The unexpected ways AI is impacting the delivery of care, including for COVID-19

Mayo Clinic logo
Paul Friedman, M.D., the chairman of Mayo Clinic's cardiovascular department, has been working as part of a team to train AI-algorithm embedded into standard electrocardiogram tests to detect which patients have weak heart pump. Friedman was a presenter at Fierce AI Week. (Wikimedia Commons)

Is it possible for healthcare to predict the future?

With the help of artificial intelligence, it just may be, according to Paul Friedman, M.D., the chairman of the cardiovascular department at Mayo Clinic. 

Friedman’s team has trained an AI-algorithm embedded into standard electrocardiogram tests to detect which patients have weak heart pump, Friedman said speaking during a recent Fierce AI Week event.

Digital Transformation

Unlock the Digital Front Door with an App

The Member Mobile App is the smarter and better way to engage members anytime and anywhere. Members can find the right doctors, receive alerts, track spending, use telehealth, and more — all within a guided, intuitive, and seamless experience. Built exclusively for payers, it is ready to install and launch in a few months. Request a consult on how to enable the digital front door with the Mobile App, today.

When researchers went back and performed additional tests, it appeared the the heart pump was normal and that the AI had “false positive.” 

But, Friedman said, when the researchers looked at those same patients patients five years later, they saw a five-fold increase among those patients for having a weak heart pump, he said.

WATCH THE ON-DEMAND PLAYBACK: Unexpected ways AI is transforming the delivery of care

“The physiological signals are affecting the electrocardiogram in subtle ways,” Friedman said. “If human beings could remember the patterns from 100,000 ECGs, we would be able to identify those and say: ‘Oh, there’s a problem coming.’ So it looks like it’s looking into the future.”

The Food and Drug Administration recently granted Emergency Use Authorization to Eko to use the technology to search for physiological problems in the heart associated with cases of COVID-19, Friedman said. 

It's just one example experts pointed to during the recent virtual Fierce Healthcare event about how machines are beginning to outshine their human counterparts as AI is applied to an increasing number of healthcare tasks.

Researchers at UPMC are using AI and natural language processing to examine questions around how to reduce the amount of effort that goes on in healthcare, such a measuring healthcare quality, said Rebecca Jacobson, vice president of analytics at UPMC.

This creates some powerful opportunities, she said.

But it also raises one of the major challenges that has emerged in the AI space: validating how effective AI algorithms are compared to having a human dig through medical records by hand.

“We find mistakes that look like disagreements where it turns out actually the machine found things the humans did not. That happens a lot,” Jacobson said.

Suggested Articles

Vaccination rates for Medicaid and CHIP declined precipitously as well as rates for health screenings for children due to COVID-19, CMS reports.

Anthem and Humana quickly had to pivot to handle food insecurity issues among its Medicare Advantage members at the onset of the COVID-19 pandemic.

There is a potential legal skirmish brewing two of the largest telehealth companies over patent claims.