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DESCRIPTION:For decades\, interoperability was a data plumbing problem\, get the records moving and the rest would follow. But as agentic AI systems begin operating across clinical workflows\, scheduling\, prior auth\, and care coordination\, the stakes of siloed data have fundamentally changed. It's no longer just about a clinician accessing a patient's history\; it's about whether an AI agent can act on it\, in real time\, across systems that were never designed to talk to each other. Is the original interoperability vision even the right goal anymore? And what does an open\, AI-ready data infrastructure actually need to look like when the end user isn't a human pulling a chart\, but an intelligent system making decisions at scale.
X-ALT-DESC;FMTTYPE=text/html:For decades, interoperability was a data plumbing problem, get the records moving and the rest would follow. But as agentic AI systems begin operating across clinical workflows, scheduling, prior auth, and care coordination, the stakes of siloed data have fundamentally changed. It's no longer just about a clinician accessing a patient's history; it's about whether an AI agent can act on it, in real time, across systems that were never designed to talk to each other. Is the original interoperability vision even the right goal anymore? And what does an open, AI-ready data infrastructure actually need to look like when the end user isn't a human pulling a chart, but an intelligent system making decisions at scale.
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SUMMARY:Reimagining Interoperability for the Agentic Era
DTSTART;TZID=America/Los_Angeles:20261117T152000
DTEND;TZID=America/Los_Angeles:20261117T160000
DTSTAMP:20261006T231552Z
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STATUS:CONFIRMED
SEQUENCE:0
LOCATION:Ferrari Stage
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