Perspectives

Population-level Prediction for Type 2 Diabetes Simulated EMR Data

Indiana Bioscience Research Institute, Cardinal Health, and Virtusa
White paper

Population-level Prediction for Type 2 Diabetes Simulated EMR Data whitepaperLife sciences companies operate in one of the most strictly regulated industries and as such are pioneers in adopting new technologies. Real-world data plays a crucial role in the success of these technologies, however high quality data is either scarce, expensive, or restricted. The sheer volume and the complexity in ensuring that data is ethical and regulatory compliant for use in prediction models has been a major impediment for innovation.

The Indiana Bioscience Research Institute (IBRI), the Cardinal Health Fuse Innovation Center, and Virtusa formed a collaborative project in the fall of 2018 to address the woes in using real-world data. This paper discusses the synthesis of high-fidelity population-level electronic medical record (EMR) data using Proxi™ (a simulated population-level data generator) on vLife™ (Virtusa’s open innovation platform) to create prediction models around Type 2 Diabetes as defined by researchers in IBRI.

Download the white paper to learn more.

Please fill out this form to download

    Yes, I want Virtusa to keep me up-to-date with recent industry developments including insights, upcoming events, and innovative solution capabilities according to the privacy policy
  • This field is for validation purposes and should be left unchanged.