Digital Commons Network^™

3. Impact Of Co-Caring Model On Cargivers' Perceptions Of Stress, Burnout, And The Caregiver Experience, Rosemary Timmerman, Cara Gallegos

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Improving Door To Ekg Time In The Emergency Department, Juleene J Mcgowan

Providence Nursing Research Conference 2023 – Present

References:

Yiadom, M. Y., Gong, W., Patterson, B., et al. 2022.

Fallacy of Median Door-to-ECG Time: Hidden Opportunities for STEMI Screening Involvement.

Journal of American Heart Association. Https://doi.org/10.11161/JAHA.121.024067

Yiadom, M. Y., Gong W., Bloos S., et al. 2024.

Shorter Door-to-ECG Time is Associated with Improved Mortality in STEMI Patients.

Journal of Clinical Medicine. 2024, 13, 2650. https://doi.org/10.3390/jcm13092650

Synchronizing Success: Interprofessional Teamwork In Optimizing Throughput Management, Deborah Nimick, Eran Wilkerson

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Resuscitating Rapid Response And Code Blue Education, Danielle Fogel

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Project Comet Verification Testing And Mbse, David Chiaravalle

Student Research Symposium (SRS)

Embry-Riddle’s Project COMET is developing a CubeSat mission to test mmWave communications technology in partnership with the University Nanosatellite Program (UNP). As the design continues to mature, the mission’s growing complexity has introduced challenges in defining and managing technical specifications across multiple subsystems. This Graduate Research Project (GRP) focuses on creating verification test plans at the component, subsystem, and system levels to ensure the spacecraft meets all mission requirements. To better understand and manage interactions between systems, a Model-Based Systems Engineering (MBSE) approach using MBSE software has been applied to provide a digital model representation of the spacecraft. This includes …

Scenarioxp: A Complete Scenario–Based Testing Framework For The Exploration And Exploitation Of Autonomous Vehicle Validation Scenarios, Quentin Goss

Student Research Symposium (SRS)

Today is an age of exiting emerging technology where cutting-edge research in autonomous vehicles (AVs) reduces the active human participation in driving and extends awareness beyond human limitations of perception and reaction, improving driving safety and quality of the user experience as a result. The ever-increasing complexity of these autonomous systems poses many challenges towards the validation and verification (V\&V) of these complex systems under time and resource constraints, as the use of artificial intelligence and also the intricacy of the operating environment means that these systems are also black-box and non-deterministic. Scenario-based V\&V testing of such systems, which involves …

A Data-Driven Framework For Modeling Car-Following Behavior Using Conditional Transfer Entropy And Dynamic Mode Decomposition, Poorendra Ramlall

Student Research Symposium (SRS)

Accurate modeling of car-following behavior is essential for understanding traffic dynamics and enabling predictive control in intelligent transportation systems. This study presents a novel data-driven framework that combines information-theoretic input selection via conditional transfer entropy (CTE) with dynamic mode decomposition with control (DMDc) for identifying and forecasting car-following dynamics. In the first step, CTE is employed to identify the specific vehicles that exert directional influence on a given subject vehicle, thereby systematically determining the relevant control inputs for modeling its behavior. In the second step, DMDc is applied to estimate and predict the dynamics by reconstructing the closed-form expression of …

Best Practices For Electrical Safety At Home, Joshua Henderson, Derek Centrone

Student Research Symposium (SRS)

The household, although it’s a comfortable and relaxing environment, can in fact be riddled with everyday hazards that homeowners and residents overlook or are too complacent in acknowledging or even recognizing their presence. One such common oversight is electrical hazards. This may be due to the high usage of electricity in people’s day-to-day lives, especially since the perceived risk of electrical hazards by the public can be very low. In a household, there are many hazards present each and every day. One such hidden deadly hazard is electricity. While on the surface it doesn’t seem that dangerous, in reality, it …

When The Machine Lets Go: Designing Drug Delivery Devices Patients Can Rely On, Katie Stubits, Liam Brennan

Student Research Symposium (SRS)

Semi-automated drug delivery systems, such as closed-loop insulin pumps, smart infusion devices, and patient-controlled analgesia (PCA) tools, are transforming healthcare by improving dosing precision and empowering patients with greater autonomy. However, their safety and efficacy depend critically on trust calibration—the dynamic alignment between patient trust in automation and actual system reliability (Hoff & Bashir, 2015; Lee & See, 2004). Miscalibrated trust can lead to misuse or disuse, jeopardizing patient safety in high-stakes contexts (Fallon et al., 2010). Grounded in theories of human–automation interaction (Lee & See, 2004) and recent empirical research findings (Zheng et al., 2022), this work conceptualizes trust …

Artificial Intelligence In Aviation: Benefits, Concerns, And Regulations, Aarohi Srivastava

Student Research Symposium (SRS)

As artificial intelligence (AI) becomes increasingly integrated into aviation systems, understanding its implications for safety and regulation is critical. This research examines the current state of AI implementation in aviation, exploring both transformative benefits and significant concerns in this high-stakes environment. AI's strengths, including rapid large-scale data processing, predictive capabilities, and pattern recognition, offer substantial operational advantages. However, these benefits must be balanced against key concerns including liability issues, potential loss of pilot competency through over-reliance, the "black box" problem of AI explainability, emergent system behaviors, and training requirements.  This project analyzes current regulatory frameworks from major aviation authorities including …

Enhancing Aviation Safety: A Framework For Predictive Maintenance Using Generative Data Augmentation And Uncertainty Quantification, Muhammad Najjar

Student Research Symposium (SRS)

Predictive maintenance is a critical component of aviation safety, yet the development of accurate data-driven models is often hindered by the severe class imbalance inherent in real-world flight data; healthy flights are abundant, while flights preceding a failure are rare. This imbalance biases machine learning models, leading to poor detection of critical maintenance needs. This project addresses this challenge by leveraging the NGAFID aviation maintenance dataset to develop and validate an integrated predictive framework. We propose training a Time-series Generative Adversarial Network (TimeGAN) to synthesize high-fidelity, realistic "pre-maintenance" flight data. This synthetic data is used to create a balanced training …

Ergonomics Of A Pilot Workstation And Aircraft Interactions On A Cessna 172 Nav Iii, Nicole Beaulieu

Student Research Symposium (SRS)

This study analyzes the ergonomic aspects of the Cessna 172 Navigator III, a common flight training aircraft. The research investigated the interactions between pilots and the aircraft, focusing on pilot fatigue, workstation design, anthropometric data, and pilot interactions with controls. The study included surveys, interviews, and anthropometric measurements involving three pilots with varying experience levels, alongside physical measurements of the cockpit and a workstation ergonomic assessment.. Participants reported issues with limited physical space, particularly impactful to the pilot’s posture and ability to manipulate controls. Display visibility and interaction were areas of concern, often requiring pilots to lean in awkward postures. …

Terrorism By The Numbers: Event And Structural Determinants Of Attack Outcomes, Claire Lebakken

Student Research Symposium (SRS)

This project aims to identify which event-level and structural covariates are most predictive of terrorism outcomes. Using the Global Terrorism Database (1970–2020), we examine whether fatalities, injuries, attack type, target type, and actor type, combined with national-level conditions, can reliably predict outcomes such as lone actor versus group involvement, attack method, target selection, and property damage. Event-level data are merged with World Bank Development Indicators and Freedom House scores to incorporate economic and governance contexts. After cleaning the data, creating dummy variables, and log-transforming skewed measures (e.g., GDP per capita), we apply logistic and multinomial logistic regression models to test …

Signal Or Noise? Evaluating The Clinical Relevance Of Bpa Overrides In Opioid Harm Reduction Protocols, Aretha Miller, Kailyn Elliot, Cara Gallegos, Emily Stewart

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Integrating Licensed Vocational Nurses (Lvns) Back Into The Acute Care Setting, Mindy Luebs, Amanda Espinosa

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Evaluating The Impact Of A Nurse-Driven Oxygen Titration & Weaning Guidelines On Length Of Stay And Costs Of Care: Qi, Stephanie Zarate

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Using A Patient Reference Guide To Improve Oas Cahps Scores In Endoscopy, Marijoyce Dimatulac

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Reducing Surgical Site Infections Post Cesarean Section Through Multi-Modal Standardized Education, Ari Meyers, Fereshteh Pirayesh, Tracie Tolme

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Critical Care Certification: Developing A Culture Of Excellence, Karis Pickett

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Creating A Culture Change Around Stroke: Integrating Process Improvement To Reduce Door-To-Needle Time, Shayna Brewer, Benedict Pereira, Rose Bisellach, Jason Greenspan

Providence Nursing Research Conference 2023 – Present

No abstract provided.

A Qi: Implementing Pawss And Ciwa Adherence Challenge In The Psychiatric Emergency Department, Bailey Poler

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Enhancing Patient Blood Management: Evaluating Specimen Collection Techniques From Central Venous Access Devices, Mary Jo Sarver, Cheryl Kuehl, Elizabeth Ser

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Evaluating The Impact Of Early Mobilization Education On Nurse Confidence And Length Of Stay In An Intensive Care Unit, Kimberly Melendez, Crystal Solis, Karis Pickett, Lillie Chung

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Culture Clean-Up: Journey To Reduce Blood Culture Contamination Rates Among Emergency Department Nurses, Stefanie Lai, Michelle Elia, Marelin Acicon, Rey Paolo

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Cesarean Births Among Non-Us Born Hispanic Women: A Qualitative Study, Christopher Arzadon, Cecilia Bustamante-Pixa, Wally Mijangos, Linda Presson

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Hospital-Acquired Pressure Injury Prevention Bundle In Icu, Ana Bantug

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Implementation Of Restful Environment Management (Rem) To Improve Patient Sleep Quality And Restful Hospital Environment Experience, Erica Gallenberger, Joanne Javier, Teresa Lipski

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Bee Heard: Buzzing For Better Patient Experience Through Structured Nurse Communication Using Aidet, Jerome Codilla, Juan Guerrero, Sohl Chapman, Nkiru Chukwudi

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Establishing Bedside Report In The Emergency Care Center, Alexandra Rowen

Providence Nursing Research Conference 2023 – Present

No abstract provided.

The Lived Experiences Of Registered Nurses In The Icu In Utilizing A Novel Prophylactic Clear Sacral Gel Dressing, Jason Miranda, Rofelina Madlambayan, Paolo Roca

Providence Nursing Research Conference 2023 – Present

No abstract provided.