Medical coding of diagnosis for pathology data is done manually
Accuracy of ICD10 coding process affects payor reimbursement rates
Medical coding staff can be fully utilized in higher-value activities
Using Microsoft Azure services, Neal Analytics developed an ensemble of candidate machine learning models capable of classification of diagnosis from text
Neal Analytics integrated the models with diagnosis text, clinical history, code set, and historical labeled data allowing coding to be addressed automatically
Neal Analytics used text vectorization and augmented feature engineering to translate and process natural language, creating a friendly user interface that requires no training to use
Increased ICD10 coding accuracy from manual
Automated Claims submission with ICD10, resulting in better reimbursement and payor reporting
About Neal Analytics
Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.
With a focus on right-sized and pragmatic approaches towards digital transformation, Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value.