Melax Tech has worked with multiple clients to develop CLAMP-based CAC systems for ICD-10 and Hierarchical Condition Category (HCC) Codes to improve reimbursement rates 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.
Based on the most recent ICD-10 and HCC codes, CAC improves reimbursement rates, and decreases claim denials and appeals.
