Implementing Predictive Analytics for Proactive Revenue Cycle Management

Ritesh Chaturvedi; Saloni Sharma

doi:10.55544/jrasb.3.4.9

Authors

Ritesh Chaturvedi Independent Researcher, USA.
Dr. Saloni Sharma Independent Researcher, USA.

DOI:

https://doi.org/10.55544/jrasb.3.4.9

Keywords:

Healthcare system, predictive analytics, proactive revenue, management

Abstract

This research investigates the deployment of predictive analytics in the revenue cycle management (RCM) system in health-care organizations. In other words, adopting predictive analytics strategies that are more proactive rather than only the reactive approach has the potential of greatly increasing the revenue capture, decreasing the denial rates, and increasing the efficiency of operation. The analysis of the literature and the results of the research indicate that the RCM benefits from the use of predictive analytics; all the while having acknowledged some challenges, including data integration and the requirement for professionals that understand the field.

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