Clinical documentation · Production

Abridge achieves 95% user retention across 22 pediatric specialties at Akron Children's Hospital

The problem

Pediatricians at Akron Children's Hospital faced heavy documentation burden across a wide range of specialties, reducing the focus they could give to patients and caregivers.

Workflow diagram · grounded in source
1
Multi-specialty clinical encounter
Trigger
Pediatricians across 22 specialties, including gastroenterology, cardiology, and psychiatry, use Abridge during patient encounters.
source quote
“meeting the unique and diverse needs of pediatricians across 22 specialties, including gastroenterology, cardiology, and psychiatry”
2
AI documentation generation
Ai action
Abridge significantly reduces documentation effort for pediatricians.
source quote
“significantly reduced documentation effort and increased the focus pediatricians are able to give patients and caregivers”
3
Contextual prior-visit retrieval
Ai action
Abridge provides contextual insight from prior visits and gives providers timely reminders of what happened and what to follow up on.
source quote
“providing contextual insight from prior visits. It gives providers timely reminders of what's happened and what to follow up on, ensuring continuity and personalized care at every visit”
4
Accurate coding output
Output
More accurate coding generates real ROI for Akron Children's Hospital.
source quote
“generating real ROI from more accurate coding”
Reported outcome

Abridge delivered 95% user retention across 22 specialties, a 90% increase in undivided attention to patients, a 54% reduction in cognitive load, and a 45% decrease in burnout, while generating real ROI from more accurate coding.

Reported metrics
Abridge user retention95%
Increase in undivided attention90%
Reduction in cognitive load54%
Decrease in burnout45%
Show all 6 reported metrics
Abridge user retention95%
increase in undivided attention90%
reduction in cognitive load54%
decrease in burnout45%
documentation effortsignificantly reduced documentation effort
coding accuracy ROIreal ROI from more accurate coding
Reported stack
Abridge
◆ Does this fit your context?

Compare to your context

Tell us your scale, team, and constraints. We'll show what changes at your size, what fails at your scale, and whether this case is a fit, needs adaptation, or won't scale to you. Free demo, no signup.

Compare to your context →
~30 seconds · free
Source
https://www.abridge.com/case-study/akron-childrens
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Abridge delivered 95% user retention across 22 specialties, a 90% increase in undivided attention to patients, a 54% reduction in cognitive load, and a 45% decrease in burnout, while generating real ROI from more accu…

What tools did this team use?

Abridge.

What results were reported?

Abridge user retention: 95%; Increase in undivided attention: 90%; Reduction in cognitive load: 54%; Decrease in burnout: 45% (source-reported, not independently verified).

How is this clinical documentation AI workflow structured?

Multi-specialty clinical encounter → AI documentation generation → Contextual prior-visit retrieval → Accurate coding output.

WHAT TO DO WITH THIS

Now compare it to your context

This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.