AI and automation are revolutionizing healthcare revenue cycle management (RCM), reducing inefficiencies, optimizing financial workflows, and enhancing the patient experience. Yet many health systems struggle to navigate the complexities of adoption due to limited financial and human resources or uncertainty over the potential value that these technologies can deliver.
It is important to understand that automation is a continuum, progressing from rules-based workflows to AI-driven predictive analytics, chatbots, and generative AI solutions. AI is already transforming key aspects of patient access and financial clearance, including scheduling, insurance benefit verification, and prior authorizations, as well as clinical documentation, coding, and management of denied claims, reducing administrative burdens and improving cash flow and revenue.
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