Health Information Technology Commons^™

Themes, Communities And Influencers Of Online Probiotics Chatter: A Retrospective Analysis From 2009-2017, Santosh Vijaykumar, Aravind Sesagiri Raamkumar, Kristofor Mccarty, Cuthbert Mutumbwa, Jawwad Mustafa, Cyndy Au

Research Collection Lee Kong Chian School Of Business

We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009–17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs. We identified the top 10 topics of probiotics-related communication on Twitter and a constant rise in communication activity. However the number of …

Prediction Of Synthetic Lethal Interactions In Human Cancers Using Multi-View Graph Auto-Encoder, Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li

Research Collection School Of Computing and Information Systems

Synthetic lethality (SL) is a very important concept for the development of targeted anticancer drugs. However, experimental methods for SL detection often suffer from various issues like high cost and low consistency across cell lines. Hence, computational methods for predicting novel SLs have recently emerged as complements for wet-lab experiments. In addition, SL data can be represented as a graph where nodes are genes and edges are the SL interactions. It is thus motivated to design advanced graph-based machine learning algorithms for SL prediction. In this paper, we propose a novel SL prediction method using Multi-view Graph Auto-Encoder (SLMGAE). We …

Real-Time Mobile Teleophthalmology For The Detection Of Eye Disease In Minorities And Low Socioeconomics At-Risk Populations, Lama A. Al-Aswad, Cansu Yuksel Elgin, Vipul Patel, Deborah Popplewell, Kalashree Gopal, Dan Gong, Zach Thomas, Devon Joiner, Cha-Kai Chu, Gladys E. Maestre

School of Medicine Publications

Purpose: To examine the benefits and feasibility of a mobile, real-time, community-based, teleophthalmology program for detecting eye diseases in the New York metro area.

Design: Single site, nonrandomized, cross-sectional, teleophthalmologic study.

Methods: Participants underwent a comprehensive evaluation in a Wi-Fi-equipped teleophthalmology mobile unit. The evaluation consisted of a basic anamnesis with a questionnaire form, brief systemic evaluations and an ophthalmologic evaluation that included visual field, intraocular pressure, pachymetry, anterior segment optical coherence tomography, posterior segment optical coherence tomography, and nonmydriatic fundus photography. The results were evaluated in real-time and follow-up calls were scheduled to complete a secondary questionnaire form. Risk …

Constrained Contrastive Distribution Learning For Unsupervised Anomaly Detection And Localisation In Medical Images, Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh

Research Collection School Of Computing and Information Systems

Unsupervised anomaly detection (UAD) learns one-class classifiers exclusively with normal (i.e., healthy) images to detect any abnormal (i.e., unhealthy) samples that do not conform to the expected normal patterns. UAD has two main advantages over its fully supervised counterpart. Firstly, it is able to directly leverage large datasets available from health screening programs that contain mostly normal image samples, avoiding the costly manual labelling of abnormal samples and the subsequent issues involved in training with extremely class-imbalanced data. Further, UAD approaches can potentially detect and localise any type of lesions that deviate from the normal patterns. One significant challenge faced …

Toward Improving Physician/Patient Communication Regarding Invisible Chronic Illness (Ici): The Potential Of Mhealth Technology In Instructional Communication, Jami Leigh Warren, Karen Clancy, Christy Brady, Kendall Rump, Tayla New-Oglesby

Journal of Communication Pedagogy

Patients that suffer from invisible chronic illness (ICI) such as autoimmune conditions, neurological conditions, and gastrointestinal problems often struggle to obtain a proper medical diagnosis due to a lack of objective indicators to help health-care providers diagnose patients with ICIs. Thus, researchers conducted interviews with 21 participants with Postural Orthostatic Tachycardia Syndrome (POTS) to determine what messages they received from health-care providers as they pursued a diagnosis, how they interpreted those messages, and what role mHealth technology may play in improving patient/provider communication and effective diagnosis/treatment of ICIs. Several themes regarding potential instructional communication intervention content emerged from the interview …

Introducing An Integrated Model Of Adults’ Wearable Activity Tracker Use And Obesity Information–Seeking Behaviors From A National Quota Sample Survey, Bokyung Kim, Seoyeon Celine Hong, Sungwook Kim

College of Communication & Creative Arts Departmental Research

Background: Research from multiple perspectives to investigate adults’ use of wearable activity-tracking devices is limited. We offer a multiperspective model and provide empirical evidence of what leads to frequent usage of wearable health technologies from a large, nationally representative survey sample. Objective: This study aims to explore factors affecting the use of wearable activity-tracking devices among health consumers from the perspectives of individual health beliefs (perceived severity, perceived susceptibility, perceived benefits, and self-efficacy) and information-seeking behaviors. Methods: Our Integrated Model of Wearable Activity Tracker (IMWAT) use and proposed hypotheses were validated and tested with data collected from a telephone survey …

Mobile Phone Sensors Can Discern Medication-Related Gait Quality Changes In Parkinson's Patients In The Home Environment, Albert Pierce, Niklas König Ignasiak, Wilford K. Eiteman-Pang, Cyril Rakovski, Vincent Berardi

Psychology Faculty Articles and Research

Patients with Parkinson's Disease (PD) experience daytime symptom fluctuations, which result in small amplitude, slow and unstable walking during times when medication attenuates. The ability to identify dysfunctional gait patterns throughout the day from raw mobile phone acceleration and gyroscope signals would allow the development of applications to provide real-time interventions to facilitate walking performance by, for example, providing external rhythmic cues. Patients (n = 20, mean Hoehn and Yahr: 2.25) had their ambulatory data recorded and were directly observed twice during one day: once after medication abstention, (OFF) and once approximately 30 min after intake of their medication …

Exploring Digital Health Interventions To Support Community Health Workers In Low-And-Middle-Income Countries During The Covid-19 Pandemic: A Scoping Review Protocol, Anam Shahil Feroz, Komal Valliani, Hajra Khwaja, Sehrish Karim

Community Health Sciences

Introduction: COVID-19 has significantly affected community health workers' (CHWs) performance as they are expected to perform pandemic-related tasks along with routine essential healthcare services. A plausible way to optimise CHWs' functioning during this pandemic is to couple the efforts of CHWs with digital tools. So far, no systematic evidence is available on the use of digital health interventions to support CHWs in low-middle-income countries (LMICs) amid the COVID-19 pandemic. The article describes a protocol for a scoping review of primary research studies that aim to map evidence on the use of unique digital health interventions to support CHWs during COVID-19 …

Human-Machine Communication: Complete Volume. Volume 3. Diffusion Of Human-Machine Communication During And After The Covid-19 Pandemic

Human-Machine Communication

This is the complete volume of HMC Volume 3. Diffusion of Human-Machine Communication During and After the COVID-19 Pandemic

Validation Of An Electronic Trigger To Measure Missed Diagnosis Of Stroke In Emergency Departments, Viralkumar Vaghani, Li Wei, Umair Mushtaq, Dean F Sittig, Andrea Bradford, Hardeep Singh

Faculty, Staff and Students Publications

OBJECTIVE: Diagnostic errors are major contributors to preventable patient harm. We validated the use of an electronic health record (EHR)-based trigger (e-trigger) to measure missed opportunities in stroke diagnosis in emergency departments (EDs).

METHODS: Using two frameworks, the Safer Dx Trigger Tools Framework and the Symptom-disease Pair Analysis of Diagnostic Error Framework, we applied a symptom-disease pair-based e-trigger to identify patients hospitalized for stroke who, in the preceding 30 days, were discharged from the ED with benign headache or dizziness diagnoses. The algorithm was applied to Veteran Affairs National Corporate Data Warehouse on patients seen between 1/1/2016 and 12/31/2017. Trained …

Pulmonary Inflammation And Injury Triggered By Spine Surgery In Recovered Covid-19 Patients Demand Consideration, Luciano Rodrigo Lopes, Silvana Kertzer Kasinski

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Usability And Acceptability Of A Mobile App For Behavior Change And To Improve Immunization Coverage Among Children In Pakistan: A Mixed-Methods Study, Abdul Momin Kazi, Nazia Ahsan, Waliyah Mughis, Saima Jamal, Raheel Allana, Mehreen Raza, Sahrish Muneer, Muhammad Ayub Khan Mughal, Hussain Kalimuddin, Fareeha Sameen

Department of Paediatrics and Child Health

Background: Pakistan's immunization uptake rates are still significantly lower than anticipated despite several initiatives. Lack of awareness, forgetting about vaccination schedule, and vaccine misconception/misinformation are a few of the major drivers that mitigate the rates of immunization. The current COVID-19 pandemic emphasizes the importance of immunization. The significant reductions in regular childhood vaccination during pandemic have increased the risk of outbreaks of vaccine-preventable diseases. Concerns among parents over possibly exposing their children to COVID-19 during child visits may have contributed to the reported declines. Innovative and cost-effective mHealth interventions must be implemented in order to address the problem of inadequate …

Hallucinet-Ing Spatiotemporal Representations Using A 2d-Cnn, Paritosh Parmar, Brendan Morris

Electrical & Computer Engineering Faculty Research

Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared with more simple 2D-CNN architectures. We propose to hallucinate spatiotemporal representations from a 3D-CNN teacher with a 2D-CNN student. By requiring the 2D-CNN to predict the future and intuit upcoming activity, it is encouraged to gain a deeper understanding of actions and how they evolve. The hallucination task is treated as an auxiliary task, which can be used with any other action-related task in a multitask learning setting. Thorough …

Effects Of Remote Digital Monitoring On Oral Hygiene Of Orthodontic Patients: A Prospective Study, Linda Sangalli, Fabio Savoldi, Domenico Dalessandri, Stefano Bonetti, Min Gu, Alberto Signoroni, Corrado Paganelli

Oral Health Science Graduate Research

BACKGROUND: Remote digital monitoring during orthodontic treatment can help patients in improving their oral hygiene performance and reducing the number of appointments due to emergency reasons, especially in time of COVID-19 pandemic where non-urgent appointments might be discouraged.

METHODS: Thirty patients scheduled to start an orthodontic treatment were divided into two groups of fifteen. Compared to controls, study group patients were provided with scan box and cheek retractor (Dental Monitoring®) and were instructed to take monthly intra-oral scans. Plaque Index (PI), Gingival Index (GI), and White Spot Lesions (WSL) were recorded for both groups at baseline (t₀), every …

Scoping Review: The Empowerment Of Alzheimer’S Disease Caregivers With Mhealth Applications, Eunhee Kim, Andrius Baskys, Anandi V. Law, Moom R. Roosan, Yan Li, Don Roosan

Pharmacy Faculty Articles and Research

Alzheimer’s Disease (AD) is one of the most prevalent neurodegenerative chronic diseases. As it progresses, patients become increasingly dependent, and their caregivers are burdened with the increasing demand for managing their care. Mobile health (mHealth) technology, such as smartphone applications, can support the need of these caregivers. This paper examines the published academic literature of mHealth applications that support the caregivers of AD patients. Following the PRISMA for scoping reviews, we searched published literature in five electronic databases between January 2014 and January 2021. Twelve articles were included in the final review. Six themes emerged based on the functionalities provided …

Facilitating Well-Rounded Clinical Experience For Psychiatric Nurse Practitioner Students, Joan Alviar Fraino, Nancy Selix

Nursing and Health Professions Faculty Research and Publications

There is a steady increase in demand for mental health services and a lack of providers. Recent societal changes resulting from the COVID-19 pandemic have increased these needs. Psychiatric mental health nurse practitioners (PMHNP) are well suited to offer these services. High-quality clinical PMHNP student experiences are based on well-rounded curricula in a variety of clinical settings. Meeting the need for clinical education and finding high-quality preceptors is especially challenging during the pandemic due to the lack of preceptors and access to care for in-person services. Creative approaches are needed to meet student clinical experience needs.

Use Of Electronic Health Records To Manage Tobacco Screening And Treatment In Rural Primary Care, Jean A. Talbot Phd, Erica C. Ziller Phd, Carly Milkowski Mph

Mental Health / Substance Use Disorders

Researchers at the Maine Rural Health Research Center, University of Southern Maine examined whether the use of electronic health records by rural primary care physicians facilitates their use of best practices in addressing tobacco dependence. The study used the National Ambulatory Medicare Care Survey (2012-2015) to explore how rurality and use of tobacco-related electronic health record functions were related to smoking status documentation and cessation treatment at adult primary care visits. Rural-urban comparisons were also examined.

The authors conclude that rural primary care physicians were at least as successful as their urban counterparts in leveraging electronic health records to enhance …

September 2021, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

SWOSU is holding COVID19 Vaccination Clinics on Fridays
through the months of September and October
10 am – 2 pm at the Pioneer Cellular Event Center

• This is open to all students and faculty
• Public walk-ins are welcome
**Appointments are not required, but helpful for vaccine management**
• For questions, call the SWOSU COVID phone line 580-774-3025

Pulmon-C: A Real-Time Monitoring Framework Of Pulmonary Function, Md Saiful Islam, Maria Valero, Shahriar Hossain

Symposium of Student Scholars

This project will develop PulMon-C, a real-time monitoring framework of pulmonary function to diagnose COVID-19 patients who are being self-quarantined at home. The tool will identify anomalies in breathe rate and predict pulmonary deterioration to raise alert for immediate actions. The uniqueness of the tool is using non-invasive sensors placed under-mattress that are able to communicate data about the respiratory signal. The customer segment of PulMon-C will be the diagnosed COVID-19 patients and healthcare providers. PulMon-C will assist with the remote monitoring of COVID-19 patients as an urgent need in the USA and will bring larger impact in delivering …

Impact Of Covid-19 On Health Disparities In The United States - A Preliminary Study, Alina Panjwani

Symposium of Student Scholars

Health disparities are the differences in health outcomes and health status among people belonging to different groups. This means that people with low socioeconomic status, old age, racial and ethnic minorities, who are often those with limited access to healthcare may often face a higher disease burden and experience worse health outcomes. The current pandemic of Coronavirus 2019 (COVID-19), caused by the novel coronavirus SARS-CoV-2, provides a painful reminder of why inequities harm all of us as the devastating impact of the pandemic is apparent. This paper examines the differences in and possible cause of the rates of COVID infections, …

A Study Of Covid Tweet: Text Mining And Sentiment Analysis., Tiffany Agiri

Symposium of Student Scholars

A Study of COVID Tweet: Text Mining and Sentiment Analysis.

Tiffany Agiri, BSIT

Advisor: Dr. Chi Zhang, Associate Professor of Information Technology

Abstract

How do the tweets of two polarizing news outlets differ regarding COVID-19, and what can we draw from this data? CNN and Fox News are the two opposing news sources whose tweets we used to conduct our research, with the objective to analyze the tweet most frequently discussed terms on Covid-19 using Natural Language Processing and learn what kind of sentiments the terms are conveying, in each news source’s tweets. Through the use of the Python library …

R-Lstm: Time Series Forecasting For Covid-19 Confirmed Cases With Lstm-Based Framework, Mohammad Masum

Symposium of Student Scholars

The coronavirus disease 2019 (COVID-19) caused a pandemic outbreak affecting 213 nations worldwide. Global policymakers are imposing many measures to slow and reduce the rapid growth of infections. On the other hand, the healthcare system is encountering significant challenges for a massive number of COVID-19 confirmed or suspected individuals seeking treatment. Therefore, estimating the number of confirmed cases is necessary to provide valuable insights into the growth of the outbreak and facilitate the policy-making process. In this study, we apply ARIMA models as well as LSTM-based recurrent neural networks to forecast the daily cumulative confirmed cases. The LSTM architecture generates …

Improving National Health Management Information Systems: Stakeholder Views In Selected Sub-Saharan African Countries, Marie Donaldson

Dissertations and Theses

Background

Reliable, quality health information is the foundation of measurement and decision making in the health sector. Effective health management information systems can help improve the quality and coverage of health services, aid in policy development, support program implementation, and increase the likelihood that a well-trained health work force with the infrastructure and resources needed to provide appropriate health services will be properly distributed and supplied. There is widespread global agreement that data is a powerful tool. Arming Ministry of Health officials with better access to higher quality data that they know how to use can help improve health services …

Covid‑19, Race/Ethnicity, And Age: The Role Of Telemedicine To Close The Gaps On Health Disparities, Andreas Kakolyris, Juan J. Delacruz, Christos I. Giannikos

Publications and Research

The novel COVID-19 outbreak is a major public health challenge that quickly turned into an economic recession of great proportions. This pandemic poses a trade-off between health and the economy where social distancing, quarantines, and isolation shut down demand and supply chains across the USA. This paper analyzes the impact of COVID-19 on illness and death among older adults and communities of color with low socioeconomic status in New York City. To achieve this goal, fractional logit models are used to capture changes in the novel virus’ morbidity and mortality rates at the neighborhood level. Median income, race/ethnicity, age, household …

Why Should People Use Face Masks In The Time Of Covid? The Jri Position, Jose Bordon, Alex Glynn, Forest W. Arnold

The University of Louisville Journal of Respiratory Infections

No abstract provided.

No Difference In Clinical Outcomes For African American And White Patients Hospitalized With Sars-Cov-2 Pneumonia In Louisville, Kentucky, Julio A. Ramirez, Stephen P. Furmanek, Thomas Chandler, Stephen S. Hanson, Dawn Balcom, Subathra Marimuthu, Sathya Krishnasamy, Jose Bordon, Rodrigo Cavallazzi, Amr Aboelnasr, Mahder A. Tella, William A. Mattingly, Ashley M. Wilde, Daisy Sangroula, Demetra Antimisiaris, Donghoon Chung, Guillermo Cabral, Gabino R Fernandez-Botran, Jiapeng Huang, Martin Gnoni, Ozan Akca, Paul Schulz, Phillip F. Bressoud, Priya Krishnan, Sally Suliman, William P. Mckinney, Bryan Moffett, Leslie A Wolf, Mark Burns, Alex Glynn, Ruth Carrico, Forest W. Arnold

The University of Louisville Journal of Respiratory Infections

Introduction: Current literature indicates that African American individuals are at increased risk of becoming infected with the SARS-CoV-2 virus and suffer higher SARS-CoV-2-related mortality rates. However, there is a lack of consensus as to how the clinical outcomes of African American patients differ from those of other groups. The objective of this study was to define the clinical outcomes of African American and White hospitalized patients with SARS-CoV-2 community-acquired pneumonia (CAP) in Louisville, Kentucky.

Methods: This was a retrospective cohort study of hospitalized patients with SARS-CoV-2 CAP at eight hospitals in Louisville, Kentucky. Severity of CAP at time of hospitalization …

Applications Of Bayesian Inference For Modelling Dynamic Instability In Neuronal Dendrite Morphogenesis, Daniel Fridman

The Yale Undergraduate Research Journal

Neurons are complex biological systems which develop intricate morphologies and whose dendrites are essential in receiving and integrating input signals from neighboring neurons. While much research has been done on the role of dendrites in neuronal development, a further understanding of dendrite dynamics can provide insight into neural development and the cellular basis of neurological diseases such as schizophrenia, Down’s syndrome, and autism. The Jonathon Howard lab hypothesizes that microtubules are a primary driving force in dendrite dynamics. Since it is known that microtubules display dynamic instability, rapidly transitioning between growth, paused, and shrinking states, the Howard lab proposes a …

Strongyloides Stercoralis Hyperinfection And Disseminated Tuberculosis, Hernan Terroba, Alejandra González, Diana Vera Gonzalez, Roxana Mariela Godoy, Analia Santos, Marisol Arrojo

The University of Louisville Journal of Respiratory Infections

No abstract provided.

A Pilot Study Of Knee And Hip Osteoarthritis Patient Experience With Telemedicine During The Covid-19 Pandemic, Rondy M. Lazaro, Kyle J. Smith, Mohammad H. Bawany, Nathan Barford, Jennifer H. Paul

Advances in Clinical Medical Research and Healthcare Delivery

Objective: The purpose of this pilot study is to examine patients' experience and satisfaction using telemedicine for knee and hip osteoarthritis care during the COVID-19 pandemic.

Methods: Adult patients seen via telemedicine for knee and/or hip osteoarthritis pain completed surveys through the REDCap online platform or pen/paper evaluating their experiences and satisfaction with telemedicine, assessed using yes/no and Likert scale questions. Demographic information was collected from the electronic medical record (EMR).

Results: 32 subjects (9 males, 23 females, mean age 63.2 years [SD = 12.2 years]) completed surveys. 90.6% of subjects stated that they were satisfied with the audio/video quality …

Why Do Graphic Health Warnings Fail: An Explanatory Case Study On The Persistence Of Smoking Behavior Among Male Adult Smokers In A Rural And Low-Income Setting In The Philippines, John Rafael Arda, Ashley Gabrielle Jeanjaquet, Navin John Pasia, John Dominic Mari Rafael, Danyz Samantha Rita, Kaye Bernice Siao, Jecelyn Grace Yparraguirre, Genejane Adarlo

Health Sciences Faculty Publications

Background: The Philippines enacted in 2014 Republic Act No. 10643 that mandated the printing of Graphic Health Warnings on tobacco packages. However, smoking behavior among male smokers in the country, particularly in rural and low-income areas, persists even if the Graphic Health Warnings are according to the guidelines set by the World Health Organization. Hence, this explanatory case study aims to examine why and how most male adult smokers in a rural and low-income setting in the Philippines fail to quit smoking despite the presence of Graphic Health Warnings on tobacco packages.

Methods: Forty-four male adult smokers from Barangay Urdaneta …