From a Web to a Net: Solving the $4 Billion Problem

The average dental practice is writing off 7 to 9% of their revenue due to the complexities of dental insurance

Tracy Levitz

/August 2, 2023

Practice Management: Leveraging Artificial Intelligence from Zentist on Vimeo

“Insurance is purposefully difficult … it is somehow designed to be difficult,” said Amol Nirgudkar. The Patient Prism Co-Founder and CEO echoed the sentiments - and frustrations - of many, particularly in the multi-location environment.

He was teaching a July 2023 continuing education course exploring the myriad functions of artificial intelligence in the dental industry and the ways it can smooth the patient journey while "igniting practice growth."

Mr. Nirgudkar described a “complex web” dental practices must untangle to file insurance claims and ultimately be paid for completed work. If they’re lucky.

“The statistics last year [2022] were that 11% of [dental insurance] claims were denied. 4% of claims, on top of that, were just lost,” he continued, listing inefficiencies and paperwork as common culprits. “So, you’re looking at over $4 billion in unpaid claims.” “That’s a lot of money. That’s a lot of money we’re leaving on the table.” Practices do not have to accept writing off 7% to 9% of their revenue, however.

Mr. Nirgudkar credited Zentist with asking a big question:

“Can we figure out a better way to understand claims before they are filed?”

The solution Zentist arrived at, its Remit AI software, functions as a “validation engine” - and safety net - utilizing artificial intelligence to catch errors and inconsistencies, ensuring a claim is properly constructed before it is submitted.

“We want to understand the inconsistencies in filing so we can reduce the error rate. And when we reduce the error rate, we are going to get paid. Quickly.”

Mr. Nirgudkar concluded.

FAQ

How much money does the dental industry lose annually to unpaid and denied claims?

According to 2022 industry data cited by Patient Prism CEO Amol Nirgudkar, 11% of dental insurance claims were denied and an additional 4% were lost entirely together representing over $4 billion in unpaid claims across the U.S. dental industry annually. The average dental practice writes off 7–9% of revenue due to insurance complexity.

Why are so many dental insurance claims denied or lost?

Claim denials result from a combination of front-end errors (incorrect coding, missing eligibility information, incomplete documentation), payer-specific processing rules (frequency limitations, waiting periods, prior authorization requirements), and back-end failures (late filing, missing attachments on appeal). Claim loss where submitted claims simply disappear in the clearinghouse or payer system often goes undetected without systematic claim tracking.

What does it mean to validate a dental claim before it is filed?

Pre-filing validation checks a claim for errors, inconsistencies, and payer-specific requirements before it is submitted. This includes verifying patient eligibility, confirming CDT codes match the documented procedure, checking for prior authorization requirements, and flagging known payer rules that commonly trigger denials. Catching errors at this stage prevents avoidable denials and accelerates first-pass payment.

How does AI reduce dental insurance claim errors?

AI-powered dental RCM platforms analyze historical claim data to identify patterns that predict denials such as specific payer-code combinations with high rejection rates, missing documentation fields that trigger manual review, or eligibility gaps that indicate the wrong insurance plan was billed. This intelligence is applied automatically during claim creation to reduce submission errors before they occur.

What percentage of dental practices are still using manual billing processes?

According to the 2025 CAQH Index, only 28% of dental providers use fully electronic methods for claim status inquiries, with the majority still relying on manual or partially manual processes. This gap in electronic adoption is a direct contributor to the $4 billion+ in annual billing losses, as manual processes introduce errors, delays, and inconsistency that automation eliminates.

How does Remit AI function as a safety net for dental billing?

Remit AI acts as a validation and reconciliation layer for the dental revenue cycle. It automatically parses and normalizes remittances from 700+ payers, matches payments to claims in real time, flags underpayments and discrepancies against fee schedules, and surfaces denial patterns that indicate systemic billing issues. This catches errors and revenue losses that would otherwise go undetected in manual workflows.

Can a dental practice realistically eliminate the 7–9% revenue write-off rate?

Complete elimination is unlikely, but significant reduction is achievable. Practices that automate payment posting, implement structured denial management, and gain real-time visibility into payer performance typically reduce write-off rates to 1–3%. Achieving this requires addressing revenue leakage at multiple stages: pre-submission validation, fast denial identification, and systematic appeal follow-up.