Artificial intelligence (AI) plays an increasing role in the practice of health care and vocational education. Timothy Aungst, Pharmd, professor of pharmacy practice at the Massachusetts College of Pharmacy and Health Sciences of Worcester, Massachusetts, discusses opening presentations, “Use of IA in stewardship” and “Digital Health and Infectious Diseases”, in Mad-Id 2025 in Orlando, Florida.
Asked about AI in vocational health training, Aungst has identified two main areas of interest. “One is, how do we think of the use of AI as educators ourselves? There are several things that can be very beneficial for us on a daily basis. The other thing, however, I think, is a concern: how do we help it with students and learners?”
He explained the change in the way learners could interact with AI. “I am from the current point of view that future generations of students will have to learn to work with AI, or they will leave reflection on AI.
By reflecting on technology in pharmacy education, Aungst said: “It is not a big step for us as pharmacists. And for an earlier medical education, we have always had technological progress on a daily basis that people use.
By turning to an antimicrobial stewardship, Aungst highlighted the role of data in infectious diseases. “You know, the only thing with the AI ​​and the anti -microbial steward, I think it will be really huge, it is the management of sepsis, antibiograms – just the identifier itself is very focused on the data. Because you have so much data, there is a lot of things on which there is a lot of data.”
He described how AI could be integrated into existing clinical systems. “What will happen is – my expectation is – you will see our electronic health files, other surveillance platforms, etc., with which many identity specialists will play with AI components.
Aungst highlighted the continuous need for human surveillance. “You will always need a human in the loop for one of these AI systems. This is the case, if you are the specialist in identity with drugs and patient care, you may be called upon to apply to some of these things. have in DSE systems, pharmacy management systems, etc. »»
On the subject of AI in education, Aungst said: “I think that conversations and education with students are doing well.
However, he urged educators and learners to go further. “Too many people are so focused on who, what, when, where, how – but why?” Why are we doing this? Why do we use this medication? Why and what happened historically that we don't want to redo X? These models are not really formed around many of this historic data. ”
Aungst also expressed his concerns about the limits of current tools. “We call it a black box. The ais of the black box are not a good thing because it is almost like magic – it cannot be explained. We want an explanation. We want reliability in our AI platforms if we want to use them clinically at the end of the day. ”
He concluded with a perspective on how AI can be introduced into responsible education. “They can help with newspaper clubs, they can help with questions, they can help with very simple things. But in the end, you must start: what is the limit for which you can use this thing and what is worthy to give confidence at the end of the day to be used? ”
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