arXiv:2606.26205v1 Announce Type: new Abstract: Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but abstract, and patient narratives, which are experience-near but unvalidated. Integrating them without conflating evidence and anecdote is especially consequential in psychiatry, where poorly contextualised information can amplify fear, nocebo responses, and non-adherence. Here we develop a provenance-aware, knowledge-graph-based multi-agent framework unifying 466,525 Re
The proliferation of online health information combined with advances in agentic AI and knowledge graph technologies makes this application timely.
This development addresses critical challenges in mental health information dissemination, aiming to provide more reliable and context-aware insights to patients, potentially reducing misinformation and improving adherence.
By integrating disparate information sources with provenance awareness, this approach offers a more nuanced and safe way for patients to understand psychiatric medication, moving beyond simple data aggregation.
- · Patients seeking mental health information
- · Mental health providers
- · AI-driven healthcare platforms
- · Knowledge graph developers
- · Unvalidated online health forums
- · Sources of medical misinformation
Patients can access more reliable and contextually rich information about their psychiatric medications.
Improved patient education may lead to better treatment adherence and reduced nocebo effects.
This model could establish a new standard for responsible AI application in sensitive health information domains, influencing regulatory frameworks.
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Read at arXiv cs.AI