Omnipod Insulin Delivery System

An insulin delivery system that simplifies and synthesizes four existing products.


JT Milhoan


Nick Gadbaw

Nic Germann

Inspired by diabetes "a day in the life" videos of children with type one diabetes, I wanted to address the dated, clumsy system that is diabetic insulin delivery management. With help from Nick Gadbaw (built and painted physical model) and Nic Germann (keyshot render), I created a diabetes management system for insulin users unifying continuous glucose monitoring and insulin delivery with easy use management on your phone.

Physical Product
The product combines continuous glucose monitoring and insulin delivery by utilizing a long design separating the sites by three inches (an acceptable distance for accurate reading). This longer design also allows the product to sit closer to the body. I attempted to reduce some cost by making the body and adhesive reusable so you only need to pay for insulin cartridges and replacement needles.    

Phone Application
The UniBand system consolidates the functions of a separate insulin delivery device (like a pdm) and another for collecting and sharing data into one easy access app. The app synthesizes collected cgm data with bolus and basal insulin delivery history and carbohydrate consumption. Sleep and exercise data collected in other apps can be incorporated as well so users can better analyze their blood glucose to improve their personalized diabetes managaement system.

Type 1 Diabetic, Aspen of The Dale Tribe, was the inspiration for this project. After watching her family (via their vlog) go through Aspen's diagnosis to figuring out how to use the many clunky systems out there for managing Type 1 Diabetes I realized this was a system that was in dire need of updating.

The process was heavily research driven through personal testimony, survey response, and a large amount of secondary research. From this research, I identified the target problem space. 

1. Existing management systems often require mulitple products that are large and obtrusive. 2. The interfaces and physical products are clunky with many pieces that could easily be made obsolete. 3. Diabetes managament and existing data synthesis and sharing is difficult so it’s not used very often even though it is very helpful.

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@Bellingham, WA