Pediatric Gas for Anesthesia vs ASRA LAST Usage & Stats

This is an all-in-one pediatric tool. Select the patient's age and it will calculate the weight. You can override the weight with your own selection. Now, you can get weight and age-specific information for your patient: ETT size, depth, fiberoptic selection, LMA size and fluid requirements. You can get weight-specific drug dosing, including cardiac medications. With this one app you will have all the information you need to take care of a newborn, or other small patient. There will no longer be a need to look up multiple formulas and sizing equations. Nothing has been simpler!

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ASRA LAST

The ASRA LAST app facilitates the use of the ASRA Checklist for Treatment of Local Anesthetic Systemic Toxicity during real time patient events or simulation training. Not only do we focus on the dosing and timing of lipid emulsion for a LAST event, but we ensure that providers don’t forget critical ACLS steps as they are integrated into this modified treatment algorithm. This app was built with collaboration from the ASRA Board and Dr. Guy Weinberg, the pioneer and expert in lipid emulsion treatment for local anesthetic toxicity and director of LipidRescue. • The app provides step by step instructions and reminders for key events throughout the algorithm. • Weight based calculations for drug dosing throughout the app. • Cyclically timed reminders for Pulse Recheck, CPR, drug dosing, and more. • Differential pathways for pulseless and pulsatile toxicity events. • Reminders for seizure management. • In-app quick reference links to the published Checklist, ASRA.com, and LipidRescue. We’ve also included the ability to generate a Report of all the timed events during the use of the app. This report can be saved, printed, or emailed as needed by the user. In addition, we’ve added the ability for the user to voluntarily submit their report with additional demographic information to LipidRescue so that Dr. Guy Weinberg can continue to share individual experiences of this rare event with the world in an effort to improve outcomes. **************************** **************************** No Protected Health Information (PHI) or user identifiable information is submitted in the report. **************************** **************************** Project developed at Vanderbilt University Medical Center. Code written by Mustard Seed Software LLC.