{
  "id": "uc_2026_000040",
  "slug": "musc-health-notable-ai-patient-access",
  "title": "How is MUSC Health using AI agents for patient access?",
  "answer": "MUSC Health (16 hospitals, South Carolina) uses Notable's AI platform for registration and intake, referrals and scheduling, and care gap closure. Notable reports $3.3M in annual value, 14,500 no-shows avoided, and 5,000+ staff hours reallocated per month.",
  "industry": "healthcare-providers",
  "sub_industry": "Academic health system",
  "roles": [
    "patient-access",
    "revenue-cycle"
  ],
  "function": "operations",
  "tasks": [
    "registration-intake",
    "copay-collection",
    "referral-scheduling",
    "care-gap-outreach"
  ],
  "agent_pattern": "workflow-agent",
  "autonomy_level": 2,
  "tools": [
    {
      "name": "AI platform (intake, referrals, care gaps)",
      "vendor": "Notable",
      "url": null,
      "affiliate": false
    }
  ],
  "deployment_status": "production",
  "organization": {
    "name": "MUSC Health",
    "type": "academic health system",
    "named": true
  },
  "outcomes": [
    {
      "metric": "annual value",
      "value": "$3.3M",
      "source_ref": 1,
      "self_reported": true
    },
    {
      "metric": "no-shows avoided",
      "value": "14,500",
      "source_ref": 1,
      "self_reported": true
    },
    {
      "metric": "staff hours reallocated",
      "value": "5,000+ per month",
      "source_ref": 1,
      "self_reported": true
    }
  ],
  "sources": [
    {
      "url": "https://www.notablehealth.com/customer-story/musc-health",
      "publisher": "Notable",
      "title": "How MUSC is using AI to transform access for patients and eliminate manual work for staff",
      "published": null,
      "type": "vendor-customer-story",
      "quote": "How MUSC is using AI to transform access for patients and eliminate manual work for staff",
      "independent": false,
      "accessed": "2026-10-17",
      "ref": 1
    }
  ],
  "how_it_works": [
    "Automated digital registration and intake, including touchless copay collection.",
    "Referral processing and scheduling automation.",
    "Automated care gap outreach."
  ],
  "risks_compliance": [
    "Automation writes into the EHR; errors propagate to registration and billing",
    "PHI handling (HIPAA)",
    "Vendor-published results; not independently audited"
  ],
  "medtech_relevance": null,
  "notes": [],
  "models": [],
  "integrations": [],
  "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",
  "evidence_grade": "B",
  "grade_rationale": "Named organization with a quantified outcome from the vendor or the organization itself (self-reported).",
  "verification": {
    "checked": "2026-10-17",
    "checker": "pipeline.verify (quote match + outcome-number match)",
    "methods": [
      "auto:fetch"
    ],
    "quotes_matched": 1,
    "quotes_total": 1,
    "claims_matched": 3,
    "claims_total": 3,
    "passed": true
  },
  "url": "https://agentcasefile.com/cases/musc-health-notable-ai-patient-access/",
  "industry_label": "Hospitals & Health Systems",
  "role_labels": [
    "Patient Access & Outreach",
    "Revenue Cycle & Prior Auth"
  ],
  "vertical": "healthcare"
}