Health Information Technology Commons^™

Developing A New Analytical Model For Combatting Crises: A Comprehensive Review, Seth Spire

Research Awards

As the world emerges from the COVID-19 pandemic, it is critical to reflect on the lessons learned and prepare for potential future health crises. While data analytics and artificial intelligence (AI) played a pivotal role in managing the pandemic, there is much room for improvement and further use. This study examines the current state of data science tools employed during COVID-19, evaluating their advantages, limitations, and challenges in their broader implementation. We also review literature on future directions for AI in healthcare. Our findings highlight significant challenges, including difficulties in accessing usable data and common distrust of AI models for …

Consensus Statement On Ethical & Safety Practices For Conducting Digital Monitoring Studies With People At Risk Of Suicide And Related Behaviors, Matthew K. Nock, Evan M. Kleiman, Melissa Abraham, Kate H. Bentley, David A. Brent, Ralph J. Buonopane, Franckie Castro-Ramirez, Christine B. Cha, Walter Dempsey, John Draper, Catherine R. Glenn, Jill Harkavy-Friedman, Michael R. Hollander, Jeffrey C. Huffman, Hye In S. Lee, Alexander J. Millner, David Mou, Jukka-Pekka Onnela, Rosalind W. Picard, Heather M. Quay, Osiris Rankin, Shannon Sewards, John Torous, Joan Wheelis, Ursula Whiteside, Galia Siegel, Anna E. Ordóñez, Jane L. Pearson

Psychology Faculty Publications

OBJECTIVE: Digital monitoring technologies (e.g., smart-phones and wearable devices) provide unprecedented opportunities to study potentially harmful behaviors such as suicide, violence, and alcohol/substance use in real-time. The use of these new technologies has the potential to significantly advance the understanding, prediction, and prevention of these behaviors. However, such technologies also introduce myriad ethical and safety concerns, such as deciding when and how to intervene if a participant's responses indicate elevated risk during the study?

METHODS: We used a modified Delphi process to develop a consensus among a diverse panel of experts on the ethical and safety practices for conducting digital …

Tri-Molybdenum Phosphide (Mo3P) And Multi-Walled Carbon Nanotube Junctions For Volatile Organic Compounds (Vocs) Detection, Baleeswaraiah Muchharla, Praveen Malali, Brenna Daniel, Alireza Kondori, Mohammad Asadi, Wei Cao, Hani E. Elsayed-Ali, Mickaël Castro, Mehran Elahi, Adetayo Adedeji, Kishor Kumar Sadasivuni, Muni Raj Mauya, Kapil Kumar, Abdennaceur Karoui, Bijandra Kumar

Electrical & Computer Engineering Faculty Publications

Detection and analysis of volatile organic compounds’ (VOCs) biomarkers lead to improvement in healthcare diagnosis and other applications such as chemical threat detection and food quality control. Here, we report on tri-molybdenum phosphide (Mo₃P) and multi- walled carbon nanotube (MWCNT) junction-based vapor quantum resistive sensors (vQRSs), which exhibit more than one order of magni- tude higher sensitivity and superior selectivity for biomarkers in comparison to pristine MWCNT junctions based vQRSs. Transmission electron microscope/scanning tunneling electron microscope with energy dispersive x-ray spectroscopy, x-ray diffraction, and x-ray photo- electron spectroscopy studies reveal the crystallinity and the presence of Mo and …

The Role Of Rapid Diagnostic Point Of Care Igg/Igm Antibody Tests In The Diagnosis Of Sars-Cov-2 Infection, Nishita Tripathi, Daniya Sheikh, Dawn Balcom

The University of Louisville Journal of Respiratory Infections

Background: Current testing of symptomatic patients for SARS-CoV-2 involves the use of nucleic acid amplification tests, also known as genetic, RNA, or polymerase chain reaction (PCR), to detect viral RNA. The initial use of point of care (POC) antibody tests, also known as serological tests, in the management of SARS-CoV-2 infection was limited. In this review, we determine the significance of POC antibody serological tests and explore their possible role in the diagnosis and management of patients infected with the SARS-CoV-2 virus.

Methods: A literature search was conducted in Google Scholar, PubMed, and Embase, supplemented by searching the Centers for …

A Neutrosophic Clinical Decision-Making System For Cardiovascular Diseases Risk Analysis, Florentin Smarandache, Shaista Habib, Wardat-Us- Salam, M. Arif Butt, Muhammad Akram

Branch Mathematics and Statistics Faculty and Staff Publications

Cardiovascular diseases are the leading cause of death worldwide. Early diagnosis of heart disease can reduce this large number of deaths so that treatment can be carried out. Many decision-making systems have been developed, but they are too complex for medical professionals. To target these objectives, we develop an explainable neutrosophic clinical decision-making system for the timely diagnose of cardiovascular disease risk. We make our system transparent and easy to understand with the help of explainable artificial intelligence techniques so that medical professionals can easily adopt this system. Our system is taking thirtyfive symptoms as input parameters, which are, gender, …

Finding Trends In Big City Health Issues With Data Visualization, Shridhar Kulkarni

Dissertations and Theses

In recent years, data visualization has become one of the most effective tools to understand and identify unseen features of the large datasets available. An open source data set available for health issues for big cities across the United States was obtained. There are numerous indicators presented in the dataset including Demographics, Chronic Health Diseases, Social and Economic Factors, Food Safety, Mortality Rates, Cancer and Life Expectancy Rates. The dataset encompassed myriad of demographics as well as specific data for a number of US cities. The data was explored in different methods in Data points in terms of the demographic …

Abstracts From The 26th Annual Health Care Systems Research Network Conference, April 8–10, 2020

Journal of Patient-Centered Research and Reviews

The Health Care Systems Research Network (HCSRN) is made up of community-based care delivery systems with a shared mission to improve health and health care through research. The network’s annual conference serves as a forum for attendees to disseminate study findings, stimulate collaborations, and share insights about conducting research in real-world care settings. Although this year’s live conference was cancelled to help slow the spread of COVID-19, the oral and poster abstracts accepted for presentation at HCSRN 2020 are published in this open access supplement to Volume 7, Issue 1 of the Journal of Patient-Centered Research and Reviews, the …

Study Of Satisfaction Of Inpatient Discharge Based On Nurses’ Perceptions, Hong Lin

Dissertations and Theses

Patient satisfaction plays an important role in providing quality health care, and discharge satisfaction is part of overall patient satisfaction since it reveals how patients feel about their stay. In this paper, we evaluated inpatient discharge satisfaction based on nurses’ perceptions. An anonymous survey was used to evaluate how satisfied the patients were when being discharged from the acute care hospital with survey questions answered by nurses who work on medical-surgical floors. Data was collected from the questionnaires and analyzed using Excel.

Towards Wide Implementation Of Dance Therapy In Mental Health, Pin-Wen Chou

Dissertations and Theses

In recent years, Dance Movement Therapy (DMT) has been increasingly mentioned in the field of mental health counseling. Despite the progress of DMT in terms of studies showing its efficiency for various forms of mental health conditions such as depression and trauma, the implementation of DMT amongst mental health therapists is still not as widespread as other forms of therapies such as verbal and art therapies. In this project, we aim to determine the underlying causes of its low implementation by surveying a set of populations, specifically mental health patients, mental health therapists that do not specialize in dance/movement therapy, …

Physical Therapy With Adjunct Therapies In Patients With Chronic Pain And Disability Post-Motor Vehicle Accidents, Lakshmi Subramanian

Dissertations and Theses

This project is a thorough literature review of studies concerning physical therapy interventions in conjunction with adjunct treatments for patients post-motor vehicle accidents focused on the therapy’s efficacy as related to functional outcome measures. Physical therapy is frequently treatment of choice for patients after minor motor vehicle accidents. However, most patients seek concomitant therapies like acupuncture, chiropractic, epidural steroid injection, and psychological counselling. This paper seeks to gather data on the efficacy of different treatment modalities when used in conjunction with each other. Often patients are traumatised or develop anxiety about driving requiring counselling and therapy. The vast majority of …

Chronic Migraine: Role Of Cgrp Antagonists And Botox, Gabriella Hassan

Dissertations and Theses

Chronic migraine (CM) is characterized by the International Headache Society classification (ICHD-3) as headache that occurs for greater than or equal to 15 days a month, lasting 4 or more hours. For chronic migraine patients, the goal with prophylactic treatment is to prevent future attacks and reduce the migraine frequency and severity. OnabotulinumtoxinA is the most universally accepted medication for the treatment of chronic migraine; and if successful, reduces migraine frequency up to 50%. The goal of CGRP (Calcitonin-gene-related peptide) antagonists is to reduce the frequency of chronic migraines by targeting the CGRP protein that is elevated during a migraine …

Perception Of Healthcare Providers On Mirror Therapy For Stroke, Dhwani Kamlesh Doshi

Dissertations and Theses

Stroke is a very important health problem faced worldwide with high mortality and incidence. The majority of stroke survivors suffer temporary or permanent disabilities of which hemiparesis is one of the most common. Hemiparesis makes it difficult for patients to perform their activities of daily living and often they have declining quality of life. Mirror therapy (MT) is a an inexpensive, easy and safe intervention which has been proven to be very effective to improve the motor function in hemiparetic stroke. Despite this, it is not often employed. Hence, the purpose of this study was to explore the awareness and …

Digital Dentistry- The Future Of Oral Health, Vidhi Shah

Dissertations and Theses

Background and objective: In the digital world, dentistry appears to be at least a decade behind in adopting the latest technologies in comparison to consumer electronics, biomedical engineering and aeronautics. However, recently, dental professionals have experienced the evolution of the dental profession as technological growth. Digital dentistry is the future of dentistry, and it will be essential to adopt and integrate technology into practice to improve the quality of care. The new generation of digital dentistry opens the exploration of innovations and advancement in technologies which will dramatically impact and improve all of dentistry. The objective of this paper is …

Can The Kanban Technique Reduce Medical Errors?, Juhi Hegde

Dissertations and Theses

This study discusses common medical errors and the extent of harm caused in the United States and explores the application of the Kanban technique of Lean Management in the healthcare industry to reduce medical errors. It also describes various scenarios of how the visual scheduling/ signaling system has been incorporated for continuous process improvement in the clinical and non-clinical sectors of the industry based on several review articles. Furthermore, a survey study was performed in order to assess whether ‘Kanban Visual Management System’ utilization in healthcare has the ability to reduce medical errors. A convenience sample of healthcare providers was …

Analysis Of Delays In Processing Times In An Ophthalmology Clinic, Kai Yung Natalie Lui

Dissertations and Theses

Efficiency is an important component of any medical practice. It facilitates quality care, reduction in wait time, patient and staff satisfaction, and decreased cost. The purpose of this study was to identify bottlenecks in the current processing system in the Eye Center at Hershey Penn State Medical Center. Data was obtained about patients arriving at the clinic for ancillary tests such as visual field testing and retinal imaging. Analysis of this data revealed a statistically significant longer average length of visit for patients who received testing in comparison to those who did not. However, due to the small sample size …

The Effectiveness Of Transfer Learning Systems On Medical Images, James Boit

Masters Theses & Doctoral Dissertations

Deep neural networks have revolutionized the performances of many machine learning tasks such as medical image classification and segmentation. Current deep learning (DL) algorithms, specifically convolutional neural networks are increasingly becoming the methodological choice for most medical image analysis. However, training these deep neural networks requires high computational resources and very large amounts of labeled data which is often expensive and laborious. Meanwhile, recent studies have shown the transfer learning (TL) paradigm as an attractive choice in providing promising solutions to challenges of shortage in the availability of labeled medical images. Accordingly, TL enables us to leverage the knowledge learned …

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 …

Driver Persistence, Safety And Older Adult Self-Efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts, Joan Cahill, Katie Crowley, Sam Cromie, Alison Kay, Michael Gormley, Eamonn Kenny, Sonja Hermann, Ciaran Doyle, Ann Hever, Robert J. Ross

Conference papers

New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, the assisted driving concept follows from a principled/ethical perspective in relation to promoting self-efficacy and enablement for older adults. The system is conceptualized as a supportive friend or ‘co-pilot’. It is argued that the use of new car-based sensors, along with machine learning intelligence and novel multimodal HMI communication methods will …

Appraisal Of Free Online Symptom Checkers And Applications For Self-Diagnosis And Triage: An Australian Evaluation, Michella Gaye Hill

Theses: Doctorates and Masters

The internet has impacted society and changed the way companies and individuals operate on a daily basis. Seeking information online via computer or mobile device is common practice. The phrase ‘Google it’ is now part of modern vernacular and is a resource increasingly utilised by young and old alike. Around 80% of Australian’s search health-related information online as it is convenient, cheap, and available 24/7. Symptom checkers are one tool used by consumers to investigate their health issues. Symptom checkers are automated online programs which use computerised algorithms, asking a series of questions to help determine a potential diagnosis and/or …

Access To Pediatric Audiological Evaluation Facilities For Infants And Young Children In The United States: Results From The Ehdi-Pals System, Naveen K. Nagaraj, Emilee Mertens, Beula Magimairaj, Randi Winston Gerson, John Whicker, Karl R. White

Journal of Early Hearing Detection and Intervention

Early Hearing Detection and Intervention - Pediatric Audiology Links to Services (EHDI-PALS) is a web-based national directory of pediatric audiology facilities in the United States, created by an expert committee and launched in October 2012. In this study, data from 1,232 audiology facilities were analyzed to identify the number of registered facilities, types of diagnostic hearing tests offered, and the number of children under 5 years of age who were diagnosed with hearing loss. Some states had almost 15 times as many registered facilities as other states, suggesting that access to quality diagnostic hearing testing for infants and young children …

Artificial Intelligence And The Challenge For Rural Medicine, James Denvir

Marshall Journal of Medicine

Recent advances in artificial intelligence, machine learning, and deep learning are beginning to have an impact on everyday experiences, from natural language processing used in automated telephone call centers to semi-autonomous vehicles. These techniques have also been applied to medical care. In this editorial we discuss applications of AI to medicine and argue for a proactive approach to include rural medicine in this paradigm shift.

Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan

Physical Therapy Faculty Articles and Research

Decreased physical activity in obese individuals is associated with a prevalence of cardiovascular and metabolic disorders. Physicians usually recommend that obese individuals change their lifestyle, specifically changes in diet, exercise, and other physical activities for obesity management. Therefore, understanding physical activity and sleep behavior is an essential aspect of obesity management. With innovations in mobile and electronic health care technologies, wearable inertial sensors have been used extensively over the past decade for monitoring human activities. Despite significant progress with the wearable inertial sensing technology, there is a knowledge gap among researchers regarding how to analyze longitudinal multi-day inertial sensor data …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Early Identification And Intervention In Patients With Atrial Fibrillation Using An Implantable Cardiac Monitor To Significantly Improve Guideline-Based Anticoagulation Therapy In An Outpatient Cardiology Clinic, Lisa Alvarez

Dissertations

The purpose of this research was to (a) examine the demographics of patients receiving care in an outpatient cardiology clinic, (b) describe the relationship between the atrial fibrillation (AF) and other variables (e.g., BMI), (c) examine the frequency and the length of time to AF diagnosis in patients implanted with an implantable cardiac monitoring (ICM) device, (d) observe provider patterns of treatment with oral anticoagulants (OACs), and (e) investigate documented considerations to either diagnose or rule out OSA in a group of outpatient AF patients in a cardiology clinic.

Background: AF is largely undiagnosed but can cause major morbidity and …

The Capacity Of Eye-Tracking Technology To Determine Non-Diagnosed Adhd In Females, Rudi Johnson

Undergraduate Research Conference

The purpose of this study is to determine if eye-tracking technology can support self-reported symptoms of ADHD in a female-only college student sample.

Improving Access To Rare Disease Clinical Trials Through Telemedicine, Dylan Haynes, Christina Topham, Teri Greiling

OHSU-PSU School of Public Health Annual Conference

Introduction: Rare diseases affect nearly 400 million individuals worldwide. The geographic density of any single disease, however, can prohibit access to care and research efforts. Telemedicine has improved access barriers in the clinical setting, though its application in rare disease trials has not been evaluated.

Objective: To assess the impact on access to care of videoconferencing in a rare disease clinical trial.

Materials and Methods: Preliminary analysis was performed on the first five participants to complete our ongoing trial (NCT03485976) evaluating the efficacy of ixekizumab for the treatment of pityriasis rubra pilaris. Participants were required to travel to Oregon Health …

Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi

UNO Student Research and Creative Activity Fair

Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data …

Current And Future Antiviral Medications To Treat Influenza: Mechanisms Of Action, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Accuracy Of Wrist-Worn Activity Monitors During Common Daily Physical Activities And Types Of Structured Exercise: Evaluation Study., Ravi Kondama Reddy, Rubin Pooni, Dessi P. Zaharieva, Brian Senf, Joseph El Youssef, Eyal Dassau, Francis J. Doyle Iii, Mark A. Clements, Michael R. Rickels, Susana R. Patton, Jessica R. Castle, Michael C. Riddell, Peter G. Jacobs

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Wrist-worn activity monitors are often used to monitor heart rate (HR) and energy expenditure (EE) in a variety of settings including more recently in medical applications. The use of real-time physiological signals to inform medical systems including drug delivery systems and decision support systems will depend on the accuracy of the signals being measured, including accuracy of HR and EE. Prior studies assessed accuracy of wearables only during steady-state aerobic exercise.

OBJECTIVE: The objective of this study was to validate the accuracy of both HR and EE for 2 common wrist-worn devices during a variety of dynamic activities that …

The Chapman Bone Algorithm: A Diagnostic Alternative For The Evaluation Of Osteoporosis, Elise Levesque, Anton Ketterer, Wajiha Memon, Cameron James, Noah Barrett, Cyril Rakovski, Frank Frisch

Mathematics, Physics, and Computer Science Faculty Articles and Research

Osteoporosis is the most common metabolic bone disease and goes largely undiagnosed throughout the world, due to the inaccessibility of DXA machines. Multivariate analyses of serum bone turnover markers were evaluated in 226 Orange County, California, residents with the intent to determine if serum osteocalcin and serum pyridinoline cross-links could be used to detect the onset of osteoporosis as effectively as a DXA scan. Descriptive analyses of the demographic and lab characteristics of the participants were performed through frequency, means and standard deviation estimations. We implemented logistic regression modeling to find the best classification algorithm for osteoporosis. All calculations and …