Coordination of Benefits (COB) in Medical Billing

Home / Coordination of Benefits (COB) in Medical Billing (The Complete Guide to Payer Responsibility, Claims, Secondary Billing & Revenue Recovery) Coordination of Benefits (COB) is one of the most important and frequently misunderstood components of the U.S. medical billing revenue cycle. When a patient has two or more insurance coverages, simply identifying the insurance […]
CO-6 Denial Code: Procedure Code Is Inconsistent With the Patient’s Age

Home / CO-6 Denial Code: Procedure Code Is Inconsistent With the Patient’s Age What Is CO-6 Denial Code? CO-6 Denial means the procedure code is inconsistent with the patient’s age. In simple terms, the payer believes that the procedure reported on the claim does not match the patient’s age. A CO-6 Denial does not necessarily […]
CO-5 Denial Code: Procedure Code Is Inconsistent With the Place of Service

Home / CO-5 Denial Code: Procedure Code Is Inconsistent With the Place of Service What Is CO-5 Denial Code? CO-5 Denial means the procedure code is inconsistent with the place of service. In simple terms, the payer believes that the procedure reported on the claim does not match the location where the service was performed. […]
CO-4 Denial Code: Procedure Code Is Inconsistent With the Modifier Used

Home / CO-4 Denial Code: Procedure Code Is Inconsistent With the Modifier Used What Is CO-4 Denial Code? CO-4 Denial means the procedure code is inconsistent with the modifier used. In simple terms, the payer believes that the CPT or HCPCS procedure code and the modifier reported with it do not work together correctly. A […]
CO-31 Denial Code: Meaning, Causes, How to Fix and Prevent It.

Home / CO-31 Denial Code: Meaning, Causes, How to Fix and Prevent It. What Is CO-31 Denial Code? CO-31 means “Patient cannot be identified as our insured.” It is a Claim Adjustment Reason Code (CARC) used by payers to explain why a claim was not paid as submitted. The current X12 code list defines CARC […]
The Hidden Economics of Running a Modern Medical Practice

Home / The Hidden Economics of Running a Modern Medical Practice Why Patient Volume, Revenue, and Profitability Are Three Very Different Things Executive Summary A medical practice can be busy, respected, clinically excellent and financially unhealthy. That may sound contradictory. But it is one of the most important realities of modern healthcare. A physician can […]
Why Prior Authorization Has Become a Clinical, Financial, Operational, and Patient Experience Challenge

Home / The Hidden Cost of Delayed Care and Delayed Revenue Why Prior Authorization Has Become a Clinical, Financial, Operational, and Patient Experience Challenge Prior authorization was originally designed as a utilization management mechanism. The basic idea was straightforward that before certain healthcare services were provided, insurers would review whether the requested service met defined […]
How to Hit 98% First-Pass Rate for Dental Claims

Home / How to Hit 98% First-Pass Rate for Dental Claims The 12 Points Dental Clean Claim Checklist Dental claims are one of the most detail sensitive billing processes in healthcare. Unlike medical billing, dental claims are denied not just for medical necessity issues but for something as simple as a missing tooth number or […]
How to Hit 98% First Pass Acceptance Rate

Home / How to Hit 98% First Pass Acceptance Rate Here is the 12 Points Clean Claim Checklist Every denial that hits your desk costs money twice: once in the lost time to rework it, and again in the delayed cash flow while it sits in AR. The fastest way to protect both is […]
Top 10 Medical Claim Denial Reasons in 2026, and Why Most Organizations Still Get Them Wrong

Home / Top 10 Medical Claim Denial Reasons in 2026, and Why Most Organizations Still Get Them Wrong Medical claim denials are no longer a “billing department problem.” In 2026, medical claim denials represent a systemic operational failure spanning registration, clinical documentation, coding, payer intelligence, and governance. With denial rates averaging 11–15% and over 41% […]