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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.
At HIMSS25, longtime interoperability and IT infrastructure leader InterSystems debuted a new EHR powered by AI called IntelliCare. In addition to ambient listening and generative AI features to simplify administrative tasks, an AI assistant can generate automatic patient history summarizations and agentically prepopulates the codes required for billing within the revenue cycle management system.The vendor is taking a cautious approach to using agentic AI in direct clinical decision-making, emphasizing human oversight and focusing initial efforts on administrative tasks. For example, adding to the diagnostic list.
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Since the widespread adoption of electronic health record (EHR) systems in the 1990s, the health care industry has been on a relentless quest to digitally optimize the doctor-patient interaction. …
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