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Review Papers | Computer Science & Engineering | United States of America | Volume 13 Issue 8, August 2024 | Popularity: 5.2 / 10
Beyond Automation: Redefining Healthcare Revenue Cycles through RPA, NLP and Gen AI
Saranya Balaguru
Abstract: Revenue Cycle Management (RCM) is critical in healthcare in providing high-quality care while maintaining financial capability. Few challenges exist in the billing process, regulatory compliance, and accurate medical coding to operate seamlessly. So, the healthcare organization invests more in back-office administrative activities to overcome these challenges. The admin cost includes increasing the human workforce and operational costs. This paper explores how recent technological advancements help reduce administrative costs and increase the opportunity to provide better care. Robotic Process Automation (RPA), Natural Language Processing (NLP) and Generative Artificial Intelligence (Gen AI) technologies should be integrated to automate and streamline revenue cycle management. Automating repetitive tasks using RPA and improving decision-making using Gen AI will streamline billing and coding practices, minimize error rates, and speed up claim submission and payment processes. Leveraging the RPA, NLP and Gen AI integration eliminates human intervention in the end-to-end business process and increases financial benefits by reducing admin costs. This study demonstrates how RPA and Gen AI drive improvements in RCM by improving operational efficiency and ensuring financial compliance, thereby improving the overall health of healthcare organizations financially and operationally.
Keywords: Robotic Process Automation (RPA), Generative Artificial Intelligence (Gen AI), Revenue Cycle Management (RCM), Healthcare Automation, Business Process Automation, Natural Language Processing (NLP)
Edition: Volume 13 Issue 8, August 2024
Pages: 1570 - 1573
DOI: https://www.doi.org/10.21275/SR24826040259
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