clinical_documentation · healthcare · workflow

Verbal uses Recall.ai to streamline video meeting integration for AI-driven clinical documentation

Verbal's AI clinical documentation platform required seamless access to patient-provider video conversations across multiple meeting apps, but building custom integrations in-house required a dedicated engineer, two to three months of development per platform, and ongoing maintenance for scalability and stability issues.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Patient meeting on video call
A patient meeting takes place on a video call platform such as Zoom.
Tools used
Recall.ai
Outcome

By switching to Recall.ai, Verbal completed the Zoom integration in one and a half to two weeks and freed their entire engineering team to build new features rather than maintaining meeting-platform integrations.

What failed first

Verbal's homegrown meeting-platform integrations required a dedicated engineer who spent two to three months per platform and still needed ongoing attention for scalability and stability problems discovered after launch.

Results
Time savedtwo to three months
Volumeone and a half to two weeks
Source

https://www.recall.ai/customers/verbal

How we source this →

Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
content generationconversational aiclinical notemeeting recordingfailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcarecycle time reductionemployee productivitytime savedvendor customer storyclinical documentationdocument to record