At Melax Tech, we have a proven track record of successful collaboration with numerous clients to develop Computer-Assisted Coding (CAC) systems that are based on CLAMP (Clinical Language Annotation, Modeling, and Processing) for ICD-10 and Hierarchical Condition Category (HCC) Codes. Our CAC systems are designed to streamline the coding process, reduce manual workload, and improve reimbursement rates in the healthcare industry. Utilizing both machine learning and rule-based technologies, the CAC system typically comprises Natural Language Processing (NLP) technology components such as named entity recognition, relation extraction, and concept normalization. By utilizing the latest ICD-10 and HCC codes, our CAC system helps to optimize reimbursement rates while minimizing claim denials and appeals.
Request a demo today to learn how Melax Tech's Computer-Assisted Coding (CAC) systems can streamline your healthcare coding procedures, reduce workloads, and increase reimbursement rates. Our advanced CAC systems stay up-to-date with the latest ICD-10 and HCC codes, empowering healthcare providers to optimize reimbursement and minimize claim denials.