Pain Navigators

Iaso helps clinicians and patients recognize and navigate interventional options for severe cancer pain that persists despite escalating medication. A clinician enters the patient’s pain story; Iaso identifies procedures worth specialist discussion, explains why each may or may not fit, and directs the clinician to an appropriate local specialist. Once selected, Claude drafts an editable referral summary and focused clinical question. Patients receive a cited, plain-language atlas describing realistic benefits, limitations, and risks, helping them use limited consultation time effectively and participate meaningfully in treatment and informed-consent discussions. Iaso is also an exploration of where AI belongs in high-stakes clinical care. Claude translates ambiguous narratives before a decision and explains results afterward, but does not make the clinical decision itself. Recommendations are governed by fixed, versioned, physician-authored rules. This deterministic safety harness keeps every criterion transparent and testable while reducing the risk that hallucinations or inconsistent model responses alter outcomes. Both the clinical rules and referral network can be customized to an institution’s procedures, selection criteria, specialists, and workflows. In cancer care, a delayed or misdirected referral can consume precious time. Earlier, better-directed, better-prepared specialist conversations can protect what matters most: quality of life and meaningful time with loved ones.

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