This module sets the stage for understanding the essentials of Computer-Assisted Coding (CAC) systems. Participants will explore the fundamental concepts, including the purpose and benefits of CAC in healthcare documentation. The module also covers various CAC technologies, such as natural language processing (NLP) and machine learning, and introduces the different types of CAC systems used in the industry. Through practical exercises, learners will begin to identify how these technologies are applied in coding, setting the groundwork for more advanced applications.

Building on the foundational knowledge, this module dives into the practical aspects of working with CAC systems. Learners will be guided through the processes of integrating CAC systems into existing healthcare documentation workflows and strategies to enhance efficiency. Additionally, the module will cover how to interpret CAC outputs accurately and address common troubleshooting issues. This hands-on approach ensures learners develop the skills necessary for optimizing CAC system usage and maintaining coding accuracy.

The concluding module focuses on the evaluation, compliance, and future of CAC systems. Participants will learn how to assess CAC system performance, including accuracy and user satisfaction, and understand the importance of regulatory compliance in maintaining CAC systems. The module also introduces learners to the latest advancements in CAC technologies and how to stay informed about innovations. Through real-world case studies, participants will gain insights into optimizing CAC system usage for their organizations.