Clinical documentation · Production

DeepScribe reduces clinical documentation time by 80% at Lemon Tree Family Medicine

The problem

Dr. Lemmons deferred all note-taking to after hours to preserve full patient attention during appointments, spending several hours each night charting and missing personal milestones. Prior alternatives — human scribes and virtual transcription services — were either too invasive or still required heavy review and editing.

First attempt

Human scribes were ruled out as too invasive for a small exam room, and virtual transcription services still required substantial time reviewing and editing notes.

Workflow diagram · grounded in source
1
Patient appointment begins
trigger
“Dr. Lemmons starts off a typical appointment by playing catch up - asking her patient about their latest fishing trip or how they've spent the warm summer months since their last visit”
2
Ambient AI note-taking
ai_action
“I felt I could confidently leave the note-taking to DeepScribe and focus on the patient”
3
Structured notes generated
output
“Soon after a patient visit, her notes are ready for review including a complete subjective summary, the ICD-10 coded diagnosis, and the prescribed plan”
4
Physician review and sign-off
human_review
“It now takes Dr. Lemmons as little as 5 minutes per visit to review and sign off on her notes – a huge improvement on the 30 minutes per visit and consequently, the many long evening hours she previously spent on documentation”
Reported outcome

DeepScribe cut documentation time by 80%, reducing per-visit review from 30 minutes to as little as 5 minutes and eliminating the long evening hours previously spent charting.

Reported metrics
Documentation time reduction80%
time per visit to review and sign off (post-DeepScribe)as little as 5 minutes per visit
Time per visit previously spent on documentation30 minutes per visit
Reported stack
DeepScribeDrChrono
Source
https://www.deepscribe.ai/resources/customers-lemontreefamilymedicine
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

DeepScribe cut documentation time by 80%, reducing per-visit review from 30 minutes to as little as 5 minutes and eliminating the long evening hours previously spent charting.

What tools did this team use?

DeepScribe, DrChrono.

What results were reported?

Documentation time reduction: 80%; time per visit to review and sign off (post-DeepScribe): as little as 5 minutes per visit; Time per visit previously spent on documentation: 30 minutes per visit (source-reported, not independently verified).

What failed first in this deployment?

Human scribes were ruled out as too invasive for a small exam room, and virtual transcription services still required substantial time reviewing and editing notes.

How is this clinical documentation AI workflow structured?

Patient appointment begins → Ambient AI note-taking → Structured notes generated → Physician review and sign-off.