Course 1 - Introduction to Radiology Medical Coding
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Module 2 - CPT®, HCPCS Level II, and ICD-10-CM
This module equips healthcare providers with essential knowledge of CPT, HCPCS Level II, and ICD-10-CM coding systems, emphasizing their critical role in effective billing and insurance reimbursement. Mastery of these coding systems is vital for accurate documentation and financial operations within healthcare.
Module 3 - Types of Healthcare Coverage
This module examines the various types of healthcare coverage such as Medicare and Medicaid, CPT® global packages, the concept of medical necessity, the National Correct Coding Initiative (NCCI), and relevant governing organizations.
Module 4 - Radiology-Specific Terminology
This module emphasizes the importance of understanding radiology medical terminology for coding professionals. Familiarity with precise definitions is crucial for interpreting anatomical terms, conditions, diseases, injuries, surgical procedures, medical treatments, drugs, equipment, and supplies. Mastery of this terminology enables coders to assign accurate diagnosis codes for patient billing and facilitates effective communication among healthcare professionals. Ultimately, this knowledge ensures cohesive patient care and enhances the overall efficiency of healthcare delivery.
Module 5 - The Medical Imaging Exam, From Order to Report
This module provides a comprehensive overview of Radiology Order Appropriate Use Criteria (AUC) and Clinical Decision Support (CDS). It explores the significance of AUC in guiding appropriate imaging orders to enhance patient care and optimize resource utilization. Participants will learn about the essential components of a radiology report, including patient demographics, clinical indications, imaging findings, and recommendations. The module also includes a detailed example of a radiology report, illustrating best practices in report writing and communication of results. By the end of this module, participants will be equipped with the knowledge to effectively implement AUC and improve the quality of radiology reporting.