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Load-a-Dose: An Automated Insulin Loading Device

Submitted by soyoungk on

The proper administration of insulin is imperative for the nearly 422 million adults worldwide that are affected by diabetes. Older populations of diabetes patients are twice as likely to suffer from vision impairment compared to younger patients, and are also more susceptible to dexterity challenges. To address the needs of diabetes patients with limited vision and/or dexterity, Load-a-Dose features an automated insulin loading mechanism, with audio and visual feedback.

Student team
Beemnet Workeneh
Elaine Vu-Phan
Hyun-Ji (Erika) Lee
Kalle Chastain
Karley Benoff
Mentoring team
Kelly McGrath, MD (Family Medicine)
Matt Davies, MS, PhD (Endocrinology)
Eric Seibel, PhD (Mechanical Engineering)
Year
Continuing project
No