The Challenge
A multi-specialty medical group with 180 providers was drowning in documentation. Clinicians spent more time on notes than on patient care, leading to burnout, after-hours "pajama time" documentation, and provider turnover.
The documentation burden was crushing:
- 2+ hours daily spent on clinical documentation
- 45% of providers doing notes after hours regularly
- Note completion backlog averaging 48 hours
- Copy-paste propagation of outdated information
- Provider burnout cited as top concern in surveys
"I became a doctor to help patients, not to type notes. On my worst days, I spend more time with my keyboard than with the people I'm supposed to be caring for."
— Family Medicine Physician
The Solution
We deployed an AI documentation assistant that captures clinical conversations, structures the information, and generates draft notes for provider review.
flowchart LR
Conversation[Visit] --> AI[AI Processing]
AI --> Draft[Draft Note]
Draft --> Review[Provider Review]
Ambient Documentation
With patient consent, the system captures the clinical conversation and extracts relevant information:
- Chief complaint and history of present illness
- Review of systems responses
- Physical exam findings as verbalized
- Assessment and plan discussion
- Patient education and questions
Intelligent Structuring
The AI structures extracted information into proper note format:
- Maps content to appropriate note sections
- Reconciles with existing patient data
- Flags inconsistencies for provider review
- Applies specialty-specific formatting
Provider Control
Every note is a draft that requires provider review and attestation:
- Clear visual indication of AI-generated content
- Easy editing and correction interface
- Provider sign-off required before finalization
- Feedback loop improves future suggestions
Results
After 6 months of deployment:
- 2.5 hours saved per provider per day on documentation
- 78% reduction in after-hours documentation time
- 96% accuracy on AI-generated note content
- 48-hour backlog reduced to same-day completion
- +31 point improvement in provider satisfaction
- Provider turnover decreased 40% year-over-year
"I finish my last note before I leave the office now. I haven't done documentation at home in three months. I have my evenings back."
— Internal Medicine Physician
Technical Details
Speech Processing
- Medical-tuned speech recognition
- Multi-speaker diarization
- Medical terminology handling
- Noise-robust processing
Clinical NLP
- Medical entity extraction
- Temporal reasoning
- Negation detection
- Specialty-specific models
Integration
- EHR integration (Epic, Cerner)
- Single sign-on
- HIPAA compliant infrastructure
- On-premise deployment option
Want to reduce documentation burden?
Let's discuss how AI can give your providers time back.
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