Improving Revenue Cycle Management with True AI and Machine Learning

Improving Revenue Cycle Management with True AI and Machine Learning

Artificial Intelligence and Machine Learning are two vast topics of discussion as we work on implementing these tools into a multitude of areas in the healthcare space. So lets narrow that down a bit and focus on Revenue Cycle Management. As organizations are confronted by rising costs and staffing shortages, they will increasingly look to artificial intelligence and automation to modernize and optimize their revenue cycle practices and operations. Specifically, providers will expect technology that delivers real-time claims and payment resolution to help them accomplish the objectives of accelerating payments, reducing patient bad debt and write-offs, and furnishing patients with a convenient, transparent consumer experience.

Medigy Insights

AI (generative AI, in particular) is dramatically improving revenue cycle management by enabling staff to operate with unprecedented efficiency and comprehensiveness. We’re moving away from a world where people need to spend countless hours combing through medical documents to manually extract key information to put into a prior auth or other encounter. GenAI completes these processes in seconds and provides justifications with direct links to the relevant medical text for critical reliability. Automating tasks like data entry eases the administrative burden on staff, empowering them to operate at the top of their license and focus on higher-value activities. Ultimately, the integration of true AI and machine learning in RCM contributes to greater accuracy, reduced denials, and a better patient experience.


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