Compare ClinionAI Medical Coding vs. HCC Coding Engine

Fully automated, AI-enabled Medical Coding software to aid your team work faster & smarter. ClinionAI uses Deep Learning NLP models for the automated coding of adverse events and concomitant medication. The AI Medical Coding algorithm was trained using millions of biomedical terms to aid in medical context learning using machine-learning models. The model embeds MedDRA dictionaries. Clinion EDC adverse event terms are matched by the ML Algorithm with MedDRA dictionary terms. Results with associated confidence scores are displayed. The best fit can be chosen by users!

Aptarro's HCC Coding Engine is a cutting-edge AI solution that works in harmony with electronic medical records and practice management systems, enabling real-time scanning of every patient interaction to automatically identify and rectify coding discrepancies, ensuring that all Hierarchical Condition Category (HCC) diagnoses are correctly recorded for effective risk adjustment and revenue optimization. Utilizing established industry rules and advanced machine learning algorithms, the engine highlights high-priority encounters for coder assessment, significantly enhancing coder productivity by as much as 300% without increasing the workload for providers, while simultaneously minimizing denials through instant validation and compliance enhancements. The system features exception-based workflows, user-friendly dashboards that track RAF score trends, integrated audit trails, and logging capabilities, and offers rapid deployment within current processes, allowing organizations to experience immediate returns on investment during their initial billing cycle and recover millions in overlooked revenue, all while upholding clinical focus and ensuring the integrity of documentation. This innovative approach not only streamlines the coding process but also empowers healthcare organizations to maximize their financial performance without compromising patient care.