Top healthcare technology trends in 2025

Uncertainty surrounding telehealth flexibilities and artificial intelligence regulation will shape healthcare technology trends this year, while cyberattacks continue to batter the sector, experts say.

AI is an alluring technology for the industry, but healthcare organizations have to grapple with safety and accuracy concerns as they roll out the tools — and they face a potentially hazy regulatory environment as President-elect Donald Trump begins his second term in office.

Telehealth is facing its own regulatory challenges after a year-end bill that would have extended Medicare virtual care flexibilities for two years fell apart in December. Now, those pandemic-era policy changes will only last through March, adding new anxieties for telehealth groups and providers who argue unpredictability hampers investment in virtual care.

Healthcare organizations will also likely continue to face a wave of cyberattacks, a serious threat to care delivery as the sector relies ever more heavily on connected devices and systems.

Meanwhile, digital health funding could increase this year after years of declines. Some companies could combine or ink initial public offerings — potentially pushing other firms to go public if they’re successful, experts say.

“There’s an appetite for public offerings,” said said Matt Wolf, director and healthcare senior analyst at consultancy RSM US. “They just have to do the right public offering.”

Here are the biggest trends in healthcare technology in 2025.

AI regulation enters a new administration

AI has become one of the most exciting emerging technologies for healthcare executives, sparking hopes it could help solve pernicious challenges like provider burnout or workforce shortages.

Still, it’s not easy to implement the tools, given concerns about accuracy and bias, as well as the work needed to vet and pilot products before they’re deployed. Plus, healthcare organizations need to monitor AI tools’ performance over time due to the risk of model drift, where environmental factors underlying the model change and worsen its performance.

That’s one reason why health systems looking to deploy AI tools will be seek greater transparency from and deeper partnerships with vendors in 2025, said Brian Anderson, CEO of the Coalition for Health AI, an industry group developing guidelines for responsible AI use in healthcare.

Without input from companies selling AI tools, it’s a challenge to figure out whether the model’s performance is still satisfactory — even for the most well-resourced health systems, he said.

“At a technical level, you can’t monitor for drift if you don’t know what the initial settings were, essentially, with the data set,” Anderson said.

Many health systems are likely focused on deploying AI in areas that don’t involve clinical decision-making, like assisting with coding, billing or prior authorization requests, he said.

There’s higher tolerance for mistakes when it comes to automating those administrative tasks, and there are likely already errors involved when humans are at the helm, said Michael Gao, CEO and co-founder of healthcare AI company SmarterDx.

Plus, health systems operate on slim margins, so increasing revenue through automating administrative tasks is attractive.

“The things that hospitals can do to increase that margin, either finding more revenue by better documentation or being able to fight back against denials of insurance companies, I think that will still be top of mind just for the reason of, honestly, survival,” Gao said.

Healthcare organizations looking to implement AI products will also have to grapple with how the incoming Trump administration could regulate the technology.

The Biden administration began laying the groundwork for federal AI oversight, including through a sweeping executive order issued in fall 2023 that launched a number of research initiatives and pushed federal agencies to name chief AI officers.

The order is “probably the most significant AI regulation in the United States,” said Mark Dredze, interim deputy director for the Johns Hopkins University Data Science and AI Institute, during a webinar in December. 

However, Trump has promised to repeal the executive order and significantly scale back the federal government workforce, creating a confusing picture for AI regulation in the new administration, Drezde said.

Drezde said it remains unclear what changes Trump will pursue. Will he roll back the entire executive order, or put something new in its place? Will there be less research funding for AI initiatives, or would government workers with AI expertise lose their jobs or leave for the private sector?