Healthcarercm

  In the final installment of our three-part series on  redefining the return on investment (ROI)  in denials management and driving  financial success , we explore best practices essential for implementing a hybrid approach that combines global resources, intelligent automation, and advanced analytics to create a cost-effective and  scalable solution for managing denials . Six key strategies can enable healthcare organizations to manage an approach with in-house and global support teams to turn denials into an opportunity for improved operational efficiency and profitability. Strategic Planning:  Collaboration between onshore and global support teams begins with a well-defined plan. Establishing clear goals with defined key performance indicators (KPIs) and service level agreements (SLAs), inventory assignments, and responsibilities ensures a balanced workload and enhances workflow management, leading to optimized operations and a distinct governance struc...

  When healthcare providers consider health information management and the tools that enhance medical coding operations, they often overlook how these processes impact patients' financial experience. Although most aspects of the medical coding process have only an indirect connection to the overall patient experience, the speed, accuracy, and thoroughness of your coding processes ultimately determine the speed and accuracy of billing for a patient's visit. As such, medical coding technologies built on artificial intelligence (AI), such as autonomous coding, are vital in expediting the coding and billing processes. In this article, we will explore how autonomous coding can improve the patient financial experience. The Impact of Autonomous Coding on Patients Autonomous coding software  leverages a variety of AI technologies, including natural language processing (NLP) and machine learning (ML), to analyze medical documentation and automatically assign appropriate codes, eliminat...

  In our previous article,  “The Role of AI and Automation in Revenue Cycle,”  we introduced the automation continuum and the use of artificial intelligence (AI) and automation in healthcare revenue cycle management (RCM). The second installment in this series focuses on the current state of AI and automation, highlighting practical applications, the benefits, and the challenges faced by industry leaders. The integration of AI and automation in RCM is about more than streamlining process flows; it’s fundamentally about driving healthcare efficiency every step of the way. Several areas where these technologies are making an impact include: Enhanced patient scheduling and registration.  AI-powered tools aim to reduce patient friction and improve overall satisfaction. Advanced AI implementations, such as sophisticated chatbots, can streamline the appointment process, offering personalized interactions and comprehensive scheduling options. This not only strengthens patie...