On the AI front at HIMSS18, Orion Health unveiled its machine learning service, Amadeus Intelligence, designed to help the healthcare industry reduce operating costs and improve patient care. Led by new research in machine learning, Orion Health is exploring meaningful ways to minimize waste in healthcare and help clinicians make more accurate decisions at the point of care, the company said.
According to the Center for Medicare and Medicaid Services, more than a third of the United States’ $3 trillion healthcare expenditure is wasted on unnecessary services and excess administration. With an aging population and a growing number of people with chronic illnesses, the issue is set to worsen.
“More than $1 trillion in the U.S. is wasted each year on costly administration and avoidable hospital readmissions,” said Ian McCrae, CEO of Orion Health. “Orion Health’s Amadeus Intelligence will use machine learning models initially to predict patient costs and readmission risks, analyze clinical and financial outliers and enable accurate diagnosis coding and quality metric reporting to improve decision making at the point of care and target resources that will result in significant cost savings.”
Executives have yet to see the true impact of machine learning on healthcare. The last decade has been focused on integrating IT systems and capturing massive amounts of information about patients and their environments.
“The next decade will be to connect all that data and use machine learning for daily healthcare decisions, driving improved care, operational efficiencies and cost-effectiveness,” said McCrae, who is at Booths 5454 and 11955 at HIMSS18.
The original article can be found at the Healthcare IT News site here.
