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

Article ID

107VD

AI in Medical Billing.

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

Victor Kilanko
Victor Kilanko Claremont Graduate University
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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

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

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

Victor Kilanko
Victor Kilanko Claremont Graduate University

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Victor Kilanko. 2026. “. Global Journal of Medical Research – K: Interdisciplinary GJMR-K Volume 23 (GJMR Volume 23 Issue K4): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-K Classification: ACM I.2.6
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The Transformative Potential of Artificial Intelligence in Medical Billing: A Global Perspective

Victor Kilanko
Victor Kilanko Claremont Graduate University

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