Diagnostic Code

Diagnostic coding, the process of assigning standardized codes (like ICD codes) to patient diagnoses and procedures, is crucial for healthcare data management and analysis. Current research focuses on improving the accuracy and completeness of coding, particularly addressing under-coding of conditions like opioid use disorder, and leveraging machine learning techniques, including neural networks (e.g., recurrent and adversarial autoencoders) and random forests, to automate the process and identify complex disease patterns from unstructured clinical notes. These advancements aim to enhance the efficiency and reliability of healthcare data, facilitating better research, improved patient care, and more accurate reimbursement processes.