Las Vegas – If one thing can be agreed upon about artificial intelligence in the field of health care, this is still not sure how to manage many challenges and opportunities, and the location of all of this.
It is a huge, complex and mysterious theme sometimes new to many people. It is transforming, and it moves faster and develops by today.
Himss25 AI said at the participant healthcare forum: Brian Spacesak Monday morning.
Health system leaders are looking for visions and clarity because they draw strategies to use artificial intelligence to improve their financial and operational processes, create value, reduce the burden of documents and simplify the workflow-in the end to improve the patient’s results and enable value-based care.
They also struggle with challenges: how to ensure transparency, the ability to clarify and equality in models and their outputs. How to protect patients’ safety as artificial intelligence is applied in clinical environments. How to manage very real workforce repercussions.
In the opening keyword, “AI policy considerations and practical adoption strategies for transformational technologies”, Dennis Chorniki, chief artificial intelligence consultant at the University of California, Davis Health, explores these topics and more.
Chornenky – Read our back Two parts Introduction account From it-he pointed to a future in which artificial intelligence may change the daily work to provide health care, which many may expect, even on these days of hope and noise.
As humans, “our minds are wireless to be able to predict the gradual change well.” “What we are not good in predicting is the change that tends to jump forward slightly more quickly: si change, or change according to the size of the size.
He said, “The environment in which we are now is the one in which the capabilities of artificial intelligence and its potential impact are advanced at a huge rate,” he said. “Over the next few years, we can expect, perhaps every year of the coming years, for cognitive thinking leaps of artificial intelligence, 10 times, but more like 100 times with each repetitive cycle.”
We have spent most of the past two years talking about and the possibilities of great language models, implementation and exploration. Now, in 2025, Agency -Ei is the next boundary of health care.
“This is a repetition forward that enhances large language models, but it also adds many other methodologies to address the workflow tasks.”
The most brief description of the difference between the two? Genai can create content, but Agentic AI can take action – even learning and set goals.
“You can think about it almost like what we are used to talking about as automation of automatic operations, or RPA, along with artificial intelligence – and what are the different opportunities,” said Chorniki.
He said that the chances of increasing efficiency are enormous. But also, the potential risks of the types of jobs that many people in health care are used to perform for themselves in recent years.
Since “smart automation” has transformed work operations, as artificial intelligence “has become multimedia, both in terms of data consumption, but also output”, many cases that depend on many steps to accomplish, or the introduction and experience of many different people will be achieved by one.
“This raises the issue of what is happening to people in the beginning roles [their] He asked intellectual work? “If all of this can be automatic, how can future generations and our children get more jobs at the level of beginners in order to obtain experience to reach jobs at the highest level?”
His prediction: “I think our children will have to be good in managing artificial intelligence. They will have to be able to say,“ hey, I can manage 10 Amnesty International agents effectively. ”This looks like a stronger value of the employer, I think, just saying,“ hey, I am just a human being, and I am smart.
“This is the reality that we will do,” he added. “It is a little frightening, but there is something that we should think about. So teach your children how to use Chatgpt effectively now.”
The artificial intelligence agent is only the next step. After that, as many expect, AGI, or artificial general intelligence will come.
“If artificial intelligence agent can start replacing jobs completely, we can think of AGI as a higher -class intelligence that can even start replacing the administration of the entire institutions,” said Chorniki.
“Imagine higher intelligence than the higher degree that can manage 100 artificial intelligence factors who do not require a lot of human supervision. There may be a council for human administration, and perhaps some human technicians who help in managing all systems, but the majority of the productivity of that institution is done by artificial intelligence. Do we continue to organize these institutions in the same way that we have in the past?”
This does not touch the mechanical effects of cybersecurity.
“We will be Using artificial intelligence to test the weaknesses On our own systems. But you can imagine the arms race where AIS is going on? “
Healthcare organizations need a new creation Infrastructure for rule and adoption “Because these capabilities increase more and more strength,” said Chorniki. “Without the correct infrastructure, the organized sectors will find it very difficult to adopt these most powerful technologies, whether it is health care or government.”
The “artificial intelligence governance gap”, with innovation very quickly for regulations and organizers, can prevent health care organizations from adopting artificial intelligence more quickly.
This creates a dilemma to monitor information as well, “because they are under pressure to adopt the new technology from their paintings, from their partners and patients, I think, somewhat. But they have to ensure safety. How do they do that if they do not have appropriate governance mechanisms?”
These are all questions that must be answered in the future. This future may reach more quickly than many expect.
Meanwhile, it is necessary that health care workers be more comfortable and know artificial intelligence. Since there will be effects on the labor market as the benefits of automating tasks and roles that become more difficult to look at the past.
Establishing the common abstinence of the era of artificial intelligence, Chorniki said it is not, in the nearby team, “will replace managers. But it will replace managers who do not use artificial intelligence.”
Mike Milliad is the executive of the Healthcare It News
Email Author: mike.miliaard@himssmedia.com
Healthcare is news that publish HIMSS.
