Pitfalls of Using Coding Algorithms (Med Practice Made Perfect - Episode 04)
While coding algorithms can significantly improve the accuracy and efficiency of medical coding, they are not a replacement for human expertise. In fact, working with coders is essential to optimizing the use of coding algorithms and maximizing profitability.
Coders play a critical role in ensuring that coding algorithms are used correctly and effectively. They are trained to identify nuances and complexities in medical data that algorithms may miss, ensuring that codes accurately reflect a patient's condition, treatment, and procedures. Additionally, coders provide a level of quality control, ensuring that codes are consistent, compliant with regulations, and optimized for reimbursement rates.
By working with coders in addition to algorithms, medical practices can achieve significant benefits. Improved accuracy in coding leads to more accurate billing and fewer claim denials, which can positively impact the financial health of the practice. Additionally, accurate coding ensures that patients receive appropriate care and treatment, which can lead to better health outcomes and higher patient satisfaction.
In this episode of the Med Practice Mad Perfect podcast, Tom’s guests are Practicefirst’s coding managers Kelly Cole (CPC, CMBS, CPMA) and Vidya Baliga (COC, CPMA, CRC) both of whom are certified coders and certified auditors through AAPC. They discuss the challenges and opportunities that arise from the use of coding algorithms, as well as best practices for ensuring that coders are trained and supported to use algorithms effectively.
Listen to learn more about how medical practices greatly benefit from working with coders in addition to algorithms to maximize accuracy and therefore profitability.
Practicefirst is an industry leader in revenue cycle management, providing medical billing, coding, credentialing, and full-service practice management solutions to healthcare organizations.
Informações
- Podcast
- Publicado17 de abril de 2023 15:00 UTC
- Duração26min
- Temporada1
- Episódio4
- ClassificaçãoLivre