{
  "id": "uc_2026_000017",
  "slug": "color-health-cancer-copilot-workup",
  "title": "Can an AI copilot help clinicians plan cancer workups?",
  "answer": "Color Health built an LLM-powered 'Cancer Copilot' to assist with the workup of patients newly diagnosed with cancer. Color reports more than 95% concordance with guidelines on a dataset of anonymized real-world patients at UCSF Health.",
  "industry": "healthcare-providers",
  "sub_industry": "Virtual cancer care provider",
  "roles": [
    "clinical-ops"
  ],
  "function": "clinical",
  "tasks": [
    "workup-planning",
    "guideline-concordance",
    "decision-factor-extraction"
  ],
  "agent_pattern": "copilot",
  "autonomy_level": 0,
  "tools": [
    {
      "name": "Cancer Copilot",
      "vendor": "Color Health",
      "url": null,
      "affiliate": false
    }
  ],
  "deployment_status": "pilot",
  "organization": {
    "name": "Color Health",
    "type": "healthcare provider / health tech",
    "named": true
  },
  "outcomes": [
    {
      "metric": "guideline concordance",
      "value": "> 95% on anonymized real-world UCSF Health patients",
      "source_ref": 1,
      "self_reported": true
    }
  ],
  "evidence_grade": "B",
  "grade_rationale": "Named organization reporting a quantified result on its own blog.",
  "sources": [
    {
      "ref": 1,
      "url": "https://www.color.com/blog/expertise-is-what-we-want/",
      "publisher": "Color Health",
      "title": "Expertise Is What We Want",
      "published": "2026-01-26",
      "type": "vendor-blog",
      "quote": "The system achieved a high degree of concordance with guidelines (> 95%) on a data set composed of anonymized real-world patients at UCSF Health.",
      "independent": false,
      "accessed": "2026-10-17"
    }
  ],
  "how_it_works": [
    "Extracts explicit decision factors from the patient record.",
    "Applies declarative guideline logic to recommend workup steps.",
    "Produces an explanatory summary with a reasoning chain and guideline references, designed for expert review."
  ],
  "risks_compliance": [
    "Clinical decision support; not medical advice",
    "Evaluation was on a retrospective dataset"
  ],
  "models": [],
  "integrations": [],
  "medtech_relevance": null,
  "notes": [],
  "related": [],
  "first_seen": "2026-10-17",
  "last_verified": "2026-10-17",
  "sponsored": false,
  "license": "CC BY 4.0 (summary text); quotes and sources belong to their owners",
  "verification": {
    "checked": "2026-10-17",
    "checker": "pipeline.verify (quote match + outcome-number match)",
    "methods": [
      "auto:fetch"
    ],
    "quotes_matched": 1,
    "quotes_total": 1,
    "claims_matched": 1,
    "claims_total": 1,
    "passed": true
  },
  "url": "https://agentcasefile.com/cases/color-health-cancer-copilot-workup/",
  "industry_label": "Hospitals & Health Systems",
  "role_labels": [
    "Clinicians & Clinical Ops"
  ],
  "vertical": "healthcare"
}