Medical Billers and Coders

AI scribes are becoming increasingly common in primary care practices. By capturing conversations and converting them into clinical notes, these tools can reduce documentation time and help physicians spend more time with patients. But faster documentation does not automatically mean cleaner claims. If AI-generated notes do not accurately reflect the services provided, important clinical details are missing, or the final note does not support the codes submitted, Medicare Advantage claims may face additional scrutiny, denials, or payment delays. For primary care practices, the goal should not be to avoid AI scribes. It is to make sure AI-assisted documentation is reviewed and supports accurate coding and billing. How AI Scribe Notes Can Affect Claims AI scribes generate documentation from conversations between providers and patients. The output may include the patient's history, assessment, plan, and other clinical details. However, an AI-generated note can contain omissions, inacc...

HCC V28 has changed how diagnoses are mapped and weighted for risk adjustment, and those changes can affect how internal medicine practices capture patient complexity. If your coding process still relies heavily on older HCC assumptions, some eligible diagnoses may not be captured as accurately under the updated model. For internal medicine practices, the concern is not simply whether a code was removed. The bigger question is whether documentation and coding are accurately reflecting the conditions managed during each encounter and whether the practice is identifying gaps that could affect risk-score accuracy and revenue. How HCC V28 Can Affect Internal Medicine Revenue Internal medicine practices frequently manage patients with multiple chronic conditions. These conditions can be important for risk adjustment, particularly when they require ongoing evaluation, monitoring, assessment, or treatment. HCC V28 changed diagnosis groupings, hierarchies, mappings, and risk weights. As a resu...