Computer-Assisted Coding (CAC)

Melax has worked with multiple clients to develop CLAMP-based CAC systems for both ICD-10 and Hierarchical Condition Category (HCC) Codes to improve reimbursement rate and reduce the manual coding workload. A CAC system typically consists of NLP technology components such as named entity recognition, relation extraction, concept normalization and utilizes both machine learning and rule-based technologies. CAC based on the most recent ICD-10 and HCC codes improves reimbursement rate, and decreases claim denials and appeals.