2022-23 MEDLaunch Cohort

EpiBand

Team Lead: Ether Dharmesh

EpiBand is seeking to address the limitations of current epinephrine auto-injector device to improve anaphylaxis treatment. Our goal is to create a wearable and fully automatic epinephrine auto-injector that eliminates the need for manual injection. This solution will consist of two devices - a wristband sensor that measures indicators of anaphylaxis and a compact auto-injector worn around the thigh that uses microneedle technology to minimize pain. Our mission is to allow people at risk for anaphylaxis to live without the fear of depending on someone else to save their lives.

PI Focal

Team Leads: Siva Krothapalli & Yuktesh Kalidindi

The goal of our app is to integrate multiple functions that are needed for peer instruction and make it more seamless. The current method of using multiple separate platforms is more asynchronous than our proposed solution. Furthermore, the app is used to facilitate peer instruction which is a specific type of lecture used instead of less interactive didactic lectures. We can eventually create platforms for other types of lectures such as team-based learning.

Physician Burnout

Team Lead: Ryan Patel

We are creating an AI-Assisted Medical Coding Tool that can preemptively suggest the most appropriate CPT code and associated decision-making and diagnostic keywords and that should be included in physician notes based on the provider specialty, patient diagnosis (via ICD code), and treatment plan (via orders placed). This tool will not only decrease the number of corrections that physicians must make to previously-signed notes, but also maximize reimbursement opportunities and circumvent prior authorization requests by helping physicians get it right the first time.

Improving Patient Hand Dexterity for Playing the Piano

Team Lead: Aaron Swenson

The idea for the project came from the thought that if I were to lose some or all of my hand/arm function from a stroke or other sort of accident, how would I still be able to play piano? Many people have accidents like strokes or amputations that make it nearly impossible to continue or begin a hobby like piano, a past time that might mean the world to them. The goal of this project is to come up with a device that returns the hand ability required to play piano to someone who has lost it.

EnGauge

Team Leads: Ryan Mueller & Abby Kieffer

We are designing a biomechanical analysis tool for physical therapists to use on patients in a clinical setting. A drifit sleeve embedded with motion capture sensors will help a computer program track key movement points in the knee of PT patients. A computer program will analyze the data in a code to produce graphical analysis of the patient's range of motion in their knee. Our model is designed specifically for knee injury patients.