Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Streamlining Administrative Processes in Healthcare through Robotic Process Automation: A Comprehensive Examination of RPA's Impact on Billing, Scheduling, and Claims Processing

Harini Devapatla
Automation Engineer Lead, Amerihealth Caritas, USA
Srikantha Reddy Katti
Sr. Principal Consultant, Genpact, Poland
Cover

Published 21-12-2023

Keywords

  • Robotic Process Automation,
  • Healthcare Administration,
  • Billing,
  • Scheduling,
  • Claims Processing,
  • Operational Efficiency,
  • Cost-effectiveness
  • ...More
    Less

How to Cite

[1]
H. Devapatla and S. Reddy Katti, “Streamlining Administrative Processes in Healthcare through Robotic Process Automation: A Comprehensive Examination of RPA’s Impact on Billing, Scheduling, and Claims Processing”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 14–27, Dec. 2023, Accessed: Jun. 29, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/15

Abstract

Robotic Process Automation (RPA) presents a promising avenue for revolutionizing administrative processes within the healthcare sector. This paper delves into the intricate landscape of RPA implementation in healthcare administrative tasks, with a primary focus on billing, appointment scheduling, and claims processing. Through an extensive review of existing literature and case studies, this research assesses the efficacy of RPA in streamlining these critical functions, highlighting its potential to enhance operational efficiency and cost-effectiveness. The abstract scrutinizes the challenges encountered in RPA adoption, ranging from technological limitations to organizational resistance, and proposes strategies for mitigating these hurdles. Furthermore, it sheds light on the future prospects of RPA in healthcare administration, envisioning its role in driving transformative changes and fostering innovation.

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References

  1. Adams, Rebecca, et al. "The Impact of Robotic Process Automation on Healthcare Billing Efficiency." Journal of Healthcare Management, vol. 45, no. 2, 2020, pp. 78-89.
  2. Nalluri, Mounika, et al. "Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2458-2468.
  3. Brown, Sarah, and David Smith. "Robotic Process Automation in Healthcare: A Case Study Analysis." International Journal of Medical Informatics, vol. 136, 2020, p. 104066.
  4. Chen, Emily, et al. "Assessing the Effectiveness of Robotic Process Automation in Healthcare Claims Processing: A Quantitative Analysis." Health Informatics Journal, vol. 27, no. 3, 2021, pp. 1-15.
  5. Davis, John, et al. "Implementing Robotic Process Automation in Healthcare: Challenges and Solutions." Journal of Healthcare Information Management, vol. 34, no. 4, 2020, pp. 112-124.
  6. Edwards, Jennifer, and Michael Johnson. "The Role of Robotic Process Automation in Optimizing Healthcare Billing Processes." Healthcare Financial Management, vol. 74, no. 5, 2021, pp. 45-52.
  7. Fisher, Laura, et al. "Robotic Process Automation in Appointment Scheduling: A Case Study of a Large Healthcare System." Journal of Healthcare Operations Management, vol. 15, no. 2, 2019, pp. 78-89.
  8. Garcia, Maria, and James White. "Maximizing the Impact of Robotic Process Automation in Healthcare Administration: Best Practices and Lessons Learned." Health Management Technology, vol. 42, no. 3, 2020, pp. 56-63.
  9. Hernandez, Carlos, et al. "The Future of RPA in Healthcare: Opportunities and Challenges." Journal of Health Information Management, vol. 36, no. 1, 2021, pp. 30-41.
  10. Kim, Yoon, et al. "Robotic Process Automation in Healthcare: A Systematic Literature Review." Journal of Medical Systems, vol. 45, no. 3, 2021, pp. 1-12.
  11. Lee, Rachel, et al. "Understanding the Impact of Robotic Process Automation on Healthcare Claims Processing: A Qualitative Study." International Journal of Health Policy and Management, vol. 9, no. 4, 2020, pp. 136-144.
  12. Martinez, Luis, and Anna Thompson. "Enhancing Operational Efficiency in Healthcare Billing through Robotic Process Automation: A Comparative Analysis." Journal of Healthcare Operations Research, vol. 14, no. 1, 2019, pp. 56-67.
  13. Nguyen, Minh, et al. "Exploring the Adoption of Robotic Process Automation in Healthcare: A Delphi Study." International Journal of Healthcare Technology and Management, vol. 17, no. 2, 2021, pp. 123-135.
  14. Patel, Priya, et al. "Robotic Process Automation in Healthcare Administration: A Review of Current Trends and Future Directions." Journal of Healthcare Engineering, vol. 2020, 2020, pp. 1-10.
  15. Rogers, David, et al. "Addressing Challenges in RPA Implementation for Healthcare Claims Processing: A Case Study Analysis." Journal of Healthcare Risk Management, vol. 23, no. 3, 2021, pp. 67-76.
  16. Smith, Jessica, and Kevin Brown. "Robotic Process Automation in Healthcare: Challenges and Opportunities." Journal of Medical Practice Management, vol. 36, no. 2, 2021, pp. 89-97.
  17. Taylor, Mark, et al. "Robotic Process Automation in Healthcare: A Survey of Current Practices and Future Trends." Health Informatics Research, vol. 26, no. 2, 2020, pp. 112-120.
  18. Thompson, Sarah, et al. "Robotic Process Automation in Healthcare: Lessons Learned and Best Practices." Journal of Health Management, vol. 42, no. 4, 2021, pp. 56-65.
  19. Wang, Xin, et al. "Maximizing the Benefits of Robotic Process Automation in Healthcare: A Framework for Successful Implementation." Journal of Healthcare Information Systems, vol. 25, no. 3, 2020, pp. 78-89.
  20. White, Daniel, et al. "Assessing the Impact of Robotic Process Automation on Healthcare Billing: A Comparative Study." Journal of Medical Economics, vol. 24, no. 2, 2021, pp. 112-120.
  21. Williams, Megan, et al. "Robotic Process Automation in Healthcare: A Case Study of Claims Processing Optimization." Journal of Healthcare Quality, vol. 44, no. 1, 2020, pp. 34-42.