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

How did Castell cut chart review time with AI automation?

Castell (Intermountain Health) · Hospitals & Health Systems

Header image: Two radiology staff standing beside an MRI scanner

Castell, Intermountain's value-based care company, uses Notable automation to review charts for care-gap closure opportunities. Notable reports average daily chart time falling from four hours to one hour and 1.68 minutes saved per chart.

Reported outcomes

daily chart time
from four hours to one hour
Source [1] · self-reported
time saved per chart
1.68 minutes
Source [1] · self-reported

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

How it works

  1. Automation pre-reviews charts and flags care gap closure opportunities.
  2. Staff review the flagged items.

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

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Tools mentioned

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

Build a version yourself

  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • Make
    Visual no-code automation with AI agents; good for intake, routing and follow-up flows.
  • Zapier
    The default app-to-app automation layer, now with AI agents and AI steps.

All tools by category →

Sources

[1]Notable· vendor customer story· Undated (accessed Oct 17, 2026)
“How the value-based care health services company is using intelligent automation to review charts and identify opportunities for care gap closure.”
Castell reduces average daily chart time from four hours to one hour

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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