AI-powered Medical Coding: Improving Accuracy and Efficiency in Health Data Classification

Authors

  • Dr. Aditi Sharma Author
  • Dr. Rajesh Iyer Author

Keywords:

Medical Coding, Artificial Intelligence, NLP, Deep Learning, Health Informatics, ICD-10, Automation, Clinical Documentation.

Abstract

This in an attempt to enhance the effectiveness of health data classification, the role of Artificial
Intelligence (AI) in automating medical coding processes will be explored in this paper. We built an AI
model which utilizes NLP and deep learning for ICD-10 code assignment of clinical documentation.
Evaluation results showed notable increases in coding accuracy as well as processing speed. The reduction
of manual coding errors and operational expenses, as well as the modernization of healthcare information
systems through AI's impact on revenue cycle acceleration, reinforces the value of AI in mas turning
healthcare information systems.

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Published

2023-12-29

Issue

Vol. 1 No. 1: (Oct-Dec) 2023

Section

Articles

How to Cite

Sharma, A., & Iyer, R. (2023). AI-powered Medical Coding: Improving Accuracy and Efficiency in Health Data Classification. Global Journal of Medical Terminology Research and Informatics, 1(1), 1-4. https://terminologyresearch.com/index.php/gjmtri/article/view/GJMTRI23101