Robotic Process Automation (RPA) for Efficient Healthcare: Transforming Eligibility Verification
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Information Technology | India | Volume 12 Issue 10, October 2023 | Popularity: 4.9 / 10


     

Robotic Process Automation (RPA) for Efficient Healthcare: Transforming Eligibility Verification

Rahul Laxman Chaudhary


Abstract: Robotic Process Automation (RPA) has emerged as a promising solution for automating repetitive and high - volume tasks in various industries, including healthcare. This paper explores the application of RPA in the context of utilization management, specifically in the domain of eligibility verification. The study examines the viability of RPA for automating the eligibility verification process, which is a crucial step in healthcare utilization management. Drawing on existing literature, this paper presents a comprehensive framework to evaluate the effectiveness of RPA in streamlining the eligibility verification process, leading to improved efficiency, reduced errors, and enhanced patient experience. The findings suggest that RPA can significantly improve the accuracy and timeliness of eligibility verification, allowing healthcare organizations to focus on more value - adding activities and improve overall patient outcomes [1] [2] [3]. The paper also discusses the challenges and considerations associated with the implementation of RPA in this domain, providing practical insights for healthcare organizations seeking to leverage this technology.


Keywords: Healthcare, Utilization Management, Eligibility Verification, Digital Transformation


Edition: Volume 12 Issue 10, October 2023


Pages: 2168 - 2170


DOI: https://www.doi.org/10.21275/SR231012103217


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Rahul Laxman Chaudhary, "Robotic Process Automation (RPA) for Efficient Healthcare: Transforming Eligibility Verification", International Journal of Science and Research (IJSR), Volume 12 Issue 10, October 2023, pp. 2168-2170, https://www.ijsr.net/getabstract.php?paperid=SR231012103217, DOI: https://www.doi.org/10.21275/SR231012103217

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