Virtusa and Cardinal Health simulated a comprehensive dataset comprising electronic health records (EHR) representing more than 30,000 patients. We leveraged vLifeTM, Virtusa’s cloud-based platform, with an extensive HIPAA-compliant data lake with multiple data sources, pre-built APIs, AI, and ML models. It is used to uncover hidden trends that led to new treatment strategies and cures for various illnesses.
UTHealth leveraged this simulated data to train and evaluate ML models to predict treatment outcomes for specific illnesses. About twenty faculty and students from Biostatistics and Data Science department at UTHealth School teamed with various medical and data experts to generate data. Meanwhile, the data provided through Cardinal Health’s proxy patient population simulation required minimum data cleaning and preparation. Once ready, the data was run in an ML application model to generate accurate predictions.
AWS services used: