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The most important criterion for AI in RCM is the automation rate. In simple terms, this refers to the proportion of manual effort that the technology can handle successfully. This rate directly influences the technology’s ROI: the higher the automation rate, the greater the volume of work that can be handled inexpensively by technology, saving greater costs relative to manual effort.In the face of workforce shortages and increasing cost pressures, many organizations are turning to AI technologies to automate revenue cycle management (RCM) processes. While interest in AI is growing, choosing the right solution can be challenging. The market is crowded with vendors claiming disparate features and benefits, complicating the evaluation and selection process.
Now is the time for health systems to act on AI. By rigorously screening for automation rate, accuracy, compatibility, configurability, scalability, and vendor support, leaders can confidently select an AI solution that meets today’s needs and anticipates tomorrow’s challenges. With AI providing the backbone of a more stable and efficient RCM, health system staff can dedicate their time to what matters most: providing exceptional patient care.
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