AI RESEARCH
Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
arXiv CS.AI
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ArXi:2603.24986v1 Announce Type: cross Large language model based health agents are increasingly used by health consumers and clinicians to interpret health information and guide health decisions. However, most AI systems in healthcare operate in siloed configurations, ing individual users rather than the multi-stakeholder relationships central to healthcare. Such use can fragment understanding and exacerbate misalignment among patients, caregivers, and clinicians. We reframe AI not as a standalone assistant, but as a collaborator embedded within multi-party care interactions.