Ambient AI Clinical Documentation for a Multi-Specialty Clinic Group
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Problem
Two hours of after-shift charting
An 18-clinic multi-specialty physician group in the US Midwest was watching clinician burnout climb as doctors spent close to two hours after every shift completing visit notes. Documentation backlogs delayed billing, note quality varied between specialties, and two physicians had reduced their patient load specifically to keep up with charting.
Solution
Ambient listening, structured notes
We developed an ambient documentation system that listens to each consultation through a consent-gated room device, transcribes speech in real time, and uses a large language model to draft a structured clinical note mapped to the relevant specialty template. Drafts land in the EHR for physician review and sign-off, with every AI suggestion editable and auditable.
Measurable Impact
What changed after launch
Average after-hours charting time reduced from 118 to 31 minutes per clinician within 3 months
92% of AI-drafted notes signed off with only minor edits by the final month of rollout
Same-day note closure rate improved from 46% to 88% across all 18 clinics
Clinician-reported burnout scores on internal surveys improved by 27% over two quarters
Tech & Tools Used
What powered the build
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