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(s)
Payman Arabshahi, Associate Professor, UW ECE, Electrical & Computer Engineering
Related News

Thu, 07/17/2025
UW engineering students develop smart ballot solution
UW engineering students develop smart technology solution to improve ballot collection for Snohomish County.

Mon, 07/07/2025 | UW Mechanical Engineering
Capstone creations
Students displayed innovative capstone design projects at the 2025 expo.

Fri, 09/20/2024 | UW Civil & Environmental Engineering
Smarter irrigation for a greener UW
A new project combines satellite data with ground sensors to conserve water and create a more sustainable campus environment.

Mon, 09/09/2024 | UW Mechanical Engineering
Testing an in-home mobility system
Through innovative capstone projects, engineering students worked with community members on an adaptable mobility system.