Medical Coding

Medical coding, the process of assigning standardized codes to patient records, is being revolutionized by advancements in natural language processing (NLP) and machine learning. Current research focuses on improving the accuracy and efficiency of automated coding systems using various deep learning architectures, including transformer models like BERT and recurrent neural networks, often incorporating techniques like attention mechanisms and curriculum learning to handle the complexity and high dimensionality of medical terminology. These efforts aim to reduce the time and cost associated with manual coding, improve data interoperability, and facilitate large-scale clinical research and analysis.