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Despite its increasing use, artificial intelligence integration is lagging at healthcare systems and organizations across the U.S., according to a new survey from Arcadia.
Fifty-two percent of respondents report that AI can fundamentally transform healthcare in correct applications, though about half (53%) of AI insights are “only partially embedded” into decision-making processes and only 14% report full integration at “key decision points.”
The healthcare platform’s survey drew insights from 281 healthcare leaders across provider, payer and service organizations at the March HIMSS26 conference.
“Healthcare leaders are increasingly aligned on AI’s potential to improve care and drive measurable value, but many organizations are still working to operationalize those capabilities,” said Michael Meucci, Arcadia president and CEO, in a statement. “The next wave of AI value won’t come from better models. It will come from better execution. Organizations that can successfully embed AI insights into everyday decisions and workflows will be best positioned to realize meaningful clinical, operational, and financial impact.”