How Artificial Intelligence Can Improve Coding Audits - insideBIGDATA

Medical coding audits are complex, time-consuming, and costly processes that historically have required significant investment of manual resources to complete, but, more recently, advances in artificial intelligence have made audits more efficient, accurate, and cost-effective. Due to the volume and complexity of clinical documentation that providers must manage each day in support of coding, the Medical Group Management Association (MGMA) recommends that medical practices perform coding audits on a regular basis. Coding audits are an important tool to ensure that a practice's processes are functioning appropriately and are imperative for effective risk mitigation and revenue cycle optimization, according to MGMA. Coding audits ensure accuracy and enable practice leadership to understand the level of complexity in the coding and billing within the practice. They can also identify educational opportunities for coders – whether outside vendors or in-house staff – to protect the practice and maintain compliance.