Clinical documentation · Production

Dr. Chandramouli reduces note-taking by 83% with DeepScribe, saving over 2.75 hr/day

The problem

Dr. Chandramouli spent over 3 additional hours per day on meticulous note-taking after a full patient schedule, reflecting a broader industry pattern where physicians spend almost half their day charting notes.

First attempt

A hired medical scribe worsened the situation by requiring increased patient volume to cover the cost, yielding little improvement in workload. Other evaluated tools—dictation software, transcription services, and virtual scribe technologies—still required the physician to summarize or dictate notes himself.

Workflow diagram · grounded in source
1
Daily patient visits
trigger
“following a full schedule of patient visits”
2
DeepScribe ambient capture
ai_action
“it most closely emulated the experience of having a medical scribe in the room with him at a much more affordable price point than traditional scribe and virtual scribe services”
3
Medical notes produced
output
“Dr. Chandramouli uses DeepScribe to completely offload the manual task of medical note-taking”
Reported outcome

Dr.
Chandramouli saves an average of 2.75 hours a day on documentation, reducing note-taking by 25% during clinical hours and 83% after clinical hours, and added an appointment slot generating over $700 in additional revenue each week while reducing overall work time.

Reported metrics
Note-taking time reduction (after clinical hours)83%
Note-taking time reduction (during clinical hours)25%
Daily documentation time saved2.75 hours a day
Additional weekly revenueover $700 in additional revenue each week
Show all 5 reported metrics
note-taking time reduction (after clinical hours)83%
note-taking time reduction (during clinical hours)25%
daily documentation time saved2.75 hours a day
additional weekly revenueover $700 in additional revenue each week
daily note-taking burden (baseline before DeepScribe)over 3 additional hours of meticulous note-taking a day
Reported stack
DeepScribe
Source
https://www.deepscribe.ai/resources/customers-drchandramouli
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Dr.

What tools did this team use?

DeepScribe.

What results were reported?

Note-taking time reduction (after clinical hours): 83%; Note-taking time reduction (during clinical hours): 25%; Daily documentation time saved: 2.75 hours a day; Additional weekly revenue: over $700 in additional revenue each week (source-reported, not independently verified).

What failed first in this deployment?

A hired medical scribe worsened the situation by requiring increased patient volume to cover the cost, yielding little improvement in workload.

How is this clinical documentation AI workflow structured?

Daily patient visits → DeepScribe ambient capture → Medical notes produced.