Team 13

Automated ACLS Drug Administration

Team Members: Mikayla Gerdes, Emily Glagolev, Kaitlyn Nielsen & Sarah Nystrom

Team Mentors: Apollo Arquiza, PhD - SBHSE
Nicholas Tan - Creighton University School of Medicine

YouTube Link: View the video link below before joining the zoom meeting

Zoom Link: https://asu.zoom.us/j/82807709042

Abstract

There is a specific algorithm for Advanced Cardiovascular Life Support that states that drug therapy should be administered promptly after two failed attempts of resuscitation by shock defibrillation. We are exploring a way to automate this drug administration in order to reduce the likelihood of human error in delivering these drugs, which in turn would increase the survival rate of patients who go into cardiac arrest. Every 1% increase in survival rate results in $4.5 billion of savings in the economy, resulting in large economic impacts for individual patients and the economy as a whole. Furthermore, the Advanced Cardiovascular Life Support Devices market has an estimated CAGR growth of 7.0%, which makes us confident in our ability to be successful in this market. In order to properly address this problem, our device must automate the drug delivery in the correct algorithm, modulate the rate at which the drug is administered through an IV, keep an administration record log, and be overall reliable and accurate. In order to meet these needs, we have determined that our specifications must include flow rate and pressure of drugs administered, size of IV insertion point, time taken for administration, and compatibility to other medical devices. Our preliminary concept includes an Arduino that will process the ECG signal from the patient and power a linear actuator to push each drug from the syringes into the peripheral IV line of the patient. By our estimations, the device will cost approximately $500 to produce, with a market price of $4,000.