Las Vegas – On Smart Health Transformation Forum while Himss25Matt Cybulsky, a healthcare leader in artificial intelligence, switching to the market and project at Ionian Consulting, discussed forecasting and improvement of care through technology.
In his to talk Cybulsky said that “Halcycon Days:” a recent era of forecasting and improving care, “said that although AI has transformed the way of interaction, obtaining information and what we consider to be authority, and does not solve all healthcare problems.
“There are great plans for what he intends to do, what he is doing now, but there is reality in it,” said Cybulsky. Still, it is significant to think about ethics, honesty and privacy.
“We must think about the fight against artificial intelligence with AI. CIO is asking AI, including what we do with it, we need, whether it will replace the work party, what is the relationship between artificial intelligence and work, “he said.
When it comes to AI industry experts, Cybulsky pointed out that they also ask questions when we will operate it when you can safely implement and what cases of operate AI make sense.
When it comes to healthcare, Cybulsky stated that the demand for AI is true.
He said that because of many factors, fewer people go to general residences, and many teenage students do not enter medicine.
“We are going to a place in 2026, in which we have a 20% reduction in clinical availability so that people can obtain the necessary care. The country is getting old, we improve in diagnosing things, we have many chronic conditions and we have many medical mistakes, “said Cybulsky.
“We must think about using these AI tools because of this demand for strict results. It must be better than people. It must have a scale and must be reliable. The data you have access to is still huge. That is why there is a demand for AI. “
If we combine claims with something like consumer behavior, he said how transaction data from debit and credit cards, he offers a really fascinating and precise forecasting model.
He cited an example of a company that has trained their database in the CMS data of Medicare and Medicaid claims, which has a fairly luxurious set of data. He said that they also trained a transaction data algorithm from debit and credit cards along with other data pages.
For this reason, they were able to make, with high precision, forecasted forecasts regarding the length of stay, revenue costs for hospital and the risk of hospital acceptance after receiving ED. They were also able to look at descriptive data, such as age, gender, zip code, and from the forecasts.
“This is the strength of artificial intelligence. We need to change the way we approach the use of these tools so that we can win. There is a fundamental defect in how we use artificial intelligence in healthcare and this is the idea of performance, “said Cybulsky.
When it comes to healthcare, artificial intelligence was largely built on production, which Cybulsky noticed, he does it quickly and efficiently, while making few mistakes.
But when it comes to doctor and patient relations, it’s not just about performance, but also an emotional relationship.
Cybulsky summed up, saying that the current AI rush could be constrained by fear.
He notes that 80% of all data in healthcare still remains unstructured, as a result of which it is not as accessible as it should.
“If this is not unstructured, it is not in the AI algorithm. If he is not in the AI algorithm, we do not learn from it, “said Cybulsky. “Future speculations on artificial intelligence are true; I will not question it. But whether we are just starting if 80% of our data is still in a place where we cannot access. “