Jin Wang, dean of Nursing at Florida State University, sat down. MobiHealthNews To discuss the role nurses play in implementing AI and the mistrust and shortage of AI education that exists among nurses that prevent adoption.
MHN: What are the benefits of AI for nurses? How has nurses changed their practice?
king: The nurse is The largest healthcare professional group. When talking about AI implementation in healthcare, I think nurses are the biggest implementers of AI solutions in healthcare, but we currently have a significant nursing shortage across the country.
However, on average, nurses spend a lot of their time in front of a computer. Administrative burdens, document burdens, workflow processes – all these areas can happen to be AI as the biggest solution.
So what I know is lacking in conversation right now is that people don’t realize that nurses are actually the leading implementers of healthcare AI solutions. How to view AI as filling in more slots for nurses or replacing nurses – you’ve seen strikes and anti-use of nurses with AI. That’s because there’s a lack of education and training to know how AI can help and how it can help.
It’s a kind of paradigm shift, and people always think it’s replacing nurses. That’s why we are trying to work harder to partner with Chai, a coalition of health AI. We are the nursing education providers for microcredential programs as many nurses feel they need to learn about AI.
Being a nurse is another way. Because if you don’t agree with the AI ​​algorithm, how do you predict the risks you trained as a nurse?
So, should all nurses, in this situation, as nurses from my clinical judgment, understand the AI ​​governance model in a way that says how it should work, using these AI tools? All hospital systems may differ. I think there are so many opportunities.
This nursing and AI innovation consortium was launched under the branding of “AI Nursing AI.” This is because nurses have been valued by the American public for over 24 years as the most reliable profession. And when we talk about AI, there is nothing but a lot of distrust, including nurses’ distrust of AI.
So how can we take advantage of being very intimate with nurses who trust patients as nurses? Also, how can nurses learn how to develop, co-develop, co-design and develop AIS with AI? [they] Do you know how to use it safely in a clinical setting?
MHN: You seem to be a big advocate for AI. Are there any technology parts that make you nervous?
king: I’m not saying I’m a stubborn AI advocate on this spectrum. One of the things I constantly emphasize about this initiative is that we are talking about high tech, high fives. What’s important for nurses is compassion and a human perspective. So, although I actually value compassion in non-technical works in this context, I would like to advocate for AI in order to see the possibilities of AI and understand the hallucinations that nurses exist in risk, bias, and generation AI.
If I don’t know about it, there is no way I can trust AI to provide that care. I actually want to spend 10% of my time in front of a computer, but of course I’m afraid of it because if I don’t trust the product, I don’t know about it.
I think the risk of AI is a common risk that we all need to pay attention to. That is, they don’t understand what will happen on the predictive AI side, and what data were used to generate this tool.
If you don’t have knowledge of how to bias dataset bias in the development of this AI prediction tool, you will not be able to know how to use it. This is a major risk of predictive AI.
Generic AI is a better tool to deal with the hallucination part, and I think it would be more effective to support nurses in terms of management burden and all of these tools.
MHN: What do you say to nurses who are hesitant to use AI?
king: I open your mind and go beyond the two words of artificial intelligence to learn what AI is and understand what Chai is working on.
There are so many different types of AI products and AI solutions, from predictive consumers to direct AI to consumers. Find out more about exactly what it is, get more educated, or work with them to ask the right questions.
If you want me to use this, what are the legal risks? What are the risks of governance? What are the predicted risks? What bias do I need to pay attention to?
I think this is like the minimum requirement for all nurses to move forward. We encourage all nurses to understand technology in a fundamental way.
