All in American medical care have heard the phrase «people, processes and technology». In fact, the phrase has been repeated so often that, when recently referenced once again, its articulation often leaves the public losing attention. However, the concept of «process» properly assumed the center of the morning on Monday morning at HIMSS25 at the Venetian Sands Convention Center in Las Vegas, during a discussion panel entitled «Lead his AI or will take it.»
Brian Spisak, Ph.D., from Harvard University, directed a panel that also included Graham Walker, MD, of the Permanent Medical Group, Brenton Hill of the AI Health Coalition (CHAI), Rohit Chandra by Cleveland Clinic and Tanay Tandon de Comme. The key point around which all panelists sat in consensus was the inevitability of addressing the process in the context of work towards success with the adoption of artificial intelligence. As Dr. Walker declared at the beginning of the discussion, “the process is friction. Friction is, do you have to turn or reduce speed? The process is where that friction exists. What we are really trying to do with AI, he said, is to reduce the friction trapped in humans and download some of that in AI. You cannot get rid of all friction, because you will fly from the roller coaster, but you can get rid of a lot. «He cited the example of analysis of analysis to optimize the tried of patients in the emergency department, so that the EDS are no longer overwhelmed with patient traffic in the day to day.
According to that, Hill told the audience that, «apart from the general understanding of the process, when I think about it, I think of continuous improvement. You observe the landscape of today, and not a single person or organization is doing all 100 percent. So, on this trip, how can we continually improve, in a responsible way? How can we learn from each other and take things to help others? Find out where you are wrong and improvements continuously, ”he recommended.
In addition, when a monitoring question about monitoring the development of implementation is asked, Hill advised the audience that «people underestimate the amount of monitoring necessary. And we are trying to find ways to optimize processes. Practicality is the key to advance in this. From a legal perspective, there is still no legal case that has arisen that defines the responsibility of the AI. continuously;
Inevitably, the panelists ended up discussing where some of the most concrete progress are being made in these days around the adoption of AI. And, in that, two of the panelists agreed that the appearance of the use of scribes of AI is, in his opinion, one of the best examples of the practical and concrete application of AI in the work parties of the doctors. «The scribes of AI are a key area» in which an approach in the process is moving forward, said Chandra. The implementation of AI writing solutions “addresses an acute pain point for doctors. Secondly, it is relatively simple. It does not need a lot of organizational realignment. It is the right technology at the right time and is easy to use, ”he said. That is why AI Scribe technology is adopting faster than other types of technologies.
Walker agreed, saying that «we are in a cracking in real time now, and we absolutely need all the tools at our disposal that address the weak points. I think that the tools of the scribe of AI are extremely valuable, to understand the context, so that when I return to my desk, I ended up with my note. I can improve my interactions with the patients. And I will speak in real time to the patient and I will suggest. He will take that information in real time and save me time. «
According to that, Brenton said: “In the work we are doing, we are shooting our more than 3,000 members of the community, to ask them what they want. The prediction of sepsis is a great thing. The recovery of EHR is another: how does it summarize what is in the patient’s registry and support doctors so that they are not reading tons of pages? How do we have an immediate impact with these tools? The scribes of AI, the recovery of EHR and the predictive models are in what we are focusing, ”he said, and pointed out that the project management and management elements around the adoption of such solutions are relatively without complications.
And, more widely, Hill emphasized: “There is no silver cane governance structure. There is not a single process that can be followed, medical care organizations are beginning to think as manufacturers, because this is a manufacturing process. So, some high -level principles with which we are working, «he said,» do you have people responsible for specific AI tools? Do you have a body of government? Lawyers, doctors and nurses must be there. And, according to that, nurses are often forgotten. It is important that we return more and more nurses to these positions; They will effectively make or break adoption. And what resources and time are we developing? How are you classifying and quantifying the risk?
And it was very clear as the discussion advanced, that the panelists considered that a key to success in AI implies satisfying end users with early victories, victories that do not require a particularly intensive governance work and with an approach to the benefits for clinical end users. The panelists agreed that, over time, rules are arising around the process; In other words, the foundations of the simplified process are beginning to be placed in the field of adoption of AI. No one on the panel doubted things to take time; But they also agreed that the process is a problem that simply cannot be ignored.
