Robotic Process Automation (RPA): Doing the Heavy Lifting in Fraud Detection for Healthcare Payments

Author(s)	Puneet Sharma
Country	United States
Abstract	The healthcare industry is one of the most targeted sectors for fraud due to the complexity of payment systems, the high volume of transactions, and the sensitivity of personal data. Robotic Process Automation (RPA) has emerged as a critical ally in fraud detection, enabling healthcare providers and insurers to identify anomalies, streamline audits, and safeguard patient information. Unlike traditional manual approaches, RPA leverages machine learning algorithms, process optimization, and real-time data analytics to combat fraudulent activities effectively. This paper explores the role of RPA in revolutionizing fraud detection for healthcare payments, focusing on its ability to handle high transaction volumes, enhance operational efficiency, and improve compliance. It examines key technologies, implementation strategies, and future trends shaping this field. As the healthcare sector embraces digital transformation, RPA serves as a cornerstone for building secure, efficient, and resilient payment ecosystems.
Keywords	Robotic Process Automation, Healthcare Fraud Detection, Payment Integrity, Machine Learning, Data Analytics, Operational Efficiency, Compliance Automation, Digital Transformation, Process Optimization
Field	Engineering
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-12
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.23468
Short DOI	https://doi.org/g82h36

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International Journal For Multidisciplinary Research