Improving Medical Coding Efficiency with Multimodal Machine Learning
Medical coding is a critical process in healthcare facilities that involves converting clinical documentation into standardized medical codes for various purposes, such as insurance reimbursement and performance analysis. With the increasing demand for accurate and efficient medical coding, several solutions based on artificial intelligence have been proposed to assist in the process.
However, their effectiveness is still limited, and there is a need for more innovative approaches. In this context, a recent study has developed a multimodal machine learning-based solution to detect the degree of coding complexity before coding is performed. This article will discuss the study's objectives, methods, results, and conclusions, highlighting the potential of the proposed approach to improve coding efficiency and accuracy at scale.
Read full article here: