Health Information Technology Commons^™

Enhancing Interprofessional Staff Competence In Culturally Sensitive Patient Education: A Web-Based Health Literacy Toolkit For Brazilian Immigrants In Florida, Faila Reis Pereira Dos Santos

Student Scholarly Projects

Practice Problem: Brazilian immigrants in Florida face cultural and language barriers that hinder their ability to understand and engage with healthcare services. Additionally, healthcare providers often lack the cultural competency needed to deliver effective patient education, contributing to poor health literacy within this population.

PICOT: The PICOT question that guided this project was: For healthcare interprofessional staff supporting Brazilian immigrants in Florida (P), how does the development of a web-based health literacy toolkit (I), compared to standard educational methods (C), influence their competency in delivering culturally sensitive patient education (O)?

Evidence: Research demonstrates that culturally tailored health literacy interventions improve …

The Present And Future Of Robotic Surgery In Breast Cancer And Breast Reconstruction, Brett Allen, Alexis Knutson, Noama Iftekhar, Casey Giles, Jarrell Patterson, Joshua Macdavid, Richard Baynosa

Department of Plastic Surgery Faculty Research

Background: Breast cancer is the second most common cancer in women with an improving mortality rate and a growing need for reconstruction following oncologic resection. Advancements in robotic surgery and minimally invasive techniques have offered refinement to traditional open techniques of flap harvest for reconstruction, particularly regarding improved donor site morbidity. Methods: The literature review was based on a PubMed database search using the keyword “Robotic breast reconstruction” in conjunction with the Boolean operators “Flap”, “Latissimus”, and “DIEP” to specify the search. In total, 106 results were generated, which were then manually reviewed and condensed for a comprehensive stance on …

A Brief Commentary On Human-Ai Attachment And Possible Impacts On Family Dynamics, Brandon T. Mcdaniel Phd, Amanda Coupe, Allison Weston, Jessica A. Pater

Health Services and Informatics Research

Objective: In this brief commentary article, we outline an emerging idea that it may be possible that as Conversational Artificial Intelligence (CAI) becomes a part of an individual’s environment and interacts with them their attachment system may become activated, potentially leading to behaviors—such as seeking out the CAI to feel safe in times of stress—that have typically been reserved for human-to-human attachment relationships. We term this attachmentlike behavior, but future work must determine if these behaviors are driven by a Human-AI attachment or something else entirely. Background: CAI is an emerging technical advancement that is the cornerstone of many everyday …

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

Using Ehr Reminders To Control Hypertension, Umme Kulsoom Ghous, Logan Mcculley, Danielle C. Hall, Linda Katherine Lambert, Laura Reed Dnp, Aprn, Fnp-Bc, Cne

Doctor of Nursing Practice Projects

Purpose/Background

Hypertension is a significant risk factor for cardiovascular and kidney diseases but is often under-diagnosed and poorly managed. Electronic Health Records (EHR) can help by providing automated reminders to recheck elevated blood pressure (BP) readings, ensuring accurate measurements, and guiding clinical interventions. This study aims to determine if EHR-based reminders improve BP control in adult patients aged 21 and older, focusing on hypertension diagnosis accuracy and timely management.

Methods

After a literature review, the study took place in a primary care clinic and only included patients with an existing diagnosis of hypertension. Thirty patients were included in the study. …

A Deep Sparse Capsule Network For Non-Invasive Blood Glucose Level Estimation Using A Ppg Sensor, Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Emad Muteb Alharbi, Hibah Qasem Salman Alatawi, Kousalya Prabahar, Jawhara Bader Aljabri, Anand Paul

School of Public Health Faculty Publications

Diabetes, a chronic medical condition, affects millions of people worldwide and requires consistent monitoring of blood glucose levels (BGLs). Traditional invasive methods for BGL monitoring can be challenging and painful for patients. This study introduces a non-invasive, deep learning (DL)-based approach to estimate BGL using photoplethysmography (PPG) signals. Specifically, a Deep Sparse Capsule Network (DSCNet) model is proposed to provide accurate and robust BGL monitoring. The proposed model’s workflow includes data collection, preprocessing, feature extraction, and predictions. A hardware module was designed using a PPG sensor and Raspberry Pi to collect patient data. In preprocessing, a Savitzky–Golay filter and moving …

Development Of A Personal Health Recommendation System Based On Data And Machine Learning To Improve User Wellbeing, Eliyah Acantha Manapa Sampetoding, Andi Alisha Faiqihah, Yulita Sirinti Pongtambing

Jurnal Administrasi Bisnis Terapan

The development of personal health recommendation systems has become a significant focus of research, along with the increasing need to improve user well-being. This research critically examines options in data and data mining and Machine Learning to support the establishment of systems to recommend better and improved healthcare services. Drawing on the results of a systematic review of past literature, the study shows that the application of Machine Learning algorithms in disease opinion learning, health condition classification, and demographics is emerging as a prospect for driving clinical decisions. Various models, from Deep Learning to traditional machine learning models such as …

The Interplay Between Endothelial Glycocalyx Maturity And Both The Toxicity And Intracellular Uptake Of Charged Nanoparticles, Claire A. Bridges, Lu D. Fu, Jonathan A. Yeow, Xiaojing D. Huang, Miriam D. Jackson, Rhiannon P. Kuchel, James D. Sterling, Shenda M. Baker, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Nanoparticles are widely studied for delivering treatments to target tissues, but few have reached clinical use. Most nanoparticles encounter blood vessels on their way to target tissues. The inner surface of these vessels is lined with endothelial cells covered by a glycocalyx, an extracellular matrix rich in anionic glycans. The role of the glycocalyx in nanoparticle interactions is not well understood. Here, we demonstrate that endothelial cells need extended culture times to synthesize a mature glycocalyx. Our research shows that branched polyethyleneimine functionalized gold nanoparticles bind to endothelial cells expressing either a developing or mature glycocalyx, with the interaction involving …

Leveraging Ai In Teledermatology: A Literature Review On Advancing Health Equity For Underserved Populations, Jared Hensley, Smaran Marupudi, Blake Martin, Neharika Penmetcha, Maria Villegas

Research Symposium

Background: Health disparities in dermatological care tend to disproportionately affect underserved populations, particularly those in rural and resource-limited settings. Teledermatology, augmented by artificial intelligence (AI), presents an opportunity to address these inequities by providing underserved populations with improved diagnostic capabilities. Despite its promise, AI models in teledermatology can often exhibit biases, such as reduced diagnostic efficacy for Fitzpatrick skin types IV-VI, due to their training on non-representative datasets. This literature review explores AI's role in teledermatology and potential strategies to enhance its utility for underserved populations.

Methods: A comprehensive review of peer-reviewed literature was conducted to evaluate the integration of …

Could Telemedicine Approaches Improve Inclusivity In Spinal Cord Injury Care And Research?: Insights From Epidemiological Texas Data, Anesu Karen Murambadoro, Daniel Salinas, Victoria Elizondo, Kevin Garcia Valdez, Blake Martin, Paul Bonilla, Kelsey Baker

Research Symposium

Background: Spinal cord injury (SCI) affects hundreds of Texans, with annual healthcare costs exceeding $43,800 per individual, with the bulk of these costs coming from frequent rehabilitation visits. In a geographically vast state with only two major SCI rehabilitation centers, Texans with SCI may face substantial barriers to accessing specialized care, particularly in rural and underserved areas. Telemedicine, which encompasses remote delivery of healthcare services and rehabilitation, has offered promising solutions in easing travel burden and improving physician reach. For example, nationally, in 2021, 37.0% of individuals utilized telemedicine. Furthermore, telemedicine usage was greatest among individuals living in West and …

Be Safe Out There, Lance Plunkett Jd, Llm

The New York State Dental Journal

In recent months, NYSDA has experienced a series of cyberattacks, where members received fake e-mails purporting to be from NYSDA Trustees. These are known as phishing attacks, a form of cyberattack that attempts to engage the recipient into falling for some scam or into clicking on a link that activates malicious software.

March 2025, Swosu Rural Health Center

RURAL ROCKS

This is the March 2025 issue of Rural Rocks from the SWOSU College of Pharmacy.

N Y State Dent J March 2025

The New York State Dental Journal

In the March 2025 issue, the reader will find the following feature articles:

• Manifestations of Trigeminal Neuralgia Secondary to Multiple Sclerosis in Dentoalveolar Region: Case Report and Literature Review
• Arteriovenous Malformation Presenting as a Disfigured and Throbbing Face: Case Report
• Stress of Dental Students

This issue includes regular columns with regional news impacting the New York membership including: editorial and perspectives columns, legal, association activities, component news, continuing education opportunities, and classifieds.

In this month's update from the New York State Dental Foundation, readers will find a call to action in the article "Volunteers Needed to Join Effort to Alleviate …

March 2025, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

Colorectal cancer awareness!

March is National Nutrition Month!

Spring word find activity!

Preserving Privacy In Senior Care At Home Monitoring Systems, Sam Russel, Ryan Benton, Amy Campbell, Scott Sittig

Shelby Hall Graduate Research Forum Posters

Many seniors prefer to live at home which necessitates research into the application of technologies to provide a safer environment with less caregiver resources. However, the application of home health care (HHC) monitoring for seniors is still in an evolutionary stage. Present HHC systems are produced by private companies with general regulatory guidelines lacking specific care of the elderly. As such, each company that produces such a system claims to have better safety, privacy, and security that their competitors. A pressing issues is devising and applying a general framework for the application of technologies that delivers safety while preserving privacy. …

False Narratives, Real Consequences, Russell W. Cantrell, Matt Campbell

Shelby Hall Graduate Research Forum Posters

Social media is an increasingly significant tool in modern cyber warfare, capable of rapidly shaping public opinion. The swift dissemination of information complicates efforts to distinguish fact from fiction [1]. During public health crises, healthcare professionals use these platforms to share updates, yet their credible content must contend with false or deliberately misleading narratives [2]. This environment creates an opportunity for cyberattacks through social media influence campaigns [3]. While disinformation's role in political interference has been widely studied, its potential to destabilize healthcare remains largely unexplored. Prior research primarily focuses on how vaccine misinformation affects the general public [4]. This …

Awareness On Environmental Air Pollution Among Adults In Rural Mysuru, Rakesh M, Jesymol Joy, Sunil Kumar D

Digital Journal of Clinical Medicine

Introduction

Air pollution is a major environmental threat and one of the main cases of death among all risk factors known so far. Health effects also include preterm and low-birthweight, asthma as well as cognitive and neurological impairment basically having the potential to impact our whole body, way beyond our lungs. The proposed study focusses on to assess the awareness on air pollution and factors associated with it among adults in South Mysuru which can put a light on the preventive measures and policies to be taken by the individuals as well as the authorities.

Methodology

A Community-based cross-sectional study …

Preparing Public Health Researchers To Interact With State-Level Legislators: Evaluation Of The Texas Research-To-Policy Collaboration Project Training, Tiffni Menendez, Amelia Roebuck, Shelby Flores-Thorpe, Yuzi Zhang, Kathleen Manuel, Christine Jovanovic, Alexandra Van Den Berg, J. Taylor Scott, D. Max Crowley, Elizabeth C. Long, Deanna M. Hoelscher

Health Services and Informatics Research

To implement evidence-based health policy, public health researchers need to be equipped with the necessary skills or knowledge to engage with policymakers effectively. The study aimed to evaluate the impact of the Texas Research-to-Policy Collaboration (TX RPC) training on public health professionals and to compare the effectiveness of different training delivery modes (in-person or web-based). In the study, 59 researchers received training to increase their capacity for interacting with legislators and completed pre- and post-training surveys assessing three scales: self-efficacy, knowledge, and training needs. To determine researchers’ pre- and post-training changes, we applied paired t tests. Two-sample t tests were …

Parent And Child Attachment-Like Behaviors With Conversational Ai Agents And Perceptions Of Impact On Family Dynamics, Brandon T. Mcdaniel Phd, Amanda Coupe, Allison Weston, Jessica Pater

Health Services and Informatics Research

Objective: We explored parents’ and children’s attachment-like behaviors with artificial intelligence (AI)-enabled smart speakers (often called digital assistants; DAs) and associations with perceived impacts on family dynamics. Background: DAs (e.g., Alexa) are increasingly integrated into homes, with prior research reporting varied uses, benefits, and concerns, including perceived emotional attachments among children. Method: We conducted an online survey of 351 parents who owned DAs to assess frequency of use, perception of positive/negative impacts, and attachment-like behaviors with DAs. Utilizing linear regression we examined associations between variables. Results: Approximately half reported at least daily DA use. Overall, participants reported moderate attachment-like behavior, …

Investigating The Relationship Between The Circadian Clock, Age, And Lifestyle, Samuel Park, Amaka Eziakonwa, Amega Nguyen, Madison Payne, Erich Stahmer, Alexis Salinas, Payson Broome, Angel Oliver, Christian Mccormick, Jasmyn Brown, Julie A. Zacharias-Simpson, Jutta Ward, Deborah Bell-Pedersen

Annual Research Symposium

This poster presentation aims to understand how circadian clock strength and phase are affected by age and lifestyle. By analyzing changes in physiological rhythms, the study seeks to develop strategies for promoting healthy aging by optimizing circadian function.

Tracking The Effects Of Time Zone Shift On An Individual’S Circadian Rhythm, Amaka Eziakonwa, Erich Stahmer, Amega Nguyen, Samuel Park, Madison Payne, Alexis Salinas, Deborah Bell-Pedersen, Julie A. Zacharias-Simpson

Annual Research Symposium

This poster presentation aims to understand how a rapid time-zone change can affect an individual’s circadian rhythms. By quantifying changes in physiological rhythms, the study seeks to develop targeted therapeutic interventions to mitigate the negative effects of jetlag.

Can We Eliminate The Negative Consequences Of Circadian Desynchronization Caused By Night Shift Work By Using A Light Therapy Lamp To Simulate A Sunset?, Amega Nguyen, Madison Payne, Amaka Eziakonwa, Erich Stahmer, Alexis Salinas, Samuel Park, Julie A. Zacharias-Simpson, Deborah Bell-Pedersen

Annual Research Symposium

This poster aims to understand the relationship between desynchronosis of circadian rhythms and night-shift work and how light therapy can mitigate some of the issues of desynchronosis. This study seeks to develop therapies for disrupted circadian rhythms from night-ship works.

Circadian Rhythm And Its Impact On Balance And Physical Performance, Angel Oliver, Christian Mccormick, Eseosa Aigbe, Tanner Erwin, Ariela Khandadash, Benjamin Khavkin, Samuel Park, Jutta Ward, Deborah Bell-Pedersen

Annual Research Symposium

This study explores the relationship between circadian rhythms and human performance across three key domains: cardiovascular endurance, vestibular function, and strength. Through the review of data obtained through performance testing at two different time points along with 24-hour physiological tracking, this study attempts to find correlations between circadian function and physical performance.

Investigating The Impact Of Shift Work On Circadian Rhythms And Health In Healthcare Workers, Dominique Gillette, Grace Godfrey, Jacob Godfrey, Angela Nguyen, Hannah Gewaid, Carissa Salamatin, Sharon Sengphanith, Samuel Park, Colin Burton, Neha Doppalapudi, Daniel Oraee, Deborah Bell-Pedersen

Annual Research Symposium

This poster presentation aims to discuss how working the night shift contributes to health risks through the disruption of circadian rhythm in healthcare workers. We hope to gain insight on the relationship between these disturbances and the circadian clock in order to establish strategies that optimize healthy lifestyles for healthcare workers.

Artificial Intelligence In Conservative Dentistry And Endodontics, Keerthana Kesavalu Krishnamurthy

Annual Research Symposium

No abstract provided.

Mhealth App To Promote Healthy Lifestyles For Diverse Families Living In Rural Areas: Usability Study, Alejandra Perez Ramirez, Adrian Ortega, Natalie Stephenson, Angel Muñoz Osorio, Anne E Kazak, Thao-Ly Phan

Department of Pediatrics Faculty Papers

BACKGROUND: Mobile Integrated Care for Childhood Obesity is a multicomponent intervention for caregivers of young children with obesity from rural communities that was developed in collaboration with community, parent, and health care partners. It includes community programming to promote healthy lifestyles and address social needs and health care visits with an interdisciplinary team. A digital mobile health platform-the Healthy Lifestyle (Nemours Children's Health) dashboard-was designed as a self-management tool for caregivers to use as part of Mobile Integrated Care for Childhood Obesity.

OBJECTIVE: This study aimed to improve the usability of the English and Spanish language versions of the Healthy …

Anesthesia And Pain Management In Conflict-Affected Regions: Addressing Global Health Barriers To Access And Quality Of Care​, Naeel Uddin, Sierra Brown, Maria Easler, Ayanda Mkhize, Marwa Hamdam, Chandu Goli, Lauren Draper

Annual Research Symposium

This poster examines how to deliver safe, effective anesthesia and pain control in areas with limited resources and ongoing security threats. Focusing on portable technology, ketamine-based protocols, and telemedicine, we highlight ethical considerations, training needs, and global collaborations. Our findings outline a pathway to reduce suffering and improve surgical outcomes in vulnerable populations by addressing challenges unique to conflict settings.

The Opportunities And Barriers Surrounding The Use Of Digital Health And Telemedicine In Sub-Saharan Africa, Aveline Langmead, Afua Osei-Wusu, Erica Tutuwan, Sara Mcmahon, Porter Biggs

Annual Research Symposium

No abstract provided.

Characteristics And Outcomes Of Adults Hospitalized With Respiratory Syncytial Virus, Brian S. Shaw, Cara Slaton, Ian P. Murphy, Michael Mcalister, Daniel Egan, Kwabena Ayesu

The University of Louisville Journal of Respiratory Infections

Background: Respiratory syncytial virus (RSV) is a negative sense single-stranded RNA virus (ssRNA) that primarily causes respiratory infections in both children and older adults. We examined clinical characteristics and outcomes of hospitalized adult patients who tested positive for RSV.

Methods: This was a multicenter, retrospective, descriptive study that examined adult patients admitted with a positive RSV test over two years across eight hospitals in Orlando, Florida.

Results: A total of 120 patients were included, of which 88 (73%) were 60 years old and older. Overall, patients with RSV infection were caucasian (62%) with a median age of 70 years and …

Machine Learning And Shap Interpretability For Chronic Disease Understanding, Nnaemeka Charles Igwe, Khandaker Mamun Ahmed

SDSU Data Science Symposium

Non-communicable diseases (NCDs), such as diabetes, are major global health concerns influenced by various health parameters and lifestyle choices. Traditional methods struggle to efficiently predict and manage these conditions due to the complexity and diversity of medical data. There is a need to leverage machine learning algorithms and modern computational tools to accurately predict diabetes, improve diagnosis, and provide actionable insights for better healthcare outcomes. In this project we study the application of machine learning methods for predicting NCDs such as diabetes. Moreover, we leverage hyperparameter tuning techniques for model development and SHapley Additive exPlanation (SHAP) for results interpretations and …