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/6347346096

Abstract

The specific algorithm used for Advanced Cardiovascular Life Support (ACLS) 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 to reduce the likelihood of human error, which in turn would increase the survival rate of patients going into cardiac arrest. Every 1% increase in survival rate results in $4.5 billion of savings, resulting in large economic impacts for individual patients and the cardiovascular life support industry. Furthermore, the ACLS device 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 have a fail-safe alert to ensure safety and reliability. 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 device includes an Arduino that will control linear actuator movements to dispense each drug from the syringes into the peripheral IV line of the patient. An LCD display will also be used to indicate which drugs are being administered. By our estimations, the device will cost approximately $270 to produce, with a market price of $1,000.