Private MedHELM binary task: from a palliative-care note, decide whether a patient is eligible for referral to Stanford's Sequoia clinic.
unassessed
| Category | domain |
|---|---|
| Subcategory | palliative-care note classification: Sequoia clinic referral eligibility |
| Page status | active |
| Metric | exact_match |
| Direction | higher_is_better |
| Unit | % |
| Dataset size | 326 |
| Publisher | Stanford Health Care / Stanford CRFM (MedHELM) |
ClinicReferral (HELM scenario shc_sequoia_med) tests whether a model can read English palliative-care notes and answer curated yes/no questions about referral to the Sequoia clinic. HELM's scenario docstring calls the items "manually curated answers to several questions for Sequoia clinic referrals." The prompt numbers each item and requires `A` (yes) or `B` (no) with no extra text. MedHELM places the task in Administration and Workflow and describes it as determining referral eligibility from palliative-care notes to help automate clinic workflows.
Binary A/B classification over a question plus note context; English text; HELM multiple-choice joint adaptation.
No model card in ModelSpec reports this benchmark yet.