With advancements in artificial intelligence (AI) and augmented intelligence enabled healthcare, the American Medical Association provided guidance outlined in Appendix S taxonomy for describing and classifying various AI applications. This article will help coders understand the AI taxonomy.
With its enhanced specificity and comprehensive structure, ICD-11 offers a more detailed and accurate framework for documenting cancer diagnoses. Karla VonEschen, MS, CCDS-O, CPC, CPMA , explores how precise documentation and the coder’s ability to capture all the diagnosis codes to fully describe the condition will be crucial for healthcare organizations.
Social issues often get left out of the conversation when providers, caregivers, and patients are busy, stressed, and focused on the immediate problem that occasioned a visit or admission; however, Nicole Nodal-Rodriguez, MSN, RN, CCDS , considers how having SDOH carried through the record can have a trickledown effect on treatment plans, identification of health disparities, and community services.
The National Institutes of Health recently released a study that found an artificial intelligence screening tool was as effective as healthcare providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. The tool also has the potential to reduce readmissions.
Accurate coding of hepatitis C scenarios relies heavily on recognizing and interpreting key details within clinical documentation, paying close attention specifically to the type of hepatitis, the acuity of the condition, the current status of the disease, and any associated complications or comorbidities. Note : To access this free article, make sure you first register if you do not have a paid subscription.
Our experts answer questions about coding breast implant-associated anaplastic large cell lymphoma, medical necessity documentation, and anesthesia coding for knee surgery.
Catherine O’Leary, RN, BSN, CCDS , suggests that those who begin with manual coding and DRGs often develop a stronger, more intuitive foundation in CDI and how integrating manual training into a modern CDI program doesn’t mean abandoning technology. Her insights may prove valuable to coders who may increasingly find themselves working at the intersection of coding and CDI.
Our experts answer questions on the role of prior encounters in queries, coding neoplasms in transplanted organs, and workflows for reporting malnutrition and pathology.
