How to Balance AI and Human Expertise in the Middle Revenue Cycle

While artificial intelligence (AI) can automate many functions within the middle revenue cycle, there remains a need for human expertise to manage complex, nuanced decisions to ensure high accuracy and proper context. Ultimately, AI should complement – not replace – humans to drive greater efficiency without compromising quality. 

In revenue cycle management (RCM), the middle cycle refers to the phase between the front end, which is patient access and care delivery, and the back end, which encompasses billing and reimbursement. During the middle revenue cycle, the focus is generally on capturing patient data, documenting clinical procedures and treatments, and ensuring compliance with regulatory standards. 

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