To be considered for any of the awards listed, you must be the corresponding author for the abstract submission and the presenter of the abstract at the Research Forum.
The Emergency Medicine Foundation will present an award to the outstanding established researcher and a special award to an outstanding young investigator.
- The annual Excellence in Research Award (Best Abstract) will be presented to an investigator based on the abstract, presentation, discussion, and subsequent research manuscript.
- The annual Early Career Best Abstract Award will also be chosen. Investigators at the assistant professor level or below with fewer than five years of faculty appointment may request that their abstracts be considered for review in this category.
The ACEP Research Committee will also present awards for best medical student abstract and best resident abstract.
- The Best Medical Student Abstract Award will be given to a medical student who is the primary investigator of an outstanding abstract.
- The Best Resident Abstract Award will be given to a resident who is the primary investigator of an outstanding abstract.
All four awards will be presented at the annual ACEP Research Forum.
2023 ACEP Outstanding Contribution in Research Award Recipient
Lewis S. Nelson, MD, MBA, FACEP
ACEP Research Award Winners
2023 Best Overall Abstract - Tie
James H. Paxton, MD, MBA
Results from the "hEad Pulse for Ischemic StrOke DEtection Prehospital Study During the COVID-19 Pandemic" (EPISODE-PS-COVID)
2023 Best Overall Abstract - Tie
Jirat Tosibphanom, MD
Comparison of Arterial Oxygen Levels of Mechanical ventilators versus Bag-Valve Ventilation During Cardiopulmonary Resuscitation: A Randomized Trial (CPR-VENT trial)
2023 Best Early Career Abstract
Ming-Shun Hsieh, MD, PhD
Impact of Time to Antibiotic Therapy on Clinical Outcomes in Patients with Sepsis in the Emergency Department
2023 Best Resident Abstract
John Forrester, DO
Venous Excess Ultrasound Grading System (VExUS) as a Predictor of Early Adverse Outcomes in Emergency Department Patients Presenting with Sepsis
2023 Best Medical Student Abstract
Michael Makutonin, BS
A Machine Learning Approach to Predicting Boarding and Admission Surges using Triage Information
