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

How did Care New England cut authorization-related write-offs with automation?

Care New England · Hospitals & Health Systems

Header image: Two healthcare workers talking in a hospital hallway

Care New England automated radiology prior authorizations and notices of admission with Notable. Notable reports a 55% reduction in authorization-related write-offs and 2,841 staff hours saved; CNE had estimated it would otherwise need 14 more FTEs.

Reported outcomes

authorization-related write-offs
55% reduction
Source [1] · self-reported
staff hours saved
2,841 hours
Source [1] · self-reported
hiring avoided (pre-project estimate)
14 FTEs
Source [1] · self-reported

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

How it works

  1. Automation completes radiology prior authorizations and notices of admission.
  2. Staff handle exceptions.

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

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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)
“As a result, CNE reports a 55% reduction in authorization-related write-offs, 2,841 hours saved for staff, and more.”
Care New England reports a 55% reduction in authorization-related write-offs

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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