Novo Nordisk
Data Insights Application for Obesity
Comorbidity risk is an ever-present concern for patients with obesity. This student team worked to create a data insight application that provides a quantitative view into the comorbidity risk present in a patient with obesity through the modification of weight, social determinants of health (SDoH), and associated risk factors. The data model built aimed to support the application utilizes clinical, commercial, and SDoH data to understand the correlations between obesity, related comorbidities, and SDoH. The vision for the application was to provide internal Novo Nordisk (NNI) stakeholders quantitative insights into risks faced by patients to better educate clinicians about the risks and costs associated with obesity. This student team worked towards defining, designing, and developing the application for the obesity tool. Anticipated outcomes this student team worked toward include: • Working prototype, end-user platform for our obesity tool • Solution is accessible from desktop, tablet, and smartphone • Name and branding for tool • Reporting/visualization output designs
Faculty Adviser
Payman Arabshahi,
Associate Professor, UW ECE,
Electrical & Computer Engineering
Students
Esh Sathiyamoorthy
Garrett Leung
Michael Giovanni
Richard Tran
Tong Wang