clinical_documentation · healthcare · workflow

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

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.

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 appointment begins
A typical appointment begins with Dr. Lemmons giving undivided attention to the patient rather than taking notes.
Tools used
DeepScribe
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.

What failed first

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.

Results
Time saved80%
Volumeas little as 5 minutes per visit
Source

https://www.deepscribe.ai/resources/customers-lemontreefamilymedicine

How we source this →

Grounding & classification
Source type: vendor customer story
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speech to textsummarizationclinical notefailure mode describedhuman review describedmetric backednamed customersource backedtools describedworkflow describedhealthcarecycle time reductionemployee productivitytime savedvendor customer storyclinical documentationmedical records processingai draft human approvaldocument to record