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

How did LMH Health answer every patient call on the first ring with an AI agent?

LMH Health · Hospitals & Health Systems

Header image: A clinician pointing at a leg X-ray with a pen

LMH Health (Lawrence, Kansas) deployed a Notable AI agent at its OrthoKansas clinic, where nearly every call had gone to voicemail. Notable reports 100% of 16,000+ inbound calls answered on the first ring, 78.4% of callers engaging with the agent, and 24.3% handled without reaching staff.

Reported outcomes

first-ring answer rate
100% of 16,000+ inbound calls
Source [1] · self-reported
caller engagement
78.4%
Source [1] · self-reported
handled without staff
24.3% of inbound calls
Source [1] · self-reported

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

How it works

  1. AI agent answers inbound calls and triages them to scheduling, clinical, billing, records, or care teams.
  2. Resolves frequently asked questions directly.
  3. Foundation for a system-wide AI-enabled call center.

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.

Casefile: MedTech angle

OrthoKansas is an orthopedic clinic; a direct analog for ortho device reps' customer practices.

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

  • 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.
  • Make
    Visual no-code automation with AI agents; good for intake, routing and follow-up flows.

All tools by category →

Sources

[1]Notable· vendor customer story· Undated (accessed Oct 17, 2026)
“The team was budgeted for 9 FTEs but was chronically short-staffed, and the live answer rate was essentially 0%.”
How LMH Health answers every patient call on the first ring

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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