Health Information Technology Commons^™

Comparison Of Ecg Features, Cardiac Biomarkers, And Clinical Outcomes In Three Waves Of Hospitalized Covid-19 Pneumonia Patients With Cardiovascular Events, Yuchen Han, Jahnavi Sunkara, Tshura S Ali, Harideep Samanapally, Vidyulata Salunkhe, Fnu Deepti, Emma C. Huang, Justin J. Huang, Maiying Kong, Jiapeng Huang

The University of Louisville Journal of Respiratory Infections

Background

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a rapidly evolving virus that can severely impact the cardiovascular system. With new variants, it is important to characterize wave-specific (defined by dominant circulating variants) clinical changes.

Methods

A multi-center retrospective cohort study of patients hospitalized with SARS-CoV-2 community acquired pneumonia at eight adult acute-care hospitals in the city of Louisville, KY was conducted. Patients hospitalized with Coronavirus Disease 2019 (COVID-19) community acquired pneumonia who experienced a cardiovascular event between March 2020 and July 2022 were included in this analysis. Variant assignment was based on temporal prevalence rather than genomic confirmation, and …

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

Ai×Life 2026: Advances In Computational Biology Across Scales For Life & Health Sciences, Suma Mohan S., Devika N. T., Pranavathiyani G.

Conference Proceedings

Book of Abstracts of the International Conference, AIxLife 2026: Advances in Computational Biology Across Scales for Life & Health Sciences, held on 17–18 April 2026, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, INDIA 

About the Conference

Conventional computational biology laid the foundation for biological data analysis through statistical models, algorithms, and curated databases, enabling insights into genes, proteins, and pathways. Today, the integration of artificial intelligence, spanning machine learning, deep learning, and large language models (LLMs) is driving a transformative shift across biological scales, from atomic and molecular interactions to pathways, cellular systems, organisms, and populations.

AI-powered approaches …

Building The Foundation For Equitable Diabetes Education: Examining Trust And Digital Access In Rural And Unreserved Population, Niasia Hazelton Smalls

MUSC Theses and Dissertations

Disparities in patient portal use undermine equitable chronic disease management, particularly for adults with diabetes in rural and historically underserved communities. This explanatory sequential mixed-methods study examined the associations among trust in the healthcare system and patient portal use among U.S. adults, using nationally representative data from the Health Information National Trends Survey (HINTS) 2023 (N = 3,711), supplemented by semi-structured interviews with frontline healthcare providers. Bivariate analyses revealed that adults with diabetes reported lower trust (83% vs. 86%, p = 0.003) and lower portal use (62% vs. 66%, p = 0.014) compared to those without a diagnosis. Multivariate logistic …

May 2026, Swosu Rural Health Center

RURAL ROCKS

Rural Rocks

Helping to build a better community by building each part of Rural Health Services

As we look ahead to an exciting summer, preparations are well underway for the transition into the new Jerry and Margaret Hodge Pharmacy & Rural Health Center. This state-of-the-art facility will serve as a hub for innovation, education, and expanded access to care across rural Oklahoma. Within the Jerry and Margaret Hodge Building will be the College of Pharmacy, the Rural Health Department, the Center for Health and Well being, as well as the Doctorate of Community Health Program. The Custer County Health …

The Effects Of Administration Policies On Patient Care Quality And Healthcare Service Costs, Rajveer Kaur

Electronic Theses, Projects, and Dissertations

This study examines how administrative policies in U.S. healthcare systems affect patient care quality and service costs. It addresses a gap by analyzing the combined effects of policy, leadership, and technology on both clinical outcomes and financial performance. Using a qualitative descriptive approach guided by the PRISMA protocol, the study systematically identified and analyzed eighteen peer-reviewed articles. The findings show that value-based purchasing policies relate to improved patient safety indicators. Standardized clinical protocols and workforce competency initiatives strengthen care consistency and reduce hospital readmissions. The use of digital health technologies, such as telehealth and predictive analytics, helps optimize resources and …

What Is Transitional Care And Its Role In Reducing Readmissions, Decia Rodriguez

Electronic Theses, Projects, and Dissertations

Thirty-day readmissions to hospitals creates significant clinical and financial burdens in healthcare systems and worsens patient outcomes. This project reviews transitional care programs as strategic interventions to minimize preventable readmission with a specific focus on pharmacist-led medication reconciliation. Due to the extensive literature review, this work proves that structured transitional care is effective in closing the gaps between acute hospital care and home-based recovery because it coordinates medication management, patient education, and follow-up care. As it has been shown, pharmacists are in a central position to minimize medication errors and enhance compliance, especially in chronic patients such as those with …

Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer

All Dissertations

This dissertation examines the accessibility, readability, emotional tone, and trustworthiness of digital, text‑based dementia information and investigates how older adults with and without dementia cognitively and affectively engage with such content. It further explores the potential of generative AI to improve dementia information delivery through the development of a domain‑specific retrieval‑augmented generation (RAG) large language model (LLM) chatbot designed to deliver accessible, stigma‑free information. The dissertation comprises four studies using complementary quantitative and qualitative methods. Study I conducts a large‑scale content analysis of 300 medical articles, 35 websites, and 50 blogs, applying readability metrics, LIWC‑based linguistic and sentiment analysis, and …

May 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

Mental Health Awareness Month

Stress Management Tips for Bulldogs

WELLNESS REMINDER

GET INVOLVED WITH BULLDOG WELLNESS

Bulldog Resources

The Bulldog Wellness Stress Relief Toolkit

Recommendations For Sharing Cardiovascular Implantable Electronic Device Data With Patients Based On Clinician Interviews, Carly Daley, Jonathan Shirazi, Tina Allmandinger, Mindy Flanagan, Stephanie Pruitt, Hung-Yeh Lin, Victor P. Cornet, Jeanne Carroll, Yi Rong Tan, Tammy Toscos, Michael Mirro

Health Services and Informatics Research

BACKGROUND Cardiovascular implantable electronic devices (CIEDs) capture an abundance of data that requires specific medical knowledge to interpret. Currently, there are no clear recommenda tions for sharing clinically meaningful CIED data with patients from the abundance of data in CIED remote monitoring reports.

OBJECTIVE The objectives of this study were to explore clinicians’ perceptions of clinical care gaps related to CIED data that could be improved through patient access to data and to generate recom mendations for sharing CIED data with patients.

METHODS In this institutional review board-exempt, 2-phase sequential qualitative study, 42 semi-structured phone interviews were conducted with 32 …

Analisis Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Sulawesi Selatan Menggunakan Regresi Komponen Utama, Salwa Zahirah Putri Wijaya, Sitti Sahriman Salam, Nasrah Sirajang, Audia Putri Damatia, Hildayanti Hildayanti

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Angka kematian bayi (AKB), khususnya kematian neonatal, merupakan indikator fundamental dalam menilai kualitas pelayanan kesehatan dan kesejahteraan masyarakat. Penelitian ini dilakukan untuk menganalisis faktor-faktor yang memengaruhi AKB di 24 kabupaten/kota di Provinsi Sulawesi Selatan. Variabel independen yang dikaji mencakup dimensi layanan kesehatan, kondisi sosial ekonomi, pendidikan perempuan, sanitasi, air bersih, dan indikator demografis. Data dianalisis menggunakan metode Regresi Komponen Utama (Principal Component Regression/PCR) untuk menganalisis pengaruh variabel-variabel dengan mempertimbangkan adanya potensi korelasi antar variabel independen, sehingga dihasilkan model yang stabil. Melalui analisis komponen utama, lima komponen berhasil dibentuk yang merepresentasikan 84,21% dari total variasi data. Komponen pertama (PC1) …

Drug Risk Knowledge Discovery For Western Medicines Based On Knowledge Graph Link Prediction, Jianxiang Wei, Ma Hengyuan Ma, Yuehong Sun, Wenwen Du, Letian Hu

Journal of Scientific Information Research

[Purpose/significance] The risk information contained in drug instructions is usually incomplete, and some new adverse reactions can only be discovered in actual clinical use. This paper proposes an information organization and knowledge discovery method for pharmacovigilance, in order to timely and accurately identify missing risk knowledge in drug instructions. [Method/process] Drug instructions of 8 152 Western medicines are collected as the research data; On the basis of ontology construction, data annotation, and model training, the UIE model is used to jointly extract entity and relationship triplets from the research data; A new knowledge graph link prediction method CompGCN-RotatE, is proposed, …

Research On Temporal Knowledge Graph Completion Method For Emergent Events Based On Bigru And Graph Contrastive Learning, Peng Wu, Zhenyu Lu, Xuechen Zhang

Journal of Scientific Information Research

[Purpose/significance] During emergencies, social media short texts contain critical information but are heavily interfered with by noise. Traditional static knowledge graph completion techniques struggle to effectively address their dynamic evolution and data sparsity issues, making it imperative to introduce temporal modeling methods. [Method/process] This study proposes a dynamic completion framework that combines the temporal feature capture capability of Bidirectional Gated Recurrent Units (BiGRU) with the noise-resistant representation learning advantages of Graph Contrastive Learning (GCL). At the completion level, the ConBiTE method is introduced, which captures temporal dependencies through self-attention mechanisms and BiGRU, while leveraging GCL to enhance the completion of …

How Digital News Impacts Health Knowledge And Decisions, Ellya Asatryan

Pepperdine Journal of Communication Research

This literature review examines how digital news and online health information (OHI) influence health knowledge and decision-making. This review focuses specifically on young adults, who increasingly rely on digital platforms for health information. Evidence indicates that OHI can support informed health decisions, such as lifestyle changes and self-care, particularly when individuals possess higher digital health literacy. However, the rise of social media, influencer marketing, and misinformation complicates these effects, making critical evaluation skills essential. Trust in digital health news is mediated by source credibility, exposure to misinformation, and individuals’ media and health literacy levels. Lower health literacy is associated with …

Coordinated Telehealth For People With Parkinson’S Disease: A Qualitative Comparison Of Providers’ And Patients’ Experiences, Erin J. Bush, Reshmi L. Singh, Josephine Cox, Merrill R. Landers, Annalisa V. Piccorelli

The Qualitative Report

Telehealth increases access to allied healthcare in rural areas. People with Parkinson’s disease (PD) need improved access to health care, and from a patient-centered perspective, the coordination of their healthcare should be a priority. Four speech-language pathologists, two physical therapists, two pharmacists, and two study coordinators provided a coordinated allied healthcare intervention for people with PD in rural Wyoming and Nevada. Both the providers of the intervention, as well as the participants who received it, were interviewed about their experiences with the eight-week intervention and asked about aspects that were successful or unsuccessful. Through a naturalistic paradigm using a qualitative …

Handgrip Strength, Handgrip Endurance And Bmi: A Comprehensive Approach To Health Assessment Among The General Population Of Madikeri, Dr Asha S. Das, Dr Ravikiran Kisan, Dr Suhas Y. Shirur, Dr Narasimha Rai K, Dr Sanjay Bhagoji

Digital Journal of Clinical Medicine

Introduction: Being physically fit is essential for lowering the risk of illness and enhancing longevity. While Body Mass Index (BMI) is frequently used to evaluate body composition, Hand Grip Strength (HGS) and Hand Grip Endurance (HGE) are important indicators of general well-being. Goal: To assess BMI, HGS, and HGE and ascertain how they correlate in a selected group of subjects. Methods: Fifty participants between the ages of 20 and 40 years participated in a comparative cross-sectional study at the Department of Physiology, Kodagu Institute of Medical Sciences, Madikeri. Participants were divided into three BMI groups after anthropometric measurements were taken. …

From Data To Action: Enhancing Public Health Communication & Information Dissemination, Ryan Hayden, Devon Donovan

Health Sciences Student Scholarship

No abstract provided.

Tom: Treatment Outcome Monitor - A Web-Based Tool Designed Specifically For Clinics With Limited Resources, Saurabh Shashikumar Nair, Alba Kihn Alarcon, Maritza Elodia Cupil Barrios, Milton Estuardo Ixquiac Cabrera, Mynor Villeda, Joseph Steyn, Anneray Richards, Ricardo Ruggeri, Loida Orozco, Angel Velarde, Indranil Mallick, Graeme Lazarus, Christoph Trauernicht, Vicky De Falla, Tim Edwards, Johnny Inthaphone, Adenike Olanrewaju, Laurence E. Court, Joshua Niedzielski

Advances in Cancer Education and Quality Improvement

Background: Although three-fourths of cancer deaths are expected to occur in low- and middle-income countries (LMICs) by 2030, most cancer research still comes from high-income countries. One barrier to cancer research in LMICs is lack of infrastructure for systematic data collection, including electronic medical record systems. We developed Treatment Outcome Monitor (TOM), a cloud-based tool for tracking cancer patient outcomes, designed specifically for resource-limited settings.

Methods: TOM was developed through iterative design cycles with continuous feedback from health care providers from across the world. We focused on creating a simple, web-based solution that addresses real-world challenges in resource-limited …

A Backend Database Architecture For Persistent Epilepsy Classification Records, Attiksh A. Panda, Deep Desai, Artem Zabarov, Katrina D. Prantzalos, Satya S. Sahoo, Shuai Xu

Student Scholarship

Epilepsy affects over five million people globally each year, yet consistent clinical diagnosis remains a persistent challenge due to the lack of standardized classification workflows across medical institutions. The Four-Dimensional Epilepsy Classification (4D-EC) framework, developed by Lüders et al., provides a comprehensive structure for characterizing paroxysmal events across four dimensions: seizure semiology, epileptogenic zone, etiology, and comorbidities. Despite its clinical and educational value, no dedicated informatics platform existed to support its routine use until recently, limiting widespread adoption among clinicians and trainees. This project addresses that gap by implementing a full-stack web application that operationalizes the 4D-EC framework for clinical …

Familybloom: Examining Ecologies Of Collaboration In Family-Centered Health Tracking, Lucas M. Silva, Aehong Min, Evropi Stefanidi, Franceli L. Cibrian, Jesus A. Beltran, Cassie Zeiler, Sabrina E. B. Schuck, Kimberley D. Lakes, Gillian R. Hayes, Daniel A. Epstein

Engineering Faculty Articles and Research

Family health informatics tools can help support well-being with shared data tracking. Prior work typically focused on shared data review, but often in specific moments, like bedtime, or centered on caregiving of children or elderly members. To investigate how tracking can support mutual health collaboration between family members pervasively across daily contexts, we designed and deployed FamilyBloom, a glanceable smartwatch and home display system for mood and goal tracking. Twelve families with both neurotypical and ADHD members used FamilyBloom for three months on average. Our findings reveal how family-centered tracking created collaboration opportunities and tensions across multiple ecological systems: individual …