Automated IV Alignment System

Authors: Osama Arshad, Anh-thy Nguyen

Advisor: Dr. Alessandro Bellofiore

Intravenous (IV) insertion is the most commonly performed drug infusion procedure on people of all ages. In the US, IV insertion failure rates are estimated at 28% for adults and can range from 47%-70% for pediatric and geriatric patients. IV insertion failure leads to multiple attempts of needle insertion causing discomfort for the patient or potential nerve damage. Technology such as near infrared light makes visualizing the vein for practitioners easier, however, these devices lack the ability to insert an IV. Here we will evaluate the impact of integrating a near infrared imaging system with a robotic arm on successful IV insertions. Our preliminary work shows that with the help of infrared imaging systems, our software is able to locate bifurcations veins. The successful prototype and demonstration of this robotic system may be the starting point of standardizing robotic IV insertions regardless of patient’s physiology and practitioner’s skill.