Emergency Medicine Commons^™

Stones Cause Pediatric Moans Too: A Case Of Ureterolithiasis With Classic Sonographic Artifacts, Samantha Stoner, Courtney Mariner, Russ Richardson, Casey Wilson

South Atlantic Division GME Research Day 2023

No abstract provided.

Using Ultrasound To Assist Neonatal Lumbar Puncture: A How To Guide, Samantha Stoner, Tram-Anh Huynh, Casey Wilson

South Atlantic Division GME Research Day 2023

No abstract provided.

Stone-Containing Meckel’S Diverticulitis As A Mimic Of Acute Appendicitis, Justin Denny, David Pardue

South Atlantic Division GME Research Day 2023

No abstract provided.

Illicit Drug Use Patterns In Myrtle Beach, S.C. From 2017-2022, Michelle Fowler, Mark Plexousakis, Meg Riley, Blaine Rourke, Erin Artigiani, Amy Billing, Margaret Hsu, Ebonie Massey, Eric Wish

South Atlantic Division GME Research Day 2023

No abstract provided.

Sonographic Measurements Of Inferior Vena Cava Collapsibility In Recreational Divers, David Pardue, Brandon Bowers, Scott Chewning, Casey Wilson

South Atlantic Division GME Research Day 2023

No abstract provided.

Effect Of Implementation Of Enhanced Management Processes For Behavioral Health Patients On Staff In The Urban Emergency Department, Michael Hasty, Scott Anderson, Rahul Kashyap, Sue Lynn Myhre

TriStar Division Research Day 2023

No abstract provided.

Time Is Brain: Improving Door To Iv Tpa Time In Emergency Department, Habiba Khan, Dallin Ollerton, George Matus, Ramesh Komaragiri

Central & West Texas GME Research Day 2023

No abstract provided.

Readiness For Transfer: A Mixed-Methods Study On Icu Transfers Of Care, Soo-Hoon Lee, Clarice Wee, Phillip Phan, Yanika Kowitlawakul, Chee-Kiat Tan, Amartya Mukhopadhyay

Management Faculty Publications

Objective Past studies on intensive care unit (ICU) patient transfers compare the efficacy of using standardised checklists against unstructured communications. Less studied are the experiences of clinicians in enacting bidirectional (send/receive) transfers. This study reports on the differences in protocols and data elements between receiving and sending transfers in the ICU, and the elements constituting readiness for transfer.

Methods Mixed-methods study of a 574-bed general hospital in Singapore with a 74-bed ICU for surgical and medical patients. Six focus group discussions (FGDs) with 34 clinicians comprising 15 residents and 19 nurses, followed by a structured questionnaire survey of 140 clinicians …

Raptir: Retroclavicular Approach To The Infraclavicular Region, Casey Wilson, Jacob Pope, David Pardue, Thomas Thornton

South Atlantic Division GME Research Day 2023

No abstract provided.

Care Alert Program In Chronic Recurrent Ed Utilizing Patients: Expanded Study, Jonathan Leggett, Kaitlyn Phelps, Erica Gibbons, Jonathan Bryan, Brent Wright, Daniel Nunez, Brian Griggs

South Atlantic Division GME Research Day 2023

No abstract provided.

Cranial Nerve Palsy After Vaginal Delivery With Epidural Anesthesia, A Case Report, Jennifer Olivarez, Caylyne Arnold, Scott Gutovitz

South Atlantic Division GME Research Day 2023

No abstract provided.

Descriptive Assessment Of The Pediatric Emergency Team System: The Memorial Health University Medical Center Experience, Ashley Cheek, Lauren Hebert, Sunil Keshwah, Jessica Lee

South Atlantic Division GME Research Day 2023

No abstract provided.

Community Socioeconomic And Urban-Rural Differences In Emergency Medical Services Times For Suspected Stroke In North Carolina, Srihari V Chari, Eric R Cui, Haylie E Fehl, Antonio R Fernandez, Jane H Brice, Mehul D Patel

Faculty, Staff and Student Publications

OBJECTIVE: Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality.

METHODS: This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based …

Public Health Interventions Guided By Houston’S Wastewater Surveillance Program During The Covid-19 Pandemic, Loren Hopkins, Katherine B Ensor, Lauren Stadler, Catherine D Johnson, Rebecca Schneider, Kaavya Domakonda, James J Mccarthy, Edward J Septimus, David Persse, Stephen L Williams

Faculty, Staff and Student Publications

Since the start of the COVID-19 pandemic, wastewater surveillance has emerged as a powerful tool used by public health authorities to track SARS-CoV-2 infections in communities. In May 2020, the Houston Health Department began working with a coalition of municipal and academic partners to develop a wastewater monitoring and reporting system for the city of Houston, Texas. Data collected from the system are integrated with other COVID-19 surveillance data and communicated through different channels to local authorities and the general public. This information is used to shape policies and inform actions to mitigate and prevent the spread of COVID-19 at …

Multi-Task Learning For Post-Transplant Cause Of Death Analysis: A Case Study On Liver Transplant, Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R Hoot, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for clinical decision making, including personalized treatment and organ allocation. However, traditional methods like Model for End-stage Liver Disease (MELD) score and conventional machine learning (ML) methods are limited in CoD analysis due to two major data and model-related challenges. To address this, we propose a novel framework called CoD-MTL leveraging multi-task learning to model the semantic relationships between various CoD prediction tasks jointly. Specifically, we develop a novel tree distillation …

Exploring Factors Contributing To Compassion Fatigue In Emergency Departments And Possible Interventions, Neggin Assadi

Capstone Showcase

The ED is a fast paced, busy, and unpredictable environment. Increased exposures to death, suffering, and trauma can make the ED a stressful environment and makes providers more susceptible to a phenomenon called compassion fatigue (CF), a diminished ability to feel compassion towards those they are tasked to care for. Three main contributors to CF in the ED are a poor workplace environment, workplace aggression/violence, and traumatic events. Exploring what contributes to these stressors and proposing ways to reduce them can help ED providers combat CF.

Machine Learning-Based Prediction Of Acute Mortality In Emergency Department Patients Using Twelve-Lead Electrocardiogram, Po-Cheng Chang, Zhi-Yong Liu, Yu-Chang Huang, Yu-Chun Hsu, Jung-Sheng Chen, Ching-Heng Lin, Richard Tsai, Chung-Chuan Chou, Ming-Shien Wen, Hung-Ta Wo, Wen-Chen Lee, Hao-Tien Liu, Chun-Chieh Wang, Chang-Fu Kuo

Faculty, Staff and Student Publications

BACKGROUND: The risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying patients at high risk can help improve medical care. This study aimed to create a machine-learning model that utilizes the standard 12-lead ECG to forecast acute mortality risk in ED patients.

METHODS: The database included patients who visited the EDs and underwent standard 12-lead ECG between October 2007 and December 2017. A convolutional neural network (CNN) ECG model was developed to classify survival and mortality using 12-lead ECG tracings acquired from 345,593 ED patients. For machine learning model development, the patients were …

Meta-Analysis Of Chest Compression-Only Versus Conventional Cardiopulmonary Resuscitation By Bystanders For Adult With Out-Of-Hospital Cardiac Arrest, Karol Bielski, Jacek Smereka, Jaroslaw Chmielewski, Michal Pruc, Francesco Chirico, Aleksandra Gasecka, Nataliia Litvinova, Milosz J Jaguszewski, Grazyna Nowak-Starz, Zubaid Rafique, Frank W Peacock, Lukasz Szarpak

Faculty, Staff and Students Publications

BACKGROUND: According to the guidelines of cardiopulmonary resuscitation (CPR) conducted by bystanders, two methods of CPR are feasible: standard CPR (sCPR) with mouth-to-mouth ventilations and continuous chest compression-only CPR (CCC) without rescue breathing. The goal herein, was to evaluate the effect of sCPR (30:2) and CCC on resuscitation outcomes in patients with out-of-hospital cardiac arrest (OHCA) patients.

METHODS: This study was a systematic review and meta-analysis. Using standardized criteria, Pub- Med, Web of Science, Scopus, EMBASE and Cochrane Collaboration were searched for trials assessing the effect of sCPR vs. CCC on resuscitation outcomes after adult OHCA. Random-effects model meta-analysis was …

Modified Early Warning Scoring (Mews) Versus Epic Deterioration Index (Edi): Battle Royale For Which Has The Best Patient Outcomes In The Inpatient Setting, Dirk A. Church

DNP Projects

Abstract

Background: The increased workload bedside nurses face today requires new tools to assist with the identification of deteriorating patients during hospitalization. The Modified Early Warning Score (MEWS) tool has formed the background of early warning tools. Newer, more complex tools, like Epic’s Deterioration Index (EDI), have been developed to identify patient deterioration earlier. There is lack of evidence in the literature comparing different early warning tools, implementation, and patient outcomes.

Objective: The purpose of the study was to examine models for EWS notification for RRT and patient outcomes between the use of the MEWS and EDI in an adult, …

Enabling Human Space Exploration Missions Through Progressively Earth Independent Medical Operations (Eimo), Dana R Levin, Jon Steller, Arian Anderson, Jay Lemery, Benjamin Easter, David C Hilmers, Kris R Lehnhardt

Faculty, Staff and Students Publications

Goal: Current Space Medicine operations depend on terrestrial support to manage medical events. As astronauts travel to destinations such as the Moon, Mars, and beyond, distance will substantially limit this support and require increasing medical autonomy from the crew. This paper defines Earth Independent Medical Operations (EIMO) and identifies key elements of a conceptual EIMO system. Methods: The NASA Human Research Program Exploration Medical Capability Element held a 2-day conference at Johnson Space Center in Houston, TX with NASA experts representing all aspects of Space Medicine. Results: EIMO will be a process enabling progressively resilient deep space exploration systems and …