Draft one clinical note or patient communication using an AI tool. If you don't have ambient documentation access, use Claude or ChatGPT with pasted clinical context as a test.
Documentation Is Breaking Healthcare
Clinicians spend more time on documentation than on direct patient care. EHR documentation time has grown with each Meaningful Use requirement. Burnout surveys consistently cite documentation burden as the top driver.
AI doesn't eliminate documentation. It changes who does the first draft — and that changes everything. When AI drafts and you review, documentation time drops by 50-70% in well-designed studies.
Key Points
- The average clinician spends 2 hours on documentation for every 1 hour of direct patient care
- After-hours documentation (pajama time) is one of the strongest predictors of burnout
- AI documentation tools don't require you to change how you practice — just how you capture it
The Ambient Documentation Workflow
The workflow with ambient documentation tools: see patient normally, the AI listens (with consent), after the visit you review and approve the AI-generated note. You don't dictate or type.
Most tools generate a structured note with accurate HPI, ROS, Assessment, and Plan. You make corrections, add nuance, and sign. Total time: 2-3 minutes vs. 15-20 minutes for traditional documentation.
The key review behavior: read the entire AI-generated note before signing. AI documentation tools make consistent errors in specific areas — knowing your tool's weak spots makes review faster and more targeted.
Prior Authorizations with AI
Prior authorizations are pure administrative burden. AI can significantly reduce the time required by drafting the clinical justification narrative using diagnosis codes, clinical history, and the specific criteria for the requested service.
Use Claude or ChatGPT for PA drafting. Paste in: patient diagnosis, requested service, relevant clinical history, and the specific criteria from the payer. Ask for a clinical justification letter.
Key Points
- AI-drafted PA letters need clinical review before submission — you are responsible for accuracy
- Include specific clinical metrics (labs, imaging findings, functional status) that AI may miss without explicit input
- Save AI-drafted templates for common PAs and refine over time
Discharge Summaries and Care Transitions
Discharge summaries are time-intensive and often inadequate — a direct cause of readmissions and care transition failures. AI can generate a complete draft discharge summary from structured EHR data plus a brief verbal or typed summary.
The key: give the AI the structure you want and the clinical facts. You provide the judgment about what's important to communicate. AI provides the prose.
The HIGHEST value use of AI in documentation is discharge summaries for complex patients. These summaries normally take 20-30 minutes and are often incomplete. AI drafting with your review typically takes 5-8 minutes and produces more complete output.
Day 3 Complete
- Know the ambient documentation workflow from patient encounter to signed note
- Understand where AI documentation tools make common errors
- Can use AI for prior authorization drafting with appropriate review
- Have a practical approach to AI-assisted discharge summaries
AI Ethics, Bias, and Patient Safety
Day 4 covers the difficult questions — what happens when AI is wrong in a clinical context, and how to use AI responsibly.
Day 4: AI Ethics, Bias, and Patient Safety