way AIS are developed, so (they) know how to use it safely in clinical circles?

Mhn: You seem to be a great AI defender. Are there parts of the technology that make you nervous?

Wang: I wouldn't say that I am a pure and hard lawyer of AI in this spectrum. One of the things I always emphasize in this initiative … is that I am talking about high technology and high. What matters to nurses is the attentive and human perspective, and therefore I appreciate more care on the non -technical piece in this context, but I want to recommend AI because I see the potential of AI and for nurses to understand the risks, biases, the hallucination that exists in the generative AI.

If I don't know, there is no way I can trust AI to provide this care. In fact, I 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, I fear, of course, that.

I think that the risks of AI are the general risk to which we must all pay attention, it is the lack of understanding of what between the predictive side of AI, what data has been used to generate this tool.

If I do not have the knowledge of how the data set is biased to develop this AI prediction tool, I will not be able to know how to use it. It is therefore a huge risk of predictive AI.

The generative AI, I think, is in a way a better tool that addresses the part of hallucination, and I think it is more in terms of administrative load and all these tools, I think it could be more effective to help nurses.

Mhn: How about a nurse who hesitates to use AI?

Wang: I would say to open your mind to find out what AI is, beyond the two words, artificial intelligence and to understand what Chai works on.

There are so many different types of AI products and AI solutions, from predictive to consumers, directly to consumers, to generative AI. Learn more about what it is and get more education or collaborate to ask the right questions.

If you want me to use this, what are the legal risks? What is the risk of governance? What is the risk of prediction? What is the bias I need to pay attention to?

I think it is in a way a minimum requirement for all nurses in the future; I would recommend that all nurses have a basic understanding of technology.