🎙 AI Scribe vs Manual Documentation Time Comparator
A comparison of the time required for manual documentation versus using an AI scribe in clinical settings.
The Manual Charting Burden
Typing during visits, finishing notes after hours.
- 14-26 min: Avg manual time/patient (placeholder scaling by complexity)
- ~45%: After-hours share (placeholder pajama-time portion)
- ~200+: EHR clicks/note (placeholder click-burden stat)
- High: Physician burnout link (placeholder correlation note)
Why manual notes eat the evening
Placeholder: typing during the visit competes with patient attention, pushing composition into pajama time.
Ambient AI Drafts the Note
Audio capture generates a draft note automatically.
- 3-7 min: Avg AI time/patient (placeholder review-only scaling)
- High: Draft accuracy (placeholder ambient capture quality)
- Low: Setup effort (placeholder onboarding note)
- ~100%: Review-only share (placeholder time composition)
How ambient scribing works
Placeholder: microphone captures the conversation, AI structures it into a draft note for review.
Attention During the Visit
Typing divides focus; ambient listening does not.
- ~55%: Manual during-visit time (placeholder split of total)
- ~0 min: AI during-visit time (placeholder no active typing)
- Improved: Eye-contact impact (placeholder patient rapport note)
- Reduced: Cognitive load (placeholder attention-split note)
Split attention vs full presence
Placeholder: manual note-taking forces attention-splitting; AI scribe lets physicians stay present.
Review, Edit, and Sign
Composing from scratch vs editing a ready draft.
- ~45%: Manual after-visit time (placeholder composition share)
- ~100%: AI after-visit time (placeholder quick edit share)
- 2-4 min: Edit time/note (placeholder review duration)
- Reduced: Signing delay (placeholder faster turnaround)
Composition vs review
Placeholder: reviewing a drafted note is far faster than composing one from a blank page.
Cumulative Daily and Weekly Savings
Minutes saved per patient compound across a full day.
- Varies: Daily time saved (placeholder patients x per-patient delta)
- Hours: Weekly time saved (placeholder five-day extrapolation)
- Large: Pajama time cut (placeholder after-hours reduction)
- Lower: Burnout risk (placeholder wellbeing association)
Where the saved time goes
Placeholder: saved minutes mostly come out of after-hours charting, not clinic throughput.
Placeholder: cumulative savings compound daily, reducing after-hours burden most.
A comparison of the time required for manual documentation versus using an AI scribe in clinical settings.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install