Quality Improvement Commons^™

Qi On Addressing Bmi In The Outpatient Setting, A Shuravloff, Ryan Bradbury, Matthew Widdison, Teresa Johnson

Continental, MidAmerica, & Mountain Divisions GME Research Day 2024

No abstract provided.

Quality Improvement Project Regarding Concomitant Administration Of Promethazine And Opioids In Hospitalized Patients Chronic Pain, Alexey Minevskiy, Wade Wyckoff, Corey Stone, Romil Patel, Shrikanth Parthasarathy, Denis Parinov

North Florida Division GME Research Day 2024

No abstract provided.

Single Question Survey Vs The Ongoing Violence Assessment Tool For Intimate Partner Violence Screening In The Ed, Zhengqiu Zhou, Donna Carden, Mariel Michaels, Gretchen Nonawzki, Saria Slowey, Maureen Mohan, Robyn Hoelle

North Florida Division GME Research Day 2024

No abstract provided.

Falls Quality Initiative Project, Sean O'Leary, Himat Gill, Steven Tran, Zeeshan Haque, Christopher Burton

North Florida Division GME Research Day 2024

No abstract provided.

Come One, Come All: Carnival Themed Gamification Of Emergency Medicine Board Review, Shayne Gue, Taylor Cesarz, Maria Tassone

North Florida Division GME Research Day 2024

No abstract provided.

Multiple Casualty Simulation Scenario Secondary To Natural Disaster At A Music Festival, Stephanie Cohen, Robert Pell, Casey Mcgillicuddy, Nidhi Sahi, Ariel Vera, Steven Nazario, Andrew Bobbett, Rebecca Beiler, Noe Navarro, Latha Ganti, Shayne M. Gue

North Florida Division GME Research Day 2024

No abstract provided.

Establishing A Protocol For Hospice Compassionate Withdrawal Of Ventilatory Support In The Home Setting, Georganna Rosel, Ana Sanchez, Reuben Smith

South Atlantic Division GME Research Day 2024

No abstract provided.

Introduction To Atls And Emergency Preparedness, Leon Gu, Urvashi Firozi, Pradeep D'Souza

Gulf Coast Division GME Research Symposium 2024

No abstract provided.

Learning Mass Casualty Incident Triage Via Role Play Simulation, Martin Morales-Cruz, Ayanna Walker, Drake Dixon, Latha Ganti, Shayne Gue

North Florida Division GME Research Day 2024

No abstract provided.

Implementation Of Viz.Ai Augmented Intelligence Software To Reduce Door To Puncture Times And Patient Outcomes At A Comprehensive Stroke Center, Cody Bryant, Brandon Womack, Mason Patel, Sanjay Sharma

North Texas GME Research Forum 2024

Introduction: Endovascular therapy (EVT) in the form of mechanical thrombectomy is the mainstay of treatment for acute large vessel occlusion (LVO) ischemic stroke, but its efficacy is highly time sensitive. It is crucial that stroke centers continue to implement process improvements that aim to streamline stroke workflow. Viz.AI is a platform that uses artificial intelligence to automatically detect LVOs with computed tomography (CT) imaging. It provides immediate access to the CT images as well as a platform for centralized communication through the mobile application. We sought to determine if the implementation of Viz.AI at our comprehensive stroke center improved stroke …

Reducing Medication Barriers Before Patient Check-Out At A Student Run Free Clinic, Jenna D. Reisler, Daniel Bao, Alison Zill, Marysuna Wilkerson

Gulf Coast Division GME Research Symposium 2024

No abstract provided.

Wellness In Motion: A Quality Improvement Initiative To Support Resident Mobility And Reduce Falls., San N. Pham

Master's Theses and Capstones

Background: Falls are a significant concern in community living centers for older adult veterans. Promoting physical activity and resident engagement is crucial for reducing fall risk among this population.

Local Problem: A specific microsystem within this setting has a fall rate of 3 falls per month. This discrepancy underscores the need for targeted interventions to effectively address this issue.

Methods: This study measured key metrics related to falls and resident engagement in mobility programs both before and after the implementation of an exercise program within the microsystem.

Intervention: The "GIMME 10" exercise program, grounded in evidence-based practices and emphasizing resident-centric …

Social Determinants Of Health: Evaluation Using Rates Of Vision Screening And Follow-Up Examinations, Madeline Dyer

Williams Honors College, Honors Research Projects

Vision care is essential to the quality of life of young children, impacting them over the course of their lives. Social Determinants of Health (SDOH) affect the likelihood of a child having access to appropriate care specified by the Bright Futures. The aim of this study was to assess the impact of SDOH on the completion of vision screening and the rate of follow-up with an eye care provider when applicable. In addition, rates of instrument-based vision screening and recommended ophthalmology follow-up were compared with COI, a metric assessing the quality of resources available and the conditions that matter for …

Comparative Analysis Of Machine Learning Models For Predicting Healthcare Traffic: Insights For Optimized Emergency Response, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md. Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md Rafid Hasan, Nondon Lal Dey, Md Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Efficient management of healthcare traffic is crucial for ensuring timely access to medical services, particularly in emergency situations where delays can have severe consequences. This study presents a comparative analysis of three widely used machine learning models—Linear Regression, Decision Trees, and Random Forests—aimed at predicting healthcare-related traffic volumes. A large dataset from a metropolitan traffic system was used to train and evaluate the models based on key performance indicators, including Mean Squared Error (MSE), R² Score, and computational efficiency. The results reveal that the Random Forest model offers the best performance, achieving higher predictive accuracy and faster execution times compared …

Victory Out Of Tragedy: Organ Donation, Ali Salim, Bryan A Cotton

Faculty, Staff and Student Publications

Major improvements in trauma care during the last decade have improved survival rates in the severely injured. The unintended consequence is the presentation of patients with non-survivable injuries in a time frame in which intervention is considered and often employed due to prognostic uncertainty. In light of this, discerning survivability in these patients remains increasingly problematic. Evidence-based cut-points of futility can guide early decisions for discontinuing aggressive treatment and use of precious resources in severely injured patients arriving in extremis.

Biomechanical Outcomes Of Distinct Tka Surgical Alignments And Implant Designs, Alexis Kathleen Nelson-Tranum

Theses and Dissertations (ETD)

Introduction. Total knee arthroplasty (TKA) has advanced over the past two decades from traditional post-operative neutral alignment methods with an overall goal of implant longevity to ones that are more personalized to better replicate individual native knee kinematics. Personalizing TKA knee kinematics to better replicate a patient’s native knee kinematics has evolved in response to a reported 20% dissatisfaction by patients with their TKA. These personalization advancements include innovations in surgical alignment techniques include the kinematic alignment (KA) and joint line obliquity (JLO) restoration, in contrast to the mechanical alignment (MA) technique that places everyone into the same mold. Additionally, …

Improving Health Outcomes In Children And Adolescents With Asthma, Elizabeth Kate Coffey Moore

Theses and Dissertations (ETD)

Asthma is among the most prevalent chronic illnesses found in the United States, affecting millions of people under the age of 18 each year. The disease burden for affected children, adolescents, their families, and the healthcare system is immense. Finding ways to mitigate its impact is critical to improving the lives of affected children, adolescents, and their families. The three chapters included in this dissertation aimed to document the asthma triggers that children and adolescents are exposed to and strategies for reducing them and to demonstrate using Imogene King’s conceptual framework to guide nursing practice to care for and nursing …

Real-World Pharmacological Anticoagulation And Clinical Outcomes Of Venous Thromboembolism In Adults With Sickle Cell Disease, Ming Chen

Theses and Dissertations (ETD)

Sickle cell disease (SCD) is an inherited disease characterized by sickle-shaped red blood cells that can slow or block blood flow. It affects about 100,000 people in the United States, and occurs more commonly in people of African descent. SCD is considered as a hypercoagulable state and venous thromboembolism (VTE) is a serious disease-specific complication. However, there have been limited real-world studies on VTE in SCD patients. This work aims to provide a comprehensive assessment of the risk factors and treatment of VTE in adults with SCD by using longitudinal real-world data. First, a retrospective cohort study on 30-day readmission …

The Validity And Reliability Of Ultrasound As A Tool For Assessing Skeletal Muscle Characteristics In The Pediatric Population, Elizabeth Seewer

Theses and Dissertations (ETD)

Annually, around 5 million people in the U.S. are admitted to Intensive Care Units (ICU) due to critical conditions, with pediatric patients comprising 21% of these admissions. Approximately 40% of pediatric ICU (PICU) patients require mechanical ventilation and extended stays, and about 6% result in death. Survivors often face long-term disabilities, including loss of skeletal muscle mass (SMM), a risk factor for morbidity and mortality. Abdominal computed tomography (CT) scans, often performed during PICU admissions, can assess muscle mass but pose risks of increased cost and radiation exposure. While CT and Magnetic Resonance Imaging (MRI) are gold standards for muscle …

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …

Best Practices For Point Of Care Ultrasound: An Interdisciplinary Expert Consensus, Brandon Oto, Robert Baeten, Leon Chen, Puja Dalal, Ria Dancel, Steven Fox, Carl William Lange Iv, Cameron Baston, Paul Bornemann, Siddharth Dugar, Andrew Goldsmith, Meghan Kelly Herbst, James N Kirkpatrick, Abhilash Koratala, Michael J Lanspa, Viveta Lobo, Jason T Nomura, Aliaksei Pustavoitau, Mourad H Senussi, Vincent L Sorrell, Frances Mae West, Aarti Sarwal

Faculty, Staff and Students Publications

Despite the growing use of point of care ultrasound (POCUS) in contemporary medical practice and the existence of clinical guidelines addressing its specific applications, there remains a lack of standardization and agreement on optimal practices for several areas of POCUS use. The Society of Point of Care Ultrasound (SPOCUS) formed a working group in 2022 to establish a set of recommended best practices for POCUS, applicable to clinicians regardless of their training, specialty, resource setting, or scope of practice. Using a three-round modified Delphi process, a multi-disciplinary panel of 22 POCUS experts based in the United States reached consensus on …

Utilizing The Stop-Bang Questionnaire To Assess Risk Of Obstructive Sleep Apnea In Hospitalized Patients With Heart Failure To Facilitate Sleep Medicine Referrals Upon Discharge, Chelsea Mitchell

DNP Projects

Background: Obstructive sleep apnea (OSA) is the most common sleep-breathing disorder. Undiagnosed OSA is highly prevalent in the population, especially in those with heart failure. OSA and heart failure combined create a negative feedback loop that can lead to poor clinical outcomes. Unfortunately, many cardiac patients are never screened for OSA.

Purpose: The purpose of this project is to improve screening rates for OSA via the STOP-Bang questionnaire and establish an efficient and effective process for referrals to sleep medicine for heart failure patients screening high-risk.

Methods: The design was a quality improvement project with pre- and post-testing and a …

Improving Dental Students' Knowledge And Confidence In Treating Tobacco Use, Victoria Pierce

DNP Projects

Background: Tobacco use can lead to numerous chronic health conditions. Healthcare professionals in the dental field are in a unique position to broach this issue with patients. Research shows that dental students do not feel equipped to provide tobacco cessation care, citing lack of education on the subject among their top reasons for this.

Purpose: The purpose of this project was to evaluate changes in dental students’ knowledge and confidence related to treating tobacco use after participation in an educational intervention about the 5A’s, behavioral counseling, and first-line prescription medications.

Methods: This quality improvement initiative utilized a quasi-experimental survey design …

The Impact Of Lung Cancer Screening Education On Knowledge And Screening Rates In A Kentucky Cancer Survivorship Clinic, Alexandra Isler

DNP Projects

Background: Lung cancer is a significant problem in Kentucky, which ranks fourth in the nation in adults who currently smoke. Early detection, through lung cancer screening, can prevent untimely deaths. Several barriers to screening exist including lack of knowledge and awareness among patients regarding lung cancer screening. By increasing knowledge, at risk patients can take the necessary steps to decrease incidence of late stage diagnoses.

Purpose: The purpose of this project was to evaluate patients’ knowledge of lung cancer screening and referral and screening rates before and after one-on-one patient education.

Methods: This was a quality improvement project that used …

Analyzing The Relationship Between Socioeconomic Deprivation And Outpatient Medicare Part D Fluoroquinolone Claim Rates In Texas, Mayar Al Mohajer, Edgar Samarasundera, Judite Gonçalves, Alicia Heath

Faculty, Staff and Students Publications

INTRODUCTION: Only a few studies have assessed the relationship between deprivation and excessive antibiotic use. In Texas, antimicrobial prescription rates are particularly high compared with the rest of the US. This study analyzed the association between local area socioeconomic deprivation and providers' fluoroquinolone claim rates among beneficiaries 65 years and older in Texas.

METHODS: This ecological study utilized provider- and area-level data from Medicare Part D Prescribers and the Social Deprivation Index (SDI) repositories. Negative binomial regression models were employed to evaluate the relationship between provider- and area-level characteristics (prescriber's gender, specialty, rural-urban community area, beneficiaries' demographics, area-level population, and …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Engaging Chief Medical Officers To Improve Multidisciplinary Rounds, Gregory Mccormack, Pranav C. Mehta

HCA Healthcare Journal of Medicine

Background

Multidisciplinary rounds (MDRs), a model of care in which multiple members of the care team, representing different disciplines, come together to discuss the care of a patient in real-time. MDRs are a valuable tool for clinical teams to improve patient length of stay (LOS), reduce healthcare-associated infections, and increase care coordination. HCA Healthcare’s data science and performance improvement teams created a data visualization tool called Next-gen Analytics for Treatment and Efficiency (NATE) Tempo to support care teams in managing rounds and barriers.

Methods

A pilot implementation of MDRs using the NATE Tempo tool was initiated in 10 hospitals, accompanied …

Describing And Predicting Trajectories Of Healthcare Utilization Among Older Adults Presenting To An Emergency Department Using The Interrai Emergency Department Screener, Matthew B. Downer, Kristina Kokorelias, Andrew P. Costa, Don Melady, Samir K. Sinha

Journal of Geriatric Emergency Medicine

Introduction: Although older adults visit emergency departments (EDs) more than any other age group, the trajectories of healthcare utilization older adults experience post-ED are not well described. Further, whether rapid ED assessment tools can predict trajectories and discharge destinations remains unclear.

Methods: Older adults (≥65 years) who presented to an ED at a large Canadian urban academic hospital were recruited (January 2018-April 2019). The interRAI ED Screener (EDS) was completed on presentation. Patients were categorized by EDS risk score (1/2=low, 3/4=moderate, 5/6=high) and had their discharge destinations tracked. Patients admitted to hospital were tracked until their final discharge destination. …

Air-Jet Bioprinting Of Stem Cell-Encapsulated Alginate Micro-Droplets For Organoid Biomanufacturing, Mirabella B. Stump

Electronic Theses and Dissertations

Biomanufactured 3D-organoids show promise for modeling and treating various conditions, particularly insulin-dependent diabetes mellitus (type-1 diabetes). Pancreatic islet organoids serve as sustainable sources of insulin-producing β-cells, potentially restoring insulin regulation in patients and providing a long-term solution for diabetes. Hydrogel droplet printing is an emerging technique in regenerative medicine due to its advantageous tunability and biocompatibility; however, challenges of consistency, quality control, and scalability persist. To address these issues, we developed a novel air-jetting based droplet bioprinting system for the generation of monodispersed alginate micro-droplets. The objective of this project was to incorporate human induced pluripotent stem cells (hiPSCs) into …

Enhancing Diabetic Patient Continuous Glucose Monitoring Access, Colleen Ildefonso

Master's Projects and Capstones

Problem: Diabetic patients utilize treatments that require frequent monitoring and medication changes based on their blood sugar results. Continuous Glucose Monitoring (CGM) is more commonly used for diabetes management as time in range is becoming more prevalent to measure diabetes outcomes. Many diabetic patients find CGM use more accessible than finger sticks and glucometers. In contrast, others utilize the technology to closely monitor their blood sugars for interventions throughout the day. However, older adults have difficulty facilitating new CGM technology and may require further reinforcement using additional education methods such as teach-back.

Context: The endocrinology clinic serves a patient population, …