New AI approach exceeds performance of traditional models for automatic coding of medical notes
A new study by AKASA finds that its Read, Attend and Code machine learning model exceeds the performance of current state-of-the-art models for automatic coding of inpatient clinical notes. The technology surpasses human coders in terms of both efficiency and accuracy.