EHRs and agentic AI: Balancing human and automated collaboration

Artificial intelligence agents coordinating tasks across healthcare workflows were the talk of HIMSS25. In the year ahead, AI is expected to progress cautiously beyond ambient listening to effect new automation in electronic health records.
 

Advances in artificial intelligence are moving from machine learning models that analyze data to algorithms that can act on it with minimal human involvement across clinical, administrative and patient-facing workflows.

Agentic AI, or autonomous agents, level up from standard generative AI by being able to make decisions autonomously to achieve a goal, rather than just producing output from an input to aid human decision-making or streamlining tasks.

The growing momentum behind agentic AI in healthcare was a hot topic at this month's HIMSS25 Global Conference & Exhibition, from the show floor to education sessions and keynote addresses. But all the discussion pointed to a key challenge for healthcare: Using agentic technology to improve operations is one thing, but carefully navigating the serious complexities of employing autonomous AI in clinical care is quite another.
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