Artificial Intelligence-Enabled Analytical Framework for Optimizing Medical Billing Processes in Healthcare Applications

Authors

  • Dr. Neelesh Choudhary Author
  • Dr. Megha Verma Author

Keywords:

Artificial Intelligence, Medical Billing, Healthcare, Analytics

Abstract

This article explores how Artificial Intelligence (AI) can completely alter how medical billing systems work worldwide. AI can help medical facilities make payments faster, more accurately, and more profitable as things get harder and fewer resources are available. Artificial intelligence can make the payment process much more manageable, saving healthcare workers time and effort. Therefore, they can concentrate more on giving better care to their patients. Medical records are checked by AI-powered coding accuracy solutions that provide the correct billing codes. This lowers the number of mistakes and rejected claims. AI can improve repayment plans by looking at old data and finding patterns to ensure doctors get the correct payment rates. A bigger problem is medical scams. Therefore, AI systems can examine massive datasets, spot odd trends, and alert authorities to possible scams, which conserves funds. Using AI to bill hospitals has a lot of perks. Problems include data protection, algorithmic bias, muscular systems, and in-depth training. An increasing number of successful cases from healthcare systems worldwide demonstrate the real advantages of AI apps, including fewer mistakes in billing, faster payment processes, and happy patients. Healthcare centers can be more productive, make more money, and give patients a better experience using AI technologies.

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Published

2025-01-30

Issue

Section

Articles

How to Cite

Choudhary, N., & Verma, M. (2025). Artificial Intelligence-Enabled Analytical Framework for Optimizing Medical Billing Processes in Healthcare Applications. Global Journal of Medical Terminology Research and Informatics, 3(1), 1-7. https://terminologyresearch.com/index.php/gjmtri/article/view/GJMTRI25101