Analyze medical billing workflows, identify revenue leaks, optimize claim submissions, and reduce denial rates. Built for healthcare practices, billing companies, and revenue cycle teams.
What This Covers
CPT/ICD-10 Coding Accuracy
Common coding errors by specialty (top 10 per specialty)
Modifier usage: 25, 59, 76, 77, AI, AS β when required vs when it triggers audit
E/M level selection (2021 guidelines): time-based vs MDM-based
Evaluation matrix: does documentation support the code billed?
Claim Denial Analysis
Denial reason code lookup (CARC/RARC codes)
Top 20 denial reasons across commercial + Medicare + Medicaid
Current KPIs (denial rate, days in A/R, collection rate)
Problem area (denials, underpayments, coding, compliance)
The agent will analyze against benchmarks and give specific, actionable recommendations.
Example Prompts
"Our orthopedic practice has a 12% denial rate. Top reasons are CO-4 and CO-16. Analyze root causes."
"Compare our cardiology fee schedule to Medicare rates for our top 20 CPTs."
"Build an appeal letter for a CO-197 denial on CPT 99214 with modifier 25."
"Audit our E/M coding distribution β we're billing 80% level 3. Is that normal for family medicine?"
"Our days in A/R jumped from 32 to 48 in two months. What should we investigate?"
Industry Context
Medical billing errors cost US healthcare $935 million per week. The average practice loses 5-10% of revenue to preventable billing issues. Denial management alone can recover 2-5% of net revenue when done right.
Built by AfrexAI β AI agent context packs for regulated industries. Get the full Healthcare AI Context Pack with 50+ frameworks at our storefront.
π‘ Examples
Give the agent your:
Specialty (orthopedics, cardiology, primary care, etc.)