As usual, the HIMSS conference saw numerous thousands of people (according to the president and CEO of Hims, Hal Wolf, the estimated assistance of this year was 28,000) to hurry to the side and yes, and turning all its different dishes furiously. The annual HIMSS conference is nothing more than a large hive of intense activity of all possible types, around health information technology and each related effort.
But one of the things that has impressed me most about Hims25 in Las Vegas has been the extent to which a resolved realism tone seemed to be embedded in each discussion about artificial intelligence. Of course, the AI was on everyone’s lips, and it was absolutely clear this year, since it had been last year in Orlando, that expectations around them have reached new heights. However, at the same time, I heard that not a single speaker offers a tremendously overwhelmed image of what AI will do in medical care; Instead, I heard the speaker after the speaker speak in very realistic terms about what has been achieved so far in the sphere of AI, and which could be the next steps in any amount of areas of effort and development.
Simply take the final panel of the day on Monday, during the IA Preconference Forum. With a title like «Synaptic Sync: Building strategic technology associations for an effective integration of AI «. With a title like that, it was difficult trying to solve? And if ai is the correct tool, then we must pursue it. «
And Amy Zolotow of Quantumshe replied pointing out that «the Ama has just made an update focused on documentation, environmental listening. We are seeing a lot of focus on lifting the administrative load.» In addition, Zolotow said: «We are also focusing a lot of efforts in the diagnosis as well. And the data show that we are seeing a significant increase in the acceptance of suppliers. Therefore, the opportunity is to focus on people. And once we begin to invest in our people, that is where we are going to see the greatest opportunity to take shape.»
And, he asked how health system leaders can align their Government work of AI with the use of research and true science, Decepti pandita of the University of California Irvine Health, said that, «in the context of the governance of AI, those should not be in separate silos; separate governance must be nuclear, unique and not divorced. Clinical governance, if it should not be outdoors, what ends, what ends, what ends, which ends, which ends. «
Clearly, the tone of that discussion panel was realistic and quite clear, with the panelists focused on very specific steps on which the leaders of the patient care organization should focus, to harvest the rewards of the adoption of the AI in the long term.
Yes, «concrete» describes many of the discussions I have been listening to this week at Hims25. And that speaks of this moment, in which the leaders of the patient care organization have done first, and even beyond the first steps, and now they are working forward in a very pragmatic way, with a large number of them working in areas such as generative the way to support the creation of draft responses to patient consultations, in the name of doctors and nurses, for example. As Irene Louh, MD, expressed it during the artificial intelligence panel on Monday morning entitled «» Navigating the integration of AI through change management and the inclusion of the workforce «,» AI is very promising for medical care, for our workforce and equipment, «said Dr. Lowe. The core of the health provider is that we want to take care of our patients and improve patients. That load is important;
The maturation of the discussions around AI was demonstrated in another panel on Monday in the preconference forum AI, in a discussion entitled «Lead his AI or will take it.» In that panel, Graham Walker, MD, of the Permanent Medical Group, clearly expressed it when he said that «the process is friction. Friction is, do you have to turn or reduce the speed? Understand a lot,» Walker said. He cited the example of analysis of analysis to optimize the triance of patients from the emergency department, so that EDS are no longer overwhelmed with patient traffic on a day -to -day basis.
These and many other examples gave the attendees a very different flavor of a year ago, when it comes to the development and adoption of AI in patient care organizations at this time. There is no doubt that leaders in hospitals, medical groups and health systems have passed the most challenging in recent months, but also, ultimately, one of the most fruitful stages of development and adoption, and it is the hard work and sometimes slow to develop initiatives that will really bear fruit. Many hospitals, large medical groups and health systems are now outside the «honeymoon phase» of the adoption of AI, in which the world looks bright and beautiful, but also vague in their approach, and now they are in the mason phase, in which they are developing algorithmic, generative and even agent, AI, step by step.
I have had such a positive sense of things this year in Hims25, not because all problems have been solved, but paradoxically, because all problems have begun to be known. That is precisely when the leaders know that they have hit Paydirt: they no longer want a star, they are building the equivalent of the transcontinental railroad, sometimes a blow of peak at the same time. Even discussions on the exhibition floor followed that same general signal; Of course, I could only participate in a handful, but I didn’t hear a single supplier promise that the moon, this year.
It will be great to attend HIMS26, which turns out that it will also be at the Sands Venetian Convention Center in Las Vegas, and will have an idea of the buzz next year. How will next year’s conversations sound about the development of AI? Well, everyone will have to appear next year and discover it.
