Every statistic in our blog content is sourced from published industry research. Our analytical framework is igion.ai's own — built on established dental practice finance principles, not invented benchmarks. This page documents both.
Where igion.ai uses its own scoring or classification logic, we say so clearly. The following explains what is proprietary and what is established industry practice.
igion.ai's three-tier contract classification system is a proprietary methodology developed by the igion.ai team. It is built on financial benchmarks published by the ADA and widely used by dental practice management consultants, but the specific scoring thresholds, weighting, and classification logic are igion.ai's own. The framework operationalizes what consultants have long recommended — evaluate each carrier on its actual contribution to your practice's bottom line — into an automated, data-driven process.
The Contract Health Score is igion.ai's proprietary composite metric. It synthesizes net reimbursement rate, adjustment percentage, collections efficiency, and patient volume into a single score per carrier. The underlying inputs are standard dental practice financial metrics; the scoring algorithm and weighting are igion.ai's own design. The score is intended as a starting point for strategic conversations, not a definitive audit.
Net reimbursement rate = net collections ÷ gross production, expressed as a percentage. This is a standard dental practice finance metric used by accountants, consultants, and the ADA. igion.ai calculates this automatically from your PMS export data. The benchmark ranges cited in igion.ai content (e.g., 60–65% overhead) are sourced from ADA published data.
This distinction — separating contractual write-offs from operational collection failures — is a standard framework in dental practice financial management, widely used by dental CPAs and practice management consultants. igion.ai automates the calculation and presents it per carrier, but the underlying concept is established industry practice.
igion.ai analyzes data you export from your practice management software (Dentrix, Eaglesoft, Open Dental, etc.). Patient-identifying columns are stripped automatically at ingestion before any data is stored. The tool works with carrier-level financial aggregates: production by carrier, adjustments by carrier, and collections by carrier. As disclosed in our Terms of Service, carrier-level aggregates may be incorporated into anonymized industry benchmarks — no patient or practice-identifying information is ever included. Practices may opt out of benchmarking at any time by contacting [email protected].
Statistics and industry data cited in igion.ai blog articles are drawn from the following published sources.
Cited for statistics on dentists dropping insurance networks (23–30% in 2024, 33% considering in 2025) and primary reasons for network exits.
Source for the benchmark that PPO write-offs average 30–40% of gross production for participating practices.
Cited for the 2025 figure on dentists dropping insurance networks.
Background research on practitioner sentiment, administrative burden, and network participation trends.
Supporting research on write-off calculation methodology and negotiation outcomes.
PPO Negotiation Specialist Industry Reports
Background data on typical fee increase outcomes (10–30%) from active carrier negotiations. Note: results vary significantly by market and carrier.
If you identify an error in any statistic or attribution, please contact us at [email protected]. We are committed to keeping our content accurate and will issue corrections promptly.