Clinical documentation · Production
Dr. Korivi gains an hour back per day and deeper patient connection with DeepScribe AI medical scribe
The problem
Dr. Korivi was overwhelmed by documentation demands for up to 28 patients per day, which was time-consuming and prevented the genuine human interaction he valued as a family medicine physician.
Workflow diagram · grounded in source
1
Patient visit initiates capture
trigger
“Patients per day: 22–28
Average appointment time: 10 minutes”
2
Ambient AI listens to visit
ai_action
“AI-powered medical scribe solution that uses a combination of real-time ambient listening and medical scribes to allow physicians to focus on patient care by having a natural conversation”
3
Notes generated at high accuracy
ai_action
“Dr. Korivi claims DeepScribe captures the essential elements of his patient visits at 90+% accuracy”
4
Notes synced to athenahealth
integration
“seamless integration with athenahealth”
5
Physician reviews and signs off
human_review
“reviewing and making minor edits to DeepScribe's notes is a quick process, taking only a few minutes before signing off”
Reported outcome
DeepScribe gave Dr.
Korivi at least an hour back each day, enabled authentic face-to-face patient conversations, and created more time for family life outside the clinic.
Reported metrics
Patients seen per day22–28
Average appointment time10 minutes
Turnaround time on notes (average)45 minutes
Note capture accuracy90+%
Show all 5 reported metrics
patients seen per day22–28
average appointment time10 minutes
turnaround time on notes (average)45 minutes
note capture accuracy90+%
time saved per dayat least an hour back in his day
Reported stack
athenahealth
Frequently asked questions
What did this team achieve with this AI workflow?
DeepScribe gave Dr.
What tools did this team use?
athenahealth.
What results were reported?
Patients seen per day: 22–28; Average appointment time: 10 minutes; Turnaround time on notes (average): 45 minutes; Note capture accuracy: 90+% (source-reported, not independently verified).
How is this clinical documentation AI workflow structured?
Patient visit initiates capture → Ambient AI listens to visit → Notes generated at high accuracy → Notes synced to athenahealth → Physician reviews and signs off.