Jennifer Weinberg, MD, Physician Advisor and Vice President of Operations, R1While 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. The greatest challenge associated with middle RCM is often translating the language of a clinical encounter into the vocabulary of the revenue cycle. When it goes wrong, the result may be reimbursement delays, claim denials, and an unsatisfactory patient experience. However, by combining what humans and AI do best, providers can optimize management of the middle revenue cycle. Humans and AI: Combining strengthsIn the medical field, humans excel at solving problems that require nuanced, complex judgment and interpretation, often informed by prior experiences. In contrast, AI performs well in executing consistent, repeatable, routine tasks that often involve combing through massive amounts of data to identify outliers

By integrating Palantir's AI tools and capabilities with R1's existing technology and domain expertise, R37 can unlock faster, more precise scalable reimbursement outcomes.

EP Wealth Advisors LLC makes new $168,000 investment in R1 RCM Inc. (NASDAQ:RCM).