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

How did Southwest General use an AI voice assistant for insurance calls?

Southwest General Health Center · Hospitals & Health Systems

Header image: A nurse in blue scrubs walking down a bright hospital corridor

Southwest General (Ohio) deployed HOPE, a Notable AI voice assistant, to answer inbound insurance FAQ calls 24/7 during payer contract negotiations. Notable reports it answers 100% of those calls and saves $4 per call.

Reported outcomes

coverage of insurance FAQ calls
100% answered
Source [1] · self-reported
cost per call
$4 saved per call
Source [1] · self-reported

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

How it works

  1. Voice AI answers inbound insurance and network-status FAQ calls.
  2. Runs 24/7 with consistent messaging during payer negotiations.
  3. Escalates calls needing a live agent.

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.

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Tools mentioned & how to build it

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Tools mentioned

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

Build a version yourself

  • 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.
  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.

All tools by category →

Sources

[1]Notable· vendor customer story· Undated (accessed Oct 17, 2026)
“HOPE helps patients get the information they need while easing pressure on our call center staff.”
Southwest General: HOPE AI Voice Cuts Hold Times

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 2/2 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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