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

How did ThedaCare automate care gap outreach?

ThedaCare · Hospitals & Health Systems

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ThedaCare (7 hospitals, Wisconsin) used Notable to automate outreach to patients with open care gaps. Notable reports 900+ automated outreaches in 3 months and 350 hours of manual staff work saved.

Reported outcomes

outreach volume
900+ automated care gap outreaches in 3 months
Source [1] · self-reported
staff time saved
350 hours
Source [1] · self-reported

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

How it works

  1. Identifies patients with open care gaps.
  2. Sends automated outreach so patients can schedule.

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

  • Retell AI
    Build and deploy phone agents for scheduling, intake and call routing.
  • Zapier
    The default app-to-app automation layer, now with AI agents and AI steps.
  • 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)
“How a leading population health organization saved its staff 350 hours of manual work in care gap outreach.”
ThedaCare conducts 900+ automated care gap outreaches in 3 months

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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