5 Most Common Medical Billing and Coding Errors (2024)

5 Most Common Medical Billing and Coding Errors (1)How accurate are the claims submitted by your medical billing department? Given the complexities of the medical coding system, it’s not surprising that mistakes are made.

Unfortunately, even small errors can lead to claim denials and payment delays.

A March 2016 NBC News report noted an error rate of 7 percent to 75 percent in medical claims, depending on the source of the statistics. In 2010, the Office of the Inspector General reported that 42 percent of Medicare claims were improperly coded and 19 percent lacked sufficient documentation.

Whether the true error rate is closer to 7 or 75 percent, billing mistakes can have a big impact on your bottom line.

In addition to being costly for your hospital, these types of mistakes can also affect your relationship with patients. Avoiding common medical billing and coding mistakes will help reduce your error rate and keep your patients happy.

Here are five errors commonly made by hospital medical billers.

1. Not Enough Data

Failing to provide information to payers to support claims results in denials or delays. For instance, problems can occur if billing department employees don’t link a diagnosis code to the Current Procedural Terminology (CPT) or Healthcare Common Procedure Coding System (HCPCS) code or don’t add a fourth or fifth digit to the diagnosis code.

Although employee error causes some of these mistakes, they can also occur if physicians don’t provide accurate diagnosis information.

2. Upcoding

Upcoding occurs when patients are billed for more complicated procedures than they actually received or bills are submitted for services that were never performed.

Upcoding errors can occur if the billing department employee makes a mistake when entering diagnosis and treatment codes or if the employee is confused by the information provided by the physician.

3. Telemedicine Coding Errors

Healthcare technology makes providing quality care to patients in multiple locations much easier, but it also complicates the billing process.

Incorrect use of modifiers for telehealth services results in payment delays. For example, the GT modifier applies to real-time telehealth services provided by audio or video systems, while the GQ modifier covers services provided through asynchronous telecommunications systems, such as an emailed X-ray.

4. Missing or Incorrect Information

Errors or omissions are a common cause of claim denials and can be easily prevented by double-checking all fields before submitting a claim. Incorrect or missing patient names, addresses, birth dates, insurance information, sex, dates of treatment and onset can all cause problems.

Although it may not happen that often, sometimes information is accidentally entered in the wrong patient’s record. If billing employees only enter the information as provided and don’t investigate mismatches in treatments and diagnoses, a claim denial will follow. Unfortunately, in busy billing departments, these problems can be easily overlooked.

5. Incorrect Procedure Codes

A simple slip of the fingers can result in the incorrect entry of a procedure code. Information may also have been incorrectly documented on encounter forms or other supporting documentation.

If claims are frequently returned to your hospital due to incorrect procedure codes, your employees may not be following the latest coding rules.

To prevent reimbursem*nt issues, hospitals must avoid medical billing and coding errors. Ongoing continuing education programs, as well as lunch-and-learns and other informal training sessions can help ensure that your employees are aware of the latest coding requirements and best practices.

Another way to improve your hospital’s efficiency is by using the right medical devices. To learn how to choose the most appropriate device for your organization, read our free eBook, The Hospital Administrator’s Handbook: Understanding Medical Device Approval.

5 Most Common Medical Billing and Coding Errors (2)

5 Most Common Medical Billing and Coding Errors (2024)

FAQs

5 Most Common Medical Billing and Coding Errors? ›

Lack of Specifics. Insurance companies often reject claims that weren't coded to the highest level of specificity. Each diagnosis must meet the maximum number of digits for that code. When the staff is not trained enough, they might make this medical coding mistake from time to time without realizing it.

What do you think is the most common mistake in diagnosis coding? ›

Lack of Specifics. Insurance companies often reject claims that weren't coded to the highest level of specificity. Each diagnosis must meet the maximum number of digits for that code. When the staff is not trained enough, they might make this medical coding mistake from time to time without realizing it.

What are two of the most common ways medical charges can be coded inaccurately? ›

The billing specialist may entering too many or too few digits for the code that describes a symptom, diagnosis or treatment. Also, codes get updated and sometimes a code may be changed or deleted from the system.

What is the highest paying CPT code? ›

The CPT code on the list of top procedures with the highest average charge per procedure is code 99285, also known as evaluation and management for an emergency department visit involving complex treatment.

What are the S codes in medical billing? ›

The S codes are used by private insurers to report drugs, services, and supplies for which there are no national codes, but for which codes are needed by the private sector to implement policies, programs, or claims processing.

What is a common coding error? ›

Some common examples of syntax errors in programming include: Missing or mismatched parentheses, brackets, or quotes. Forgetting to use semicolons or colons to terminate statements or indicate block structure. Incorrect indentation, especially in languages like Python, where indentation is significant.

What are all the errors in coding? ›

There are different types of errors in programming including syntax errors, run-time errors, linker errors, logical errors, and semantic errors. Syntax errors are the most common type of error, while run-time errors are often the most challenging to detect.

What is the hardest part of medical billing and coding? ›

One of the main challenges of working in medical billing and coding is the need to keep up with constantly changing regulations and codes. Additionally, the work can be repetitive and requires a high level of accuracy to ensure that claims are processed correctly.

What is a dirty claim in medical billing? ›

Dirty Claim: The term dirty claim refers to the “claim submitted with errors or one that requires manual processing to resolve problems or is rejected for payment”.

How do I fix medical billing errors? ›

Contact your health insurance company (if you used insurance when you got care). The company might be able to fix billing errors with your health care provider.

How common are medical billing errors? ›

Small hospitals see an average of 30 preventable medical billing errors per week. Over 50% of the insurance denials are due to erroneous medical billing inputs. The average American family loses about $500 per year because of incorrect medical billing.

Where can I get a list of all CPT codes? ›

The Centers for Medicare & Medicaid Services offer a free search (CPT code lookup) for RVU for every CPT code. Users can also request a CPT/RVU Data File license from the AMA to easily import codes and descriptions into existing claims and medical billing systems.

How many CPT codes are there in healthcare? ›

An essential standard language. More than 10,000 CPT codes today serve as the standard language for communicating medical, surgical and diagnostic utilization across health care. These codes are the foundation for how health care procedures are tracked, reimbursed, and studied.

How many types of CPT codes are there? ›

There are three types of CPT codes: Category I, Category II and Category III. All codes are five digits and can be either numeric or alphanumeric.

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