Healthcare Case Study

Clinical Documentation AI

2.5 hours saved per clinician per day

2.5hrs
Daily Time Saved
78%
Less After-Hours Documentation
96%
Note Accuracy
+31
Provider Satisfaction NPS

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  • Copy-paste propagation of outdated information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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