Health Information Technology Commons^™

Constrained Multiview Contrastive Learning For Jointly Supervised Representation Learning, Siyuan Dai, Kai Ye, Kun Zhao, Yang Du, Haoteng Tang, Liang Zhan

Computer Science Faculty Publications

Purpose

Materials and Methods

Internalized Colorism As A Gendered Barrier To Skin Cancer Information Avoidance Among Hispanic College Students, Soo Yun Kim, Wan-Lin Chang

Communication Faculty Publications

Skin cancer disparities persist among racial and ethnic minority populations, yet sociocultural factors shaping engagement with preventive health information remain understudied. This study examines whether internalized colorism functions as a barrier to skin cancer information avoidance among Hispanic college students and whether these associations differ by sex. Using survey data from 300 undergraduates at a Hispanic-serving institution, hierarchical regression analyses examined how three dimensions of colorism, including self-concept, attractiveness, and upward mobility, were associated with skin cancer information avoidance. Results indicated that only the attractiveness dimension predicted information avoidance. This association was moderated by sex, such that attractiveness-based colorism was …

Topoimages: Incorporating Local Topology Encoding Into Deep Learning Models For Medical Image Classification, Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Z. Chen

Computer Science Faculty Publications

Topological structures in image data, such as connected components and loops, play a crucial role in understanding image content (e.g., biomedical objects). Despite remarkable successes of numerous image processing methods that rely on appearance information, these methods often lack sensitivity to topological structures when used in general deep learning (DL) frameworks. In this paper, we introduce a new general approach, called TopoImages (for Topology Images), which computes a new representation of input images by encoding local topology of patches. In TopoImages, we leverage persistent homology (PH) to encode geometric and topological features inherent in image patches. Our main objective is …

Data-Driven Survival Modeling For Breast Cancer Prognostics: A Comparative Study With Machine Learning And Traditional Survival Modeling Methods, Theophilus Gyedu Baidoo, Hansapani Rodrigo

School of Mathematical & Statistical Sciences Faculty Publications

Background This investigation delves into the potential application of data-driven survival modeling approaches for prognostic assessments of breast cancer survival. The primary objective is to evaluate and compare the ability of machine learning (ML) models and conventional survival analysis techniques, to identify consistent key predictors of breast cancer survival outcomes.

Methods This study employs data-driven survival modeling approaches to predict breast cancer survival, including survival-specific methods such as the Cox Proportional Hazards (CPH) model, Random Survival Forests (RSF), and Cox Proportional Deep Neural Networks (DeepSurv), as well as machine learning models like Random Forests (RF), XGBoost, Support Vector Machines (SVM) …

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 …

Mass Media Messages And Patients’ Rights: A Case Of Mt. Elgon Sub-County, Kenya, Felister Nyaera Nkangi, Egara Kabaji, Lydia Anyonje, Aje-Ori Agbese

Communication Faculty Publications

This article focuses on challenges facing dissemination of mass media messages on patients’ rights among rural dwellers of Mt. Elgon in Bungoma County -Kenya. The initial research that culminated into this write-up was informed by the low literacy levels on patients’ rights reflected by various studies conducted among rural dwellers. A qualitative research approach was adopted and data was collected from 6 journalists/media practitioners from leading national media houses, 2 policy experts and 6 focus group discussions comprising 12 participants of both genders drawn from adult residents of Mt. Elgon sub-county. Two interview guides, one for media practitioners and another …

The Impact Of Electronic Messaging On Hiv In A Medically Underserved Population, Blake Martin, Smaran Marupudi, Justin Heckman, Russell Wiggins

Research Colloquium

Introduction: HIV in the United States has affected all types of demographics and has been growing by 50,000 new infections each year. Healthy people 2030 states that their objectives of both reducing new HIV cases and increasing knowledge of the disease has had little to no change. We intend to decrease both short-term incidence of HIV contracture and long-term incidence of disease progression to AIDS via utilization of an electronic health messaging and outreach system.

Methods: Individuals will be registered for text alerts at their next AHEC medical appointment. The practitioner, utilizing an HIV Risk Assessment Tool would ask high-risk …

Development And Validation Of A Measure For Seeking Health Information In The Diabetes Online Community: Mixed Methods Study, Allyson S. Hughes, Sarah Beach, Spruhaa Vasistha, Nazanin M. Heydarian, Osvaldo F. Morera

School of Social Work Faculty Publications

Background

Individuals with chronic diseases often search for health information online. The Diabetes Online Community (DOC) is an active community with members who exchange health information; however, few studies have examined health information brokering in the DOC.

Objective

The aim of this study was to develop and validate the Attitudes Toward Seeking Health Information Online (ATSHIO) scale in a sample of adults with type 1 diabetes (T1D).

Methods

People with T1D were recruited through the DOC, specifically Facebook and Twitter. They were provided with a Qualtrics link to complete the survey. This was a mixed methods study that used thematic …

Unpacking The Influencing Factors Of Telehealth Usage Among Older Consumers, Xiaojing Sheng, Yuri Martirosyan, Khondoker Sayeed Hossain, Reto Felix, Arjun Singh

Marketing Faculty Publications

This research unpacks the challenges and motivations of telehealth usage among older consumers—an understudied population in the extant telehealth literature. Through surveying a sample of older consumers who regularly migrate to winter in the southern areas of the United States, our qualitative analysis uncovers motivations (i.e., convenience, ease of use, efficiency, and a forced option) and challenges (i.e., telehealth limitations, privacy concerns, and lack of trust, access, and skills) of older consumers’ telehealth usage. Further, logistic regression identifies attitude toward telehealth, gender, and health status as significant predictors of telehealth usage behavior. Contributions to theory and practice are also discussed.

The Role Of Technology In Online Health Communities: A Study Of Information-Seeking Behavior, Leann Boyce, Ahasan Harun, Gayle Prybutok, Victor R. Prybutok

Information Systems Faculty Publications

This study significantly contributes to both theory and practice by providing valuable insights into the role and value of healthcare in the context of online health communities. This study highlights the increasing dependence of patients and their families on online sources for health information and the potential of technology to support individuals with health information needs. This study develops a theoretical framework by analyzing data from a cross-sectional survey using partial least squares structural equation modeling and multi-group and importance-performance map analysis. The findings of this study identify the most beneficial technology-related issues, like ease of site navigation and interaction …

Data Science For Hospital Antibiotic Stewardship, Saikou Jawla

Theses and Dissertations

Antibiotics are widely used to treat bacterial infections, but their misuse leads to antibiotic resistance. Antibiotic resistance is one of the biggest threats to global health, food security, and development today. Antibiotic resistance leads to higher medical costs, prolonged hospital stays, and increased mortality. Antimicrobial stewardship is an approach to measure and improve the appropriate use of antibiotics in healthcare settings. Data science has the potential to support these programs by providing insights into antibiotic prescribing patterns, identifying areas for improvement, and predicting patient outcomes. We explored the role of data science in hospital antibiotic stewardship programs, including statistical methods …

Patient Perceptions Of Trauma-Focused Telemental Health Services Using The Telehealth Satisfaction Questionnaire (Tsq), Bianca T. Villalobos, Aubrey R. Dueweke, Rosaura Orengo-Aguayo, Regan W. Stewart

Psychological Science Faculty Publications

Telehealth services can address many barriers to traditional office-based mental health services. Few studies have assessed youth and caregiver perceptions of and satisfaction with trauma-focused interventions delivered via telemental health. The current study presents data collected using the Telehealth Satisfaction Questionnaire (TSQ), which was developed to measure child and caregiver satisfaction with services, comfort with the telehealth equipment, and barriers to traditional office-based services. Thirteen clinicians delivered home- and school-based Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) via videoconferencing on tablets and computers to 60 child patients (71.7% Latinx, 18.3% Black, and 10.0% non-Hispanic White). Patients and caregivers completed the TSQ at …

Comparison Of Statistical Methods For Modeling Count Data With An Application To Length Of Hospital Stay, Gustavo A. Fernandez

Theses and Dissertations

Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Therefore, understanding hospital LOS variability is always an important healthcare focus. Hospital LOS data are count data, with discrete and nonnegative values, typically right-skewed, and often exhibiting excessive zeros. Numerous studies have been conducted to model hospital LOS to identify significant predictors contributing to its variability. Many researchers have used linear regression with or without logarithmic transformation of the outcome variable LOS, or logistic regression on a dichotomized LOS. These regression methods usually violate models’ assumptions and are subject …

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 …

Reporting Health Data In Waiting Rooms With Mobile Technology: Patient Expectation And Confirmation, Iris Reychav, Ankur Arora, Rajiv Sabherwal, Karina Polyak, Jun Sun, Joseph Azuri

Information Systems Faculty Publications

Objectives: Hospitals and medical staff use digital devices such as mobile phones and tablets to treat patients. Prior research has examined patient-reported outcomes, and the use of medical devices to do diagnosis and prognosis of patients, but not whether patients like using, and intend to use in future, mobile devices to self-report medical data. We address this research gap by developing a theoretical model based on the expectancy confirmation model (ECM) and testing it in an empirical study of patients using mobile technology to self-report data.

Design: This study adopts a non-interventional cross-sectional research design. Randomly-selected patients provided data via …

Can Caregivers Trust Information Technology In The Care Of Their Patients? A Systematic Review, Alice Noblin, Barbara Hewitt, Murad Moqbel, Scott Sittig, Lakesha Kinnerson, Vera Rulon

Information Systems Faculty Publications

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) requires that healthcare providers allow patients to engage in their healthcare by allowing access to their health records. Often patients need informal caregivers including family members or others to help them with their care. This paper explores whether trust is a key factor for informal caregivers’ decision to use health information technologies (HIT) including electronic health records (EHR), patient portals, mobile apps, or other devices to care for their patient. Six reviewers conducted a comprehensive search of four literature databases using terms that pertained to a caregiver and trust to …

Significant Stakeholders: Toward An Agile Knowledge Management System In The Time Of Coronavirus Crisis, Yaojie Li, Yi Zhou, Thomas Stafford, Xuan Wang

Information Systems Faculty Publications

Effective crisis response requires sophisticated knowledge management in organizations. Agile systems development capabilities for such crisis response systems are important, particularly for purposes of tailoring a crisis-oriented knowledge management system to a rapidly shifting threat landscape. We propose an architecture for achieving both of these ends in the form of an Agile Crisis Management System involving three specific stakeholders, and we discuss the steps, outcomes, and implications of such a system.

Sustaining Patient Engagement: The Role Of Health Emotion And Personality Traits In Patient Portal Continuous Use Decision, Murad Moqbel, Mohammed Sajedur Rahman, Sunyoung Cho, Barbara Hewitt

Information Systems Faculty Publications

Healthcare providers increasingly rely on technology, such as patient portals, for asynchronous communication with their patients. Even though clinicians have increasingly adopted patient portals to enhance healthcare quality and reduce cost, few patients continue to use this technology. In this paper, we investigate the effect that individuals’ health emotion and personality traits as measured using the five-factor model (FFM) have on patients’ intention to continually use patient portals through the lens of emotional dissonance theory. We collected survey data from 187 patients at a major medical center in the Midwestern United States. After we analyzed the data using structural equation …

Assessing The Use Of Student-Developed Clerkship Guides For Improving Clerkship Expectations And Experiences: An App-Based Approach., Jose Chavez, Lauren Muenchow, Matthew Hidalgo, Jiyun Lim, Jose Campo Maldonado, Lori Berry, Michael Machiorlatti

MEDI 9331 Scholarly Activities Clinical Years

Background: The transition for medical students from pre-clinical education to the clinical learning environment introduces different expectations, methods of evaluation, and new working conditions. A mobile-friendly web application with clerkship specific information was developed to assess whether clinical preparedness increased among third-year medical students at transitioning to their clinical curriculum.

Objectives: To determine whether medical students’ clinical preparedness increased as they transitioned into clinical rotations by using a mobile-friendly web application that contained information and advice shared by senior medical students that had already completely their rotations.

Methods: Third-year medical students at the University of Texas Rio Grande Valley School …

Understanding The Intention To Use Telehealth Services In Underserved Hispanic Border Communities: Cross-Sectional Study, Suad Ghaddar, Kristina Vatcheva, Samantha G. Alvarado, Laryssa Mykyta

Health & Biomedical Sciences Faculty Publications

Background: Despite the United States having one of the leading health care systems in the world, underserved minority communities face significant access challenges. These communities can benefit from telehealth innovations that promise to improve health care access and, consequently, health outcomes. However, little is known about the attitudes toward telehealth in these communities, an essential first step toward effective adoption and use.

Objective: The purpose of this study is to assess the factors that shape behavioral intention to use telehealth services in underserved Hispanic communities along the Texas-Mexico border and examine the role of electronic health (eHealth) literacy in telehealth …

Physicians’ Perceived Threats And Electronic Medical Record Workaround, Joseph A. Manga, Nan Xiao

Information Systems Faculty Publications

Electronic medical record (EMR) systems can improve patient care and their usages are mandatory in many health care organizations. Yet, some physicians engaged in workaround behaviors as a response to their negative experiences in using EMR. Leveraging protection motivation theory, we propose a theoretical framework to understand what causes physicians to use EMR systems less effectively. We posit that EMR systems’ usability and physicians’ technology capability affect their appraisal of threats associated with EMR use, which in turn influences their workaround behaviors. We conclude with some implications to research and practice, and opportunities for future research.

Mobile Personal Healthcare System For Non-Invasive, Pervasive And Continuous Blood Pressure Monitoring: A Feasibility Study, Luis J. Mena, Vanessa G. Felix, Rodolfo Ostos, Armando J. Gonzalez, Rafael Martinez-Pelaez, Jesus D. Melgarejo, Gladys E. Maestre

School of Medicine Publications

Background: Smartphone-based blood pressure (BP) monitor using photoplethysmogram (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control ofhypertension (HT).

Objective: This study aimed to develop a mobile personal healthcare system for non-invasive, pervasive, and continuous estimation of BP level and variability to be user-friendly to elderly.

Methods: The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless and wearable PPG-only sensor, and a native purposely-designed smartphone application using multilayer perceptron machine learning techniques from raw signals. We performed a pilot study with three elder adults (mean age 61.3 ± 1.5 …

Development Of Learning Objectives To Guide Enhancement Of Chronic Disease Prevention And Management Curricula In Undergraduate Medical Education, Michael Dekhtyar, Cristin Colford, Ebony Whisenant, Jill Huber, Eric Johnson, Patricia Thomas, Kate Kirley, Lauren Mazzurco, Arden D. Dingle, Valerie Terry, Senthil Rajasekaran, Laken Barkowski, Mrinalini Kulkarni-Date, David Henderson, Luann Wilkerson

School of Medicine Publications

Phenomenon: Chronic disease is a leading cause of death and disability in the United States. With an increase in the demand for healthcare and rising costs related to chronic care, physicians need to be better trained to address chronic disease at various stages of illness in a collaborative and cost-effective manner. Specific and measurable learning objectives are key to the design and evaluation of effective training, but there has been no consensus on chronic disease learning objectives appropriate to medical student education. Approach: Wagner’sChronic Care Model (CCM) was selected as a theoretical framework to guide development of an enhanced chronic …

Electrospinning Piezoelectric Fibers For Biocompatible Devices, Bahareh Azimi, Mario Milazzo, Andrea Lazzeri, Stefano Berrettini, M. Jasim Uddin, Zhao Qin, Markus J. Buehler, Serena Danti

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

The field of nanotechnology has been gaining great success due to its potential in developing new generations of nanoscale materials with unprecedented properties and enhanced biological responses. This is particularly exciting using nanofibers, as their mechanical and topographic characteristics can approach those found in naturally occurring biological materials. Electrospinning is a key technique to manufacture ultrafine fibers and fiber meshes with multifunctional features, such as piezoelectricity, to be available on a smaller length scale, thus comparable to subcellular scale, which makes their use increasingly appealing for biomedical applications. These include biocompatible fiber-based devices as smart scaffolds, biosensors, energy harvesters, and …

Concerns Of Female Adolescents About Menarche And First Sexual Intercourse: Mixed Methods Analysis Of Social Media Questions, Nikkie Saldivar Hodgson, Elad Yom-Tov, William F. Strong, Priscilla L. Flores, Giselle N. Ricoy

Communication Faculty Publications

Background: Adolescents use social media for information on medical and social aspects of maturation.

Objective: The aim of this study was to investigate the concerns and information needs of adolescents regarding menarche and first sexual intercourse.

Methods: Questions about menarche or first sexual intercourse were obtained from Yahoo Answers, a community-based social media question-and-answer website. A total of 1226 questions were analyzed. We focused on 123 question pairs made by users who asked questions on both topics and reported their ages at each. Quantitative and qualitative analyses were performed on these question pairs.

Results: Qualitative analysis identified uncertainty as a …

Clinician Satisfaction With In-House And Cloud-Based Ehr Vendors, Massara Alazazi, Jun Sun, Nan Xiao

Information Systems Faculty Publications

This paper examines the factors that affect clinician satisfaction with electronic health records (EHR) vendors that provide in-house and cloud-based solutions. The study is concerned with the organizational level of different healthcare organizations. The model combines the IS Success model and the Task Technology Fit model, to best fit the health information systems. Five research hypotheses derived from the model and are going to be empirically tested using a field survey of EHR systems characteristics and its influence on the organization’s tasks achievement and mission alignment.

Coping Strategies Among Caregivers Of Children With Autism Spectrum Disorders: A Cluster Analysis, Noor Ismael, Lisa Mische Lawson, Murad Moqbel, Lauren Little

Information Systems Faculty Publications

Introduction/Background: The variability in coping strategies among caregivers of children with ASD may contribute to broader health outcomes; however, it is unclear if specific coping strategies are related to overall strain in this population. Therefore, this study identified groups of caregivers based on coping mechanisms and investigated differences in strain among groups.

Materials & Methods: This study utilized a secondary data analysis, and included survey responses of 273 caregivers of children with ASD. Measures consisted of the COPE Inventory, and the Caregiver Strain Questionnaire. Data analyses consisted of cluster analysis to group caregiver coping strategies, and Analysis of Variance to …

Mobile Personal Health Monitoring For Automated Classification Of Electrocardiogram Signals In Elderly, Luis J. Mena, Vanessa G. Felix, Alberto Ochoa, Rodolfo Ostos, Eduardo Gonzalez, Javier Aspuru, Pablo Velarde, Gladys E. Maestre

School of Medicine Publications

Mobile electrocardiogram (ECG) monitoring is an emerging area that has received increasing attention in recent years, but still real-life validation for elderly residing in low and middle-income countries is scarce. We developed a wearable ECG monitor that is integrated with a self-designed wireless sensor for ECG signal acquisition. It is used with a native purposely designed smartphone application, based on machine learning techniques, for automated classification of captured ECG beats from aged people. When tested on 100 older adults, the monitoring system discriminated normal and abnormal ECG signals with a high degree of accuracy (97%), sensitivity (100%), and specificity (96.6%). …

Hispanic Use Of Alternative Medicine As Demonstrated In Internet Searches, Elad Yom-Tov, William F. Strong, Lupita Rodriguez Strong

Communication Faculty Publications

Objective: We investigated how cultural shifts occur with respect to the use of traditional medicine for influenza-like illness (ILI) within the Latino population near the US-Mexico border.

Methods: We extracted searches of ILI treatments (modern, traditional western, and traditional Hispanic) to the Bing search engine from 5 US states near the US-Mexico border. The incidence of these searches was correlated with county-level demographic data and ILI incidence.

Results: The fraction of queries related to Hispanic medicines is correlated with the distance from the US-Mexico border (Spearman rho = -0.24), which is a slower decay than that observed in the use …