Revenue cycle transformation made easy
Firms must get smarter about leveraging data analytics and automation to improve per-agent collection rates, reduce denials, and analyze their revenue cycle processes. At Genpact, our models use intelligent data, claims, and contractual denial analytics techniques to allow firms to accurately assess the collection probability of individual accounts. We help clients apply artificial intelligence (AI), machine learning (ML), and quick process automation to help firms avoid denials, while the application of descriptive and predictive analytics delivers new insights into their end-to-end revenue cycle.
Genpact's RCM approach includes four key pillars:
- Claim Analytics and Recovery Engine (CARE): improves per-agent collection by leveraging data from contractual denial, clinical and trend analysis, and past claims data to assign collection probability
- aiPlay: focuses on denial management through predictive analytics. aiPlay is a solution developed on a deep neural networks that is applicable across industries and functions for predicting denials. When this tool predicts claims with a higher probability of denial, teams can take action to proactively rectify them
- Automation hub: provides a dedicated group of experienced automation experts bringing different skill sets together from large platforms like UiPath and Automation Anywhere to engineers for creating small and medium macros. This approach helps our clients consolidate and optimize their automation efforts
- RCM Analytics Suite: a revenue dashboard and business intelligence tool that uses descriptive and predictive analytics to uncover new insights from end-to-end RCM operational metrics including order-to-bill, bill-to-collect, and collect-to-cash
Our solutions are part of a wider suite of innovative RCM services that include patient access services, medical coding, and patient financial services. Our flexible engagement approach also allows clients to co-develop a proprietary solution, leverage partner technologies, or do a combination of both.