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Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How is MUSC Health using AI agents for patient access?

MUSC Health · Hospitals & Health Systems

Header image: A clinician with a tablet speaking with a patient

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.

Reported outcomes

annual value
$3.3M
Source [1] · self-reported
no-shows avoided
14,500
Source [1] · self-reported
staff hours reallocated
5,000+ per month
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

How it works

  1. Automated digital registration and intake, including touchless copay collection.
  2. Referral processing and scheduling automation.
  3. 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

Healthcare cases cover operational and commercial workflows. Nothing here is medical advice or a claim about a device's or drug's efficacy.

Build this yourself

Tools mentioned & how to build it

Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.

Tools mentioned

  • Notable (Notable)
    AI agents for intake, scheduling, prior auth and care-gap outreach.

Build a version yourself

  • Make
    Visual no-code automation with AI agents; good for intake, routing and follow-up flows.
  • Retell AI
    Build and deploy phone agents for scheduling, intake and call routing.
  • ElevenLabs
    Voice models and a conversational-agent platform behind many voice agents.

All tools by category →

Sources

[1]Notable· vendor customer story· Undated (accessed Oct 17, 2026)
“How MUSC is using AI to transform access for patients and eliminate manual work for staff”
How MUSC is using AI to transform access for patients and eliminate manual work for staff

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 3/3 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

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