Coding and processing in the healthcare industry has remained tediously manual even as technology has progressed in leaps and bounds. Neal Analytics saves hospitals and healthcare enterprises time and increases ICD10 coding accuracy with Azure’s machine learning models. Furthermore, we provide improved reimbursement and payor reporting with Automated Claims submission with ICD10.
- Developed an ensemble of models capable of classification of diagnosis from text
- Integrated models with diagnosis text, clinical history, code set, and historical labelled data allowing coding to be addressed automatically
- Applied text vectorization and augmented feature engineering to translate and process natural language, creating a friendly user interface that requires no training to use
Diagnosis text, clinical history, code set, and historical labeled data.