The Transformative Potential of Artificial Intelligence in Medical Billing: A Global Perspective

Authors

  • Victor Kilanko

Keywords:

artificial intelligence, AI, medical billing, claims processing, coding accuracy, reimbursement optimization, fraud detection

Abstract

This paper explores the transformative potential of Artificial Intelligence AI in revolutionizing medical billing processes worldwide As healthcare systems face increasing complexities and challenges AI offers innovative solutions to streamline billing operations enhance accuracy and improve financial outcomes By automating the claims processing workflow AI can significantly reduce the administrative burden on healthcare providers allowing them to focus more on patient care AI-powered coding accuracy systems can analyze medical records and suggest appropriate billing codes reducing coding errors and claim rejections AI can also optimize reimbursement strategies by analyzing historical data and identifying patterns to ensure optimal reimbursement rates for healthcare providers To address the growing concern of healthcare fraud AI algorithms can analyze vast amounts of data detect suspicious patterns and flag potentially fraudulent activities thus preventing financial losses Moreover AI-powered chatbots and virtual assistants can enhance patient engagement by providing personalized support answering billing-related queries and guiding patients through the payment process Adoption of AI in medical billing brings various benefits it also presents challenges such as data privacy algorithm bias and the need for robust infrastructure and training

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How to Cite

Victor Kilanko. (2023). The Transformative Potential of Artificial Intelligence in Medical Billing: A Global Perspective. Global Journal of Medical Research, 23(K4), 5–15. Retrieved from https://medicalresearchjournal.org/index.php/GJMR/article/view/102395

The Transformative Potential of Artificial Intelligence in Medical Billing: A Global  Perspective

Published

2023-06-28