Artificial Intelligence Meets Medical Coding

FREMONT, CA: Medical billing and coding is an integral component of healthcare. The medical coding outsourcing market alone is projected to reach16.9 billion dollars by 2021. However, coding accuracy is an ongoing challenge. To maximize efficiency and accuracy of the medical coding process, companies are testing the possibilities of Artificial Intelligence (AI) applications. The current problem is coding accuracy, and AI applications are improving the efficiency of the coding process.

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The emerging technology, Computer-Assisted Coding (CAC), which works on Machine Learning and Natural Language Processing (NLP), is all set to transform the medical coding process. The CAC automatically identifies and extracts information from documents. It also analyzes the documentation and automatically recognizes [vendor_logo_first]relevant medical codes. In addition to processing codes and high volumes of data, AI can also reduce the standard work hours and human errors. AI helps providers address gaps in medical coding information. The AI reviews documentation and then guides the provider to adjust the documentation to ensure it accurately reflects the patient’s condition.