Medical professionals, particularly surgeons, may be leaving significant amounts of their reimbursements unclaimed due to misunderstandings and complexities in coding regulations. Many physicians, including orthopedic sports medicine surgeons, often lack formal training in coding, leading to situations where their work is underrepresented in the reimbursement process.
A recent experience from a surgeon revealed that despite being one of the busiest in the department, he was receiving only 80% of the credit for his work. This discrepancy was largely due to being downcoded caused by minor documentation gaps, such as not specifying the duration of patient discussions on critical topics like smoking cessation.
Following this realization, the surgeon made efforts to improve his documentation practices, resulting in a substantial increase in his relative value unit (RVU) production numbers. His proactive approach led him to assist colleagues facing similar issues, demonstrating a common need for better coding practices among medical professionals.
With coding rules changing significantly in 2021 and 2023, there’s a major emphasis on the accuracy of documentation concerning time spent and medical decision-making rather than merely counting items in a patient’s history. Coders are generally willing to help, but they can only work with what is properly documented.
To achieve better coding practices, physicians are encouraged to regularly audit their work and engage in conversations with their coders. Understanding the appropriate complexities of patient visits can lead to more accurate coding, which ultimately ensures that healthcare providers receive fair compensation for their services.
Why this story matters: The financial health of medical practices hinges on accurate coding and documentation.
Key takeaway: Physicians can significantly enhance their reimbursement by improving coding practices and documentation accuracy.
Opposing viewpoint: Some may argue that the system’s complexity makes it overwhelming for providers, leading to potential under- or overcoding.
