# How Coronis Health uses Scribe

**60+hours**: “saving their team 60+hours (and counting!)”

As published on [scribe.com](https://scribe.com/customers/coronis). Captured by usedby on 2026-10-04.

- Company: [Coronis Health](https://www.usedby.ai/companies/coronis-health.md)
- Tool: [Scribe](https://www.usedby.ai/tools/scribe.md)
- Teams: Operations, Analytics

## What the story says

Coronis Health, a revenue cycle management company, uses Scribe to document standard operating procedures in place of manual Word and PDF documents. It also uses Scribe to answer internal support tickets and to hand tasks off to offshore teams, with a review step that keeps patient data out of the documentation.

Summary written by usedby from the source page, in English. The figures are those of Scribe and Coronis Health, not ours.

> Coronis Health uses Scribe as a simple, scalable, and compliant process documentation solution — while saving their team 60+hours (and counting!).

- **18%**: “18% increase in participation and compliance across all operational procedures.”
- **20%**: “20% increase in accuracy for completed tasks.”
- **10,000 minutes**: “10,000 minutes of saved time for Conner and his team.”
- **75 to 95 percent**: “With Scribes as guidance, Coronis has seen an increase from 75 to 95 percent accuracy in completed tasks.”

> Scribe is able to be our one-stop-shop for all SOP documentation, making it easy for teams to find and follow.
>
> Conner Doyle, VP, Division Operations

## What usedby checked

We compared the story with its live page on 2026-10-04.

- Checked: the figure 60+hours is printed word for word on the page, near the name of Coronis Health.
- Checked: the passage quoted above is copied word for word from the page, near the name of Coronis Health.
- Checked: Coronis Health uses Scribe. Confirmed line. Latest check across sources: 2026-10-04.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/coronis-health-scribe · How we check: https://www.usedby.ai/methodology