Healthcare AI Agents Should Be Designed to Hand Off to Specialists

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Healthcare AI often spans fields with different terminology, evidence standards, and professional duties, so a system that can process multiple domains may still lack the authority to settle every issue alone. The article suggests developers define task boundaries, flag decisions needing specialist review, and set structured escalation paths. One example describes an agent spotting a possible medication problem, collecting lab results and medication history, and preparing an evidence summary for a pharmacist or clinician. Clear handovers matter as well, so the receiving professional knows the problem, the supporting evidence, open questions, and completed actions. The author argues that routing should account for clinical risk, task scope, and authorization, with consequential decisions kept within validated capabilities.

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