Artificial Intelligence

What are the trends in digital health implementation across health systems, and what needs to be considered when applying AI for value-based care? Matt Cybulsky, LBMC practice leader for healthcare AI, value-based care and product innovation, discusses.

"Telehealth already has proven its value in increasing access to care – but paired with effective, responsible AI usage, it holds the promise of more efficient, effective and personalized mental health services," a telepsychiatry provider CEO says.

The 451 Research report indicates that rapid AI uptake is having business results, with  81% of AI-mature healthcare enterprises doing better in 2023, year over year.

The Center for Devices and Radiological Health says a new medical device discussion paper aims to spur conversation about reducing barriers and improving outcomes across diverse populations.

From the custodian to the CEO, everyone is required to take a homegrown course – created with generative artificial intelligence – to prepare for transformation coming to healthcare, the VP of planning explains.

A new retrospective analysis leveraged the American College of Cardiology algorithm to score cardiac arrest arrivals and predict unfavorable neurological outcomes. It's now available on the internet.

Also, the Korean government is investing $25 million in developing AI for drug discovery.

Compliance requirements have left health plans 'scrambling,' Johns Hopkins says, spurring creation of the AI initiative.

Matt Cybulsky, LBMC practice leader for healthcare AI, value-based care and product innovation, discusses consulting digital health companies on seeking investment.

Providers should push hard to maximize the use of generative AI and natural language processing tools – but validate performance for each system rigorously before making it available for widespread use, a physician author says.