Poor business decisions from lack of CDT-level claim analytics
Definition
Most practices do not segment denial and payment data by CDT code and payer, limiting their ability to see which procedures, codes, or documentation patterns drive the most financial leakage. Payer materials emphasize code‑specific requirements and documentation rules, but without claim analytics, offices make ad‑hoc changes rather than targeted, data‑driven improvements in coding and submission processes.
Key Findings
- Financial Impact: Misallocation of training, staffing, and technology investments due to blind spots in procedure‑level performance can leave 3–5% of potential collections unrealized over years, representing hundreds of thousands of dollars for multi‑doctor practices.
- Frequency: Ongoing
- Root Cause: Practice management and billing systems are often not configured to report by CDT code and denial reason, and leadership lacks dashboards linking CDT usage to payer outcomes, leading to reactive rather than proactive revenue cycle management.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Dentists.
Affected Stakeholders
Practice owners, DSO executives, Revenue cycle leaders, Office managers
Deep Analysis (Premium)
Financial Impact
$10,000-$25,000/year in Medicaid submission rejections, rework, and missed updates to rules • $10,000-$30,000/year in denied VA claims, rework, and delays in reimbursement; patient friction • $10,000-$30,000/year in wasted Medicaid ortho submissions; staff time; lost revenue on eligible cases (no targeting)
Current Workarounds
Adds all possible attachments (X-rays, narratives, chart notes) to every resubmission; wasteful; or submits minimal docs and gets denied again • Allocates training equally across all staff; guesses based on intuition or past one-off denial notices • Asks Office Manager to call payer; relies on verbal pre-auth that may be incorrect; operates on assumptions
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Revenue loss from CDT coding errors and claim denials
Lost revenue from incomplete or missing CDT-coded claim data
Operational cost from repeated claim corrections and resubmissions
Cost of poor claim quality from non‑compliant CDT usage
Payment delays from documentation‑dependent CDT codes
Lost clinical capacity to administrative CDT coding work
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