We present a personalized medicine suite of software applications developed at UCSF for multiple sclerosis (MS): the MS Bioscreen. This new tool addresses the challenges of the dynamic management of complex chronic diseases such as MS; the interaction of physicians and patients with such a tool illustrates the extent to which translational digital medicine i.e. the application of information technology to medicinehas the potential to radically transform medical practice. It integrates clinical data including MRI brain imaging and research data with immunological and genetic biomarkers such as SNPs associated with MS risk and HLA-DRB1*15:01 status. With the development of the MS Bioscreen we introduce three key evolutionary phases in displaying the data to health care providers, patients, and researchers: visualization (accessing data), contextualization (understanding the data), and actionable interpretation (real-time use of the data to support decision-making). Together these features form the stepping-stones that are expected to accelerate standardization of data across platforms, promote evidence-based medicine, and lead to improved patient outcomes.