Specificity Gap
70%
Notes lack CPT/ICD specificity
Incomplete documentation and inaccurate coding aren’t just compliance risks — they’re massive revenue leaks. Studies show that 70% of provider notes lack CPT/ICD specificity, coders spend 20–30% of their time hunting for missing data, and 15–20% of manual coding attempts contain errors. The result: underbilling, denials, compliance penalties, and delayed reimbursement.
RevenueShield is the AI-driven coding and documentation optimization platform that ensures every clinical encounter is captured completely, compliantly, and efficiently. Powered by ChartAI and AutoCoder AI, RevenueShield prompts providers for complete documentation in real time and generates explainable codes with rationale and confidence scoring. The result: higher accuracy, faster coding, and fewer downstream denials.
U.S. Market Overview
Notes lack CPT/ICD specificity
Retrieving buried EHR data
Missed revenue & audit exposure
CMS & payers tightening
Wasted = retrieval/navigation; Productive = review/coding.
Lowering errors reduces missed revenue and audit exposure.
Relative index (illustrative) across key drivers.
Indexed to 100 in 2020 (illustrative to show direction of change).
Across Europe, Asia, and the Middle East, healthcare organizations face rising complexity in payer rules and coding requirements. Whether ICD-10, ICD-11, or local coding frameworks, under-documentation and manual error remain universal challenges. Revenue leakage from incomplete coding spans geographies, payer systems, and practice sizes.
1.Integrated directly into the EHR, ChartAI nudges providers to include missing clinical details during documentation, ensuring note completeness upfront.
Automatically generates CPT and ICD codes with confidence scores and explainable rationale, giving coders precise insights into AI recommendations.
Provides full coder override and audit trail features, combining automation with expert human judgment.
RevenueShield learns from coder decisions, payer feedback, and audit outcomes to continually improve coding accuracy.
RevenueShield combines natural language processing (NLP), explainable AI, and clinical knowledge models to optimize documentation and coding.
For a 1,000-provider health system
Leads to lost reimbursement
Target reduction range
Per year
Coders focus on complex cases
Eliminating 15–20% coding errors can retain $10M+ annually. Productivity gains free coders to focus on complex cases, reducing staffing pressure.
Don’t let incomplete documentation or coding errors drain your revenue. With RevenueShield, you can capture every dollar, improve compliance, and empower coders with AI-driven accuracy. Contact Scale Healthcare today to see RevenueShield in action.
Be a part of the SCALE family.
Join Our SCALE Team
Be a leading voice in the healthcare services industry.
Please fill out the form below to sign up for the SCALE newsletter.
Please fill out the details below and a team member will reach out to you.