Medical coding supports healthcare billing, research, and patient care data, yet it’s often slow, error-prone, and costly. New studies show that fine-tuned AI models trained on ICD-10 data can ...

ICD-10 medical coding is more than just assigning numbers—it’s about precision, compliance, and integrity. Real-world case studies reveal both the technical skill and the ethical judgment required to ...

On October 1, 2014, a new version of diagnosis coding -- the International Classification of Diseases, 10th Edition, Clinical Modification (ICD-10-CM) [1]-- goes into effect. A significant change for ...

Nobody needs to go to medical school to know that people have two ears. However, if physicians treat a patient with suppurative, or pus-discharging, otitis media, they don't have to specify left ear, ...

1. Ask outsourced coding vendors for documentation on ICD-10 transition plans. Many ASCs outsource their coding to third-party vendors, meaning surgery center leaders must speak to vendors about their ...

The COVID-19 pandemic highlighted the mental and behavioral health needs of many Americans, and, with social isolation rampant during that time, particular focus was trained on the health effects that ...

Revenue cycle management performance has never been more important. And recent advances in technology, particularly artificial intelligence, offer much potential for healthcare's administrative ...

Many rare diseases don't have an ICD code, and the National Center for Advancing Translational Sciences (NCATS) at NIH is exploring ways to best expand those codes to benefit rare disease patients and ...

The "lookup-before-coding" method allows AI to review past cases, improving ICD code accuracy and outperforming physicians and baseline AI models. Smaller open-source AI models, when using the lookup ...