Radiology Coding for Nuclear Medicine Diagnosis and Procedures

RadioNEX AI nuclear medicine procedure coding workflow

Radiology Coding for Nuclear Medicine Diagnosis and Procedures Nuclear medicine is becoming more documentation-driven as healthcare organizations expand the use of PET/CT, SPECT, HIDA, bone, renal, thyroid, and myocardial perfusion studies. For coding teams, the challenge is no longer just identifying a radiology CPT Code. The real task is connecting the clinical indication, diagnosis, imaging […]

How Radiology Coding Connects Imaging Technique to Correct CPT Procedure

RadioNEX AI radiology CPT code selection and imaging coding workflow

How Radiology Coding Connects Imaging Technique to Correct CPT Procedure Radiology coding begins with an imaging modality, but payment accuracy is far more than determining if the study is an MRI, CT, X-ray or ultrasound. The correct procedure code must be associated with the imaging modality, body region, protocol, contrast, views, extent of the examination […]

How Coders Handle Pulmonary Nodule Documentation from CT Findings to Claims

Pulmonary nodule documentation guides ICD-10-CM code selection from CT findings to claims

How Coders Handle Pulmonary Nodule Documentation from CT Findings to Claims A pulmonary nodule may take only a few words in a CT report, but those words can trigger several coding and billing decisions. With the FY 2027 ICD-10-CM files becoming effective on October 1, 2026, radiology coding teams have another reason to review how […]

How AI Supports Human Medical Coders in Outsourcing Workflows

I-Powered Medical Coding Outsourcing Services Combining Human Expertise and AI for Smarter US Healthcare Coding

How AI Supports Human Medical Coders in Outsourcing Workflows Introduction: The New Model of Medical Coding Outsourcing Healthcare organizations in the United States are under increasing pressure to process clinical documentation accurately while keeping claims moving through the revenue cycle. Growing patient volumes, complex documentation, staffing shortages, and changing coding requirements can make traditional workflows […]

Anesthesia Time vs OR Time: Can Coding Software Tell the Difference?

anesthesia time units vs OR time in anesthesia coding software

Anesthesia Time vs OR Time: Can Coding Software Tell the Difference? Anesthesia coding requires careful attention to documentation, timing and coding guidelines. One of the challenges for coding teams is to differentiate actual anesthesia time from the total time the patient is in the operating room. Differences between anesthesia start and stop time and OR […]

How Rafodex AI Connects Diagnosis, Documentation, MEAT, and HCC Assignment

From Clinical Documentation to HCC Assignment with Rafodex AI

How Rafodex AI Connects Diagnosis, Documentation, MEAT, and HCC Assignment AI connects diagnosis, clinical documentation, MEAT evidence, ICD-10-to-HCC mapping, and final HCC assignment by turning unstructured medical records into a traceable coding workflow. It identifies documented conditions, checks whether the record supports MEAT criteria, maps supported ICD-10-CM diagnoses to the applicable CMS-HCC risk adjustment model, […]

How AI Separates Drug, Administration, and E/M Coding in Urgent Care

How AI Improves Urgent Care Coding for Drug, Administration, and EM Services

How AI Separates Drug, Administration, and E/M Coding in Urgent Care Urgent care encounters often combine a drug, its administration, and a separate evaluation and management service in the same visit. Correct coding requires the documentation to clearly support each service and distinguish the clinical work performed. ArtigenTech’s Quikodex AI can analyze the encounter as […]

How AI Extracts Billable Clinical Evidence from ED Documentation

Rapidex AI Smarter Emergency Medical Coding from ED Documentation

How AI Extracts Billable Clinical Evidence from ED Documentation AI extracts billable clinical evidence from emergency department documentation by analyzing physician notes, procedure records, diagnostic results, medication administration, critical care time, and other encounter data using Natural Language Processing (NLP), machine learning, and clinical language models. The extracted evidence is then mapped to coding rules […]

AI-Based Modifier Validation Using Current Coding Guidelines

AI-Based Modifier Validation for Accurate Medical Coding Compliance

AI-Based Modifier Validation Using Current Coding Guidelines Medical coding has evolved beyond assigning diagnosis and procedure codes. Today’s coding professionals must also determine whether a procedure requires one or more medical coding modifiers to accurately represent the services performed. Modifiers communicate additional information about a service without changing the procedure code itself. They indicate circumstances […]

Reducing Radiology Coding Rework with AI-Powered Intelligent Edit Validation

Radiology Coding Rework Best Practices for Intelligent Edit Validation

Reducing Radiology Coding Rework with AI-Powered Intelligent Edit Validation One of the leading causes of delayed reimbursement, increased administrative costs, and claim denials is radiology coding rework. Many times coders have to go back to the completed claims and make corrections due to common issues like incorrect radiology CPT codes, missing medical necessity documentation, failed […]