Large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). Those data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment. Our data scientists introduce the characteristics and related analytic challenges on dealing with clinical data from electronic health records. Many of those insights come from medical informatics community and data mining/machine learning community.

With proven data visualization principles, methods, and techniques our consultants build wide variety of data visualizations and know what visualizations are appropriate for various types of data to achieve organizational goals. These data visualizations use dynamic interaction methods to help users understand data for appropriate decession making