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

How did North Kansas City Hospital automate the work of 80 FTEs?

North Kansas City Hospital · Hospitals & Health Systems

Header image: A clinician in scrubs typing on a laptop beside a stethoscope

North Kansas City Hospital (Missouri) automated pre-registration and check-in with Notable. Notable says that by MGMA benchmarks the system would otherwise need 80 additional FTEs, and that patients see a more than 90% reduction in check-in time.

Reported outcomes

staffing equivalent
80 additional FTEs avoided (MGMA benchmark estimate)
Source [1] · self-reported
check-in time
more than 90% reduction
Source [1] · self-reported

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

How it works

  1. Automated pre-registration for scheduled appointments (previously only 40% could be pre-registered).
  2. Digital check-in.

Risks & compliance

  • PHI handling (HIPAA); EHR write access
  • Escalation rules needed for clinically urgent requests
  • 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.
  • 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)
“Patients experience a more than 90% reduction in check-in time and as a result, have to spend less time waiting.”
NKCH automates 80 FTEs

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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