Health Information Technology Commons^™

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

June 2026, Swosu Rural Health Center

RURAL ROCKS

Rural Rocks

Second Generation Antipsychotics in the Treatment of Depression

Dr. Debra L. Stevens, Pharm.D., BCPP 

Major depressive disorder (MDD), also known as depression, affects 1 in 5 individuals in their lifetime.¹ Worldwide approximately 246 to 286 million individuals are afflicted with MDD.² MDD may cause significant morbidity and disability. The World Health Organization estimates that MDD will be one of the leading causes of disease burden by 2030.²

A significant number of patients diagnosed with MDD do not respond adequately despite appropriate treatment with antidepressants.² Treatment resistance may occur in up to one-third of patients …

When The Therapist Is An Algorithm: Understanding Autism Spectrum Students’ Acceptance Of Generative Ai As A Mental Well-Being Tool Through The Technological Acceptance Model, Jossy P. George, Peter Muttungal, Benny Jeyekumar Davidson, Nishi Priya

Northeast Journal of Complex Systems (NEJCS)

This study examines the psychological and technological factors of the acceptance and emotional well-being of 349 college students with autism who use generative artificial intelligence tools as sources of psychological and emotional support. Grounded on the model of Technology Acceptance Model (TAM), the research studies relationships among perceived empathy, perceived usefulness, ease of use, emotional trust, continuance intention, and overall well-being. Structural equation modelling found that the perceived empathy was a significant predictor of ease of use and usefulness, while emotional trust and continuance intention proved to be significant predictors of emotional well-being. To reinforce these results, predictive modelling performed …

Utilizing Remote Patient Monitoring With Dnp Students To Provide Pre-Natal Care, Sara Mccumber

InnovateHER Meeting 2026

This educational project introduced Nurse Practitioners to the use of RPM during pre-natal care for a patient with pre-natal hypertension. Hypertension is a risk factor in 16% of pregnancies and 5-8% of US births are impacted by hypertensive disorders and preeclampsia (CDC, 2023).

Identification and effective management of hypertension in pregnancy recently was an initiative of the Minnesota Perinatal Quality Collaborative (MPQC, 2022).

Cognitive Behavioral Therapy-Based Psychosocial Interventions To Reduce Anxiety After Social Isolation In Adolescent Females, Bailey E. Noble

InnovateHER Meeting 2026

• COVID-19 social isolation linked with higher anxiety risk in adolescents, especially females
• Review examined whether CBT-based psychosocial interventions reduce anxiety after pandemic-related loneliness/social isolation
• Across 6 studies, remote and internet-delivered CBT linked with anxiety improvement 
• Strongest outcomes seen with therapist-assisted CBT
• Common barriers: privacy, motivation, scheduling, and digital access
• Nursing relevance: early screening, referral, and support for treatment participation

Advocateai: A Human-In-The-Loop Artificial Intelligence Platform To Improve Diagnostic Trajectories And Patient Empowerment In Chronic Pelvic Pain, Gayatri Bhanot, Ashley Kochans

InnovateHER Meeting 2026

Chronic pelvic pain (CPP) affects up to 27% of women globally^1, yet diagnosis takes 4 – 12 years on average² — a crisis driven by healthcare fragmentation, systemic gender bias, and a 62% rate of symptom dismissal by healthcare providers³. AdvocateAI is a human-in-the-loop AI platform designed to empower patients to accelerate their own diagnostic journey. By synthesizing fragmented medical records and patient-reported symptoms, the tool creates structured clinical summaries and personalized advocacy scripts. Here, we present our findings from discovery, including a landscape analysis of available CPP treatments, a prototype co-designed by patients, and custom …

Healthcare Supply Chain Optimization Techniques: Case Studies Of Pittsburgh-Area Healthcare Centers, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Nudging Implementation Of Low Tidal Volume Ventilation: A Stepped Wedge, Cluster Randomized Trial, Meeta Prasad Kerlin, Michael O. Harhay, Fan Li, Dylan S. Small, Yingying Lu, Wei Wang, Barry D. Fuchs, Mark E. Mikkelsen, Teresa Tran, Aerielle Belk, Jasmine A. Silvestri, Tamar Klaiman, Stefania Scott, Elizabeth Levy, Michael W. Sjoding, Rachel Kohn, Karsten J. Roberts, Rinad S. Beidas, Scott D. Halpern

College of Health Professions Faculty Papers

BACKGROUND: "Nudges" embedded in the electronic health record (EHR) facilitate desired decisions while preserving autonomy and may provide a scalable strategy to overcome the common implementation barrier of lack of knowledge about a best practice. We sought to test whether EHR-based nudges targeting two intensive care unit (ICU) clinician groups would safely increase evidence-based use of low tidal volume ventilation.

METHODS: We performed a stepped-wedge, cluster randomized, hybrid type 3 effectiveness-implementation trial in 12 ICUs from February 2021 to May 2023 to test three nudges targeting clinicians responsible for order entry and respiratory therapists responsible for operationalizing orders and documentation. …

Developing A Computational Pipeline For Biomarker Discovery In Ischemic Reperfusion Injury, Surabhi Panda, Kaitlyn Insana, Dimitri Pestov

Rowan-Virtua Research Day

Background: Ischemia-reperfusion injury (IRI) contributes significantly to tissue damage in cardiovascular disease. During IRI, stressed and dying cells release ribosomal RNA, which exhibits distinct fragmentation patterns that may serve as potential diagnostic biomarkers. Although these patterns have been observed using low-resolution biochemical techniques, there is currently no standardized computational approach to quantify and visualize RNA fragmentation for clinical interpretation.

Hypothesis: A computational pipeline can be developed to visualize and analyze ribosomal RNA fragmentation patterns, enabling identification of distinct fragmentation hotspots associated with ischemic conditions and potential biomarker discovery.

Methods: RNA fragmentation datasets generated from ribosomal RNA experiments in a Saccharomyces …

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 …

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 …

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 …

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 …

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

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 …

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) …

Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …