The redesign of ICD-11 allows for continuous updates, interoperative compatibility with other electronic systems, improved coordination with related terminologies, and a reduced need for post-production clinical modifications. With these changes in mind, Nancy Reading, BS, CPC, CPC-P, CPC-I, explores how this new framework supports significant enhancements to the classification of diagnoses that is built around stem and extension codes and its ability to cluster post-coordinated codes to describe a single condition.
AI is no longer a distant concept in medical coding and health information management; it is already part of daily work. For many professionals, daily encounters with AI bring a mix of curiosity, caution, and concern.
You’ll select a modifier and receive a pay boost, one that’s amplified for eligible accountable care organization participants, if CMS goes through its plan to replace patient trust code G2211 with two modifiers.
Our experts answer questions on identifying cerebral edema and brain compression in the medical record, recognizing when documentation drives diabetes coding, and utilizing photos in queries.
As if clinically validating sepsis wasn’t complicated enough, adding in the inherent complexity of pediatric health makes reviewing for this diagnosis a challenge. Discover how CDI teams and programs started their pediatric reviews and implemented sepsis education, used query templates and technology, established clinical definitions, and worked with providers and other departments such as coding teams to ensure the diagnosis that is most reflective of the patient’s condition is documented and coded.
Train your coding and clinical teams to think like an auditor before you report modifier -25. Improper payments associated with the modifier have triggered more audits and a variety of attempts to detect and recoup improper payments or stop payments from being issued in the first place.
AI is no longer a distant concept in medical coding and health information management; it is already part of daily work. For many professionals, daily encounters with AI bring a mix of curiosity, caution, and concern.
