Ingestible Robotic Capsules
Body-Network Electronic Therapeutics
Quantifying Quality of Life
Academic labs often produce medical device prototypes with novel engineering approaches and make claims of widespread clinical applications; however, in order for a device to succeed in the clinic, it must provide quantifiable clinical outcomes in a cost-effective manner. The field of health decision analysis utilizes patient surveys, economic models, clinical trials outcomes, and technical data to measure the relative costs required to achieve certain health outcomes in patients suffering from a variety of diseases. Using decision tree models, our lab aims to understand the effect of engineering design choices on the potential for clinical acceptance of novel medical devices. Example design choices include drug loading capacity, raw material costs, required assembly steps, among other key metrics. One previous project focused on quantifying the improvement in quality of life when switching from taking an injection to an orally dosed pill.