Discovery Session
The intelligent interview that shaped this blueprint.
Current StateQuestion 1 of 6
How is transcription currently being handled?
Voice-to-text with manual review
Manual entry by physicians into EMR
Outsourced transcription service
Hybrid approach
AI
Architect Insight
This creates a 48-hour documentation lag that delays billing cycles.
Pain PointsQuestion 2 of 6
What triggers the most insurance claim rejections?
Missing documentation
Incorrect E&M code level
Lack of clinical support evidence
Expired authorizations
AI
Architect Insight
Without specific clinical keywords mapped to E&M levels, claims get denied or downcoded.
StakeholdersQuestion 3 of 6
Who is responsible for verifying insurance benefits before procedures?
Front desk staff
Dedicated insurance liaison
Billing department
No one - verified after
AI
Architect Insight
The liaison manually calls insurance companies for each high-value claim - averaging 30+ calls per day.
TechnologyQuestion 4 of 6
What EMR system is currently in use?
Epic
Cerner
Athenahealth
Custom/Legacy system
AI
Architect Insight
Epic has API capabilities that could enable real-time E&M suggestions during documentation.
WorkflowQuestion 5 of 6
When does E&M code selection typically happen?
During patient encounter
Same day after hours
Next business day
At time of billing
AI
Architect Insight
Physicians spend 2+ hours nightly on documentation - a major burnout factor.
Success MetricsQuestion 6 of 6
How would you measure success for this initiative?
Reduced denial rate
Faster reimbursement
Physician time savings
All of the above
AI
Architect Insight
Primary KPI: Reduce claim denial rate from 12% to under 3% within 6 months.
6
Questions Answered
6
Discovery Tracks
100%
Clarity Score
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