Health Information Technology Commons^™

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …

Exploration Of The Implementation Of An Integrated Electronic Laboratory Information Management System On Quality Diagnostics Service Indicators At A County Level Public Hospital In Western Kenya., Kelly Allen

Capstone Collection

Underinvestment in pathology and laboratory capacity caused by low visibility in research and in prioritization by public health leaders results in limited effective healthcare coverage and an estimated 1.1 million premature deaths annually in Low-and-Middle-Income Countries. Kenya’s public health laboratories provide a median 41% of the Essential Diagnostic List to their patients and in Kisumu County, as much as 44.2% of the population has little to no access to essential diagnostics. The government of Kisumu implemented the county Health Laboratory Strategic Plan 2018-2022 to address this public health challenge. Little information exists on the effectiveness of these initiatives and the …

Neurocomputing And Interfacing Digital Tasting System: Research, Design, And Evaluation, Amira J. Zaylaa, Ahmad El Hajj

BAU Journal - Science and Technology

The continuous evolution in computing and interfacing has been extended to develop multi-sensory experiences in many domains such as neurological, auditory, vision, and haptic domains. So far, only a few remarkable system approaches have been approved to be serving the taste sensation digitally. Although taste sensation is linked to the brain, there is a lack of optimal neurocomputing digital taste sensation systems. Our study provides a new neurocomputing method to digitally stimulate the sense of taste by electrical stimulation on the human tongue. We aim to link chemical stimulation and electrical stimulation in order to design an electronic interface for …

Predictive Ability Of A 3d Body Scanning Mobile Application For Metabolic Health Risk, Caleb Brandner

Master's Theses

There is an increasing prevalence of obesity within the US and rising rates of metabolic syndrome among those aged 20-39 concurrent with a decrease in the reception of primary care. Limitations to healthcare including access, cost, and availability, highlighting the need for simple, efficient, and accessible cardiometabolic health risk screening. Given the surge in smartphone ownership over the last decade, this study sought to determine the predictive ability of a mobile 3D-optical (3DO) body composition assessment application in determining metabolic health risk. A total of 62 participants (female: 36) underwent traditional anthropometric measurements, 3DO body scanning using a smartphone application, …

Using Critical Incident Debriefing After Code Blue Events To Support Registered Nurses, David L. Boyd

Doctor of Nursing Practice (DNP) Projects

Using Critical Incident Debriefing after Code Blue Events to Support Registered Nurses

Section I: Abstract

Background: During a code blue event (CBE), the environment becomes highly stressful and intense. Nurses rapidly transition from performing life-saving procedures on their patients to carrying out their usual duties. Without proper debriefing, nurses cannot properly process their emotions leading to increased burnout and secondary traumatic stress (Stamm, 2010).

Local Problem: In 2021, the nurses at Providence Saint John’s Health Center (2021a) responded to 110 CBEs, a 43% increase from 2020. Without a process for critical incident debriefing (CID), these nurses were exposed to trauma …

Respire: A Technological Tool To Navigate Mechanical Ventilation In Patient Care And Educational Settings, Swara Chokshi

Undergraduate Research Posters

Around the world, more than 20 million patients rely on mechanical ventilators annually; however, not enough individuals understand how to operate ventilators, posing a risk to the health of many. Moreover, it is increasingly difficult to determine optimal mechanical ventilator settings in a timely fashion, especially in low-resource countries and critical care areas. Respire is a mobile application that bridges this gap in a twofold manner: it is designed to assist healthcare workers around the world navigate and use mechanical ventilators effectively as well as educate the general public about mechanical ventilation. Respire offers a user-friendly yet educational interface that …

Evaluating College Students’ Health Literacy And Its Effects On Their Perceptions Of Information Concerning Mask-Wearing In The Covid-19 Pandemic Ve Information Concerning Mask-Wearing In The Covid-19 Pandemic, Hannah S. Ketchum

Honors Program Projects

Background: Mask-wearing was a controversial and polarizing phenomenon during the COVID-19 pandemic. Beliefs concerning mask-wearing differed depending on sources of information concerning the pandemic, levels of health literacy, political leaning, demographics, or other factors. This project attempted to connect college students’ level of health literacy to their understanding of and adherence to mask-wearing in the COVID-19 pandemic. There is a gap in research connecting health literacy to understanding information concerning pandemics and an even bigger lack of studies conducted that relate college students’ health literacy to their perception of illnesses or pandemics. It is important to understand the impact of …

Application In Medicine: Has Artificial Intelligence Stood The Test Of Time, Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigar, Samira Shabbir Balouch, Sajid Abaidullah

Medical College Documents

Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers …

The Effectiveness Of Facebook As A Social Network Intervention To Increase Physical Activity In Chinese Young Adults, Patrick W.C. Lau, J. J. Wang, Lynda B. Ransdell, Lei Shi

Kinesiology Faculty Publications and Presentations

Introduction: Facebook, one of the worlds' most popular online social networks, is easy to access and cost-effective. Its use to enhance individual's physical activity (PA) participation should be examined. This research reviews the effectiveness and successful features of Facebook for influencing PA behaviors in young adults (Study 1), and empirically examines the efficacy of the features purported in increase PA via a Facebook intervention (Study 2).

Methods: In Study 1, PubMed, Medline, SPORT Discus, ERIC, and Embase were searched for articles that identified successful features and effectiveness of Facebook PA interventions published between January 2005 and February 2022. In Study …

Design And Development Of The Urban Population Health Observatory To Improve Disease Surveillance And Response, Whitney Brakefield

Doctoral Dissertations

Chronic and infectious diseases have a profound impact on the quality and length of life of populations that suffer from these conditions. Scientists, physicians, and health officials are seeking innovative approaches to decrease the morbidity and mortality of deadly diseases. Incorporating artificial intelligence and data science techniques across the health science domain could improve disease surveillance, intervention planning, and policymaking. In this dissertation, we describe the design and development of the Urban Population Health Observatory (UPHO), an explainable knowledge-based multimodal big data analytics platform. A common challenge for conducting multimodal big data analytics is integrating multidimensional heterogeneous data sources, which …

Student Sleep Patterns When Exposed To Mindfulness Reminders, Zeyanna Dhalla

Undergraduate Honors Theses

University students are plagued with increased levels of stress and anxiety which can lead to poor sleep quality and quantity. Breathing techniques have demonstrated counteractive effects to the chronic stresses that the population encounters on an everyday basis. Wearable technology, such as Apple Watches, contain a mindfulness feature that encourages its users to pause throughout the day and engage in mindfulness through resonant breathing. Wearable technology has become increasingly accessible and is also growing in accuracy to measure different biometrics such as sleep quality and quantity. The purpose of the present study was to examine if the mindfulness reminders initiated …

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …

Implementation Of A Drive-Through Covid-19 Mass Vaccination Site: Experiences From Louvax–Broadbent In Louisville, Kentucky, Ruth Carrico, Sarah Beth Hartlage, Valenchia Brown Msn, Aprn, Fnp-C, Sarah M. Bishop, Luanne Didelot, William Hayden, Beverly Williams Coleman, Sarah Tan, Delanor Manson, Kellie Kane, Dawn Balcom, Paul Kern

The University of Louisville Journal of Respiratory Infections

Background: Response to the COVID-19 pandemic has required innovative approaches to vaccination, including methods to rapidly and safely immunize communities. A major challenge to such a response involved access to untapped healthcare worker resources. The Louisville, Kentucky, response involved the use of a large volunteer workforce to supplement local public health employees in planning and implementing a large-scale drive-through vaccination event. The objective of this manuscript was to outline processes involved in training a mass immunization workforce and implementating a large-scale COVID-19 community vaccination.

Approach: Competency-based and standardized training was provided for every volunteer before working their shift. Volunteers worked …

Innovations In Surgery Between The Past And Future: A Narrative Review Of Targeted Literature, Obada Hasan, Ahmed Ayaz, Laiba Masood, Abdul Mannan Baig, Naveed Baloch

Medical College Documents

Innovation is the introduction of a new method or technology designed to change the way things are done. History is full of remarkable innovations in surgery over the years as surgeons have always been innovating and pioneering latest techniques and equipment that can benefit the mankind. Though persistent, progress has been far from uniform. Despite all the bells and whistles that these innovations bring to the table, the little acknowledged fact is that they are only accessible to a very small proportion of the global population. Five billion people on this planet do not even have access to an operating …

Patterns Of Genomic Testing For Epithelial Ovarian Cancer Across A Large Community-Based Health Care Network- A Real World Experience, Nicole M. Kretzer, Fernanda B. Musa, Christopher Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher

All Podium Presentations

Background: NCCN guidelines recommend germline and somatic tumor testing for all women with invasive epithelial ovarian cancer (EOC). Despite this recommendation, testing rates remain low and an optimal strategy to achieve the recommended testing has not been defined.

Purpose: We elected to review the patterns of germline and somatic tumor testing for patients with EOC across a large health care network to identify barriers to testing.

Methods: Clinical, pathologic, demographic and genomic testing (GT) information including involvement of a genetic counselor, specific test(s) ordered, test vendor, test turn-around time, and test results were obtained from the diverse dataset within the …

A Review Of Mobile Apps For Chronic Kidney Disease Patients, Clarisse Zigan, Carl Russell Iii, Kirsten Wozniak, Kshaunish Soni

The Journal of Purdue Undergraduate Research

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 …

The Age Of Artificial Intelligence: Use Of Digital Technology In Clinical Nutrition, Berkeley K. Limketkai, Kasuen Mauldin, Natalie Manitius, Laleh Jalilian, Bradley R. Salonen

Faculty Research, Scholarly, and Creative Activity

Purpose of review

Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition.

Recent findings

Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The …

Exploring The Usefulness Of Mindfulness Practices Through Zoom Meetings In Reducing Anxiety And/Or Stress Of Adults With Learning And Developmental Disabilities During The Covid-19 Pandemic, Thatiane Abra

Expressive Therapies Capstone Theses

This thesis explored which mindfulness meditations or mindfulness practices could be beneficial in the online sessions, the extent to which adults with learning and developmental disabilities could learn the practices remotely, and how stress and anxiety disorders could be reduced through online mindfulness interventions. Furthermore, it was also necessary to address the online sessions as the only mental health treatment possibility during the Coronavirus pandemic for the clients observed and the benefits and limitations of these interventions. Additionally, the importance of structure and routine for this population, the multi-modal structure of the interventions, and how attunement plays an important role …

The Probability Of Success-Through Fault Tree Analytical Binomial Result, Tyleka Riddle

Night Flight Journal

Prestigious Appeal Rule of Thumb (Ear Drum Plugs)

In truant fashion, with proven accidental probabilistic perception for proposed cued facial expression recognition and voice commands without filtering. The estimated cost analysis for design and development generated from the enhanced project in the word "no”: Additionally, an audio noise effect size (ES) for desired level of comprehensive sensory receptors in sound reference to noisy party syndrome. Sytoss, (2019) "Resulting in a cocktail party theory for chalkboard distinction and conversation with applied facial recognition. As well as, the enhanced project management tool, EPMT, to provide output and input determination for higher-level acoustic …

Reach, Effectiveness, Adoption, And Maintenance Of Mobile Electronic Clinical Decision Support Tools Deployed As Part Of National Quality Improvement Projects, Ellen K. Kerns

Theses & Dissertations

Electronic clinical decision support (ECDS) tools are often developed within quality improvement (QI) projects to increase adherence with the latest clinical practice guidelines. However, the potential reach and maintenance of ECDS use beyond the time and location of their associated project are very limited. Deploying ECDS using a mobile app (mECDS) has shown the potential to be a viable method of overcoming these limitations. However, it is unclear what pattern the reach and adoption of such a tool might follow and what effect this use has on clinical practice. Our team developed an app which contained two different mECDS tools …

H1n1 Influenza Virus (Swine Flu): A Comprehensive Insight Into Escalating Catch-22 Scenarios, Muhammad Shahzaib, Ehsan Ul Haq

The University of Louisville Journal of Respiratory Infections

Introduction: Viruses have always been a major cause of various disastrous pandemics in mankind’s history. H1N1 became a threat when its original strain was first discovered back in the swine flu pandemic of 2009. It became highly catastrophic on a large scale because none of the therapeutic interventions and methodologies that were already present at the time were effective against the virus.

Methods: A vast amount of literature and research is available regarding H1N1 influenza from different reputable sources online. The data were gathered with the contrasting and relative situations of 1918 and 2009 pandemics in mind. The overall extracted …

Text Mining To Identify The Origin Of Chronic Wasting Disease, G. Webb

Faculty Research, Scholarly, and Creative Activity

Chronic wasting disease (CWD) is a 100 percent fatal, prion disease of deer that has the potential to decimate the deer population and jump to the human population. A simple Google search on the “origin of chronic wasting disease” yielded a total of 56 relevant articles. Of these, 75 percent report that the origin is unknown, 19.6 percent report that the disease may have originated in a Fort Collins, Colorado, government research facility, and 5.4 percent report other possible origins. Government sources reported the Fort Collins theory 4.3 percent of the time while non-governmental sources, such as news articles, reported …

Missing Lateral Relationships In Top‑Level Concepts Of An Ontology, Ling Zheng, Yan Chen, Hua Min, P. Lloyd Hildebrand, Hao Liu, Michael Halper, James Geller, Sherri De Coronado, Yehoshua Perl

Publications and Research

Background: Ontologies house various kinds of domain knowledge in formal structures, primarily in the form of concepts and the associative relationships between them. Ontologies have become integral components of many health information processing environments. Hence, quality assurance of the conceptual content of any ontology is critical. Relationships are foundational to the definition of concepts. Missing relationship errors (i.e., unintended omissions of important definitional relationships) can have a deleterious effect on the quality of an ontology. An abstraction network is a structure that overlays an ontology and provides an alternate, summarization view of its contents. One kind of abstraction network is …

Outlier Concepts Auditing Methodology For A Large Family Of Biomedical Ontologies, Ling Zheng, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl, George Hripcsak

Publications and Research

Background: Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concepts. For ontologies that have outgoing lateral relationships, we have developed the "partial-area taxonomy" summarization network. Prior research has identified one kind of outlier concepts, concepts of small partials-areas within partial-area taxonomies. Previously we have shown that the small partial-area technique works successfully for four ontologies (or their hierarchies).

Methods: To improve the Quality Assurance (QA) scalability, a family-based QA framework, where one QA technique is potentially applicable to …

Validity And Reliability Of Physiological Data In Applied Settings Measured By Wearable Technology: A Rapid Systematic Review, Bryson Carrier, Brenna Barrios, Brayden D. Jolley, James W. Navalta

Kinesiology and Nutrition Sciences Faculty Publications

The purpose of this review was to evaluate the current state of the literature and to identify the types of study designs, wearable devices, statistical tests, and exercise modes used in validation and reliability studies conducted in applied settings/outdoor environments. This was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We identified nine articles that fit our inclusion criteria, eight of which tested for validity and one tested for reliability. The studies tested 28 different devices with exercise modalities of running, walking, cycling, and hiking. While there were no universally common analytical techniques used …

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, …

Combining Deep Learning With Token Selection For Patient Phenotyping From Electronic Health Records., Zhen Yang, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib

Articles, Abstracts, and Reports

Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of health related clinical information about patients. However, text data from eHRs, e.g., discharge summary notes, are challenging in their analysis because these notes are free-form texts and the writing formats and styles vary considerably between different records. For this reason, in this paper we study deep learning neural networks in combination with natural language processing to analyze text data from clinical discharge summaries. We provide a detail analysis …

Global Interest For Health Professions Education: A Geographic And Temporal Analyses Through Web Search Differences From 2010-2019, Junhel Dalanon, Yoshizo Matsuka

Internet Journal of Allied Health Sciences and Practice

Purpose: The purpose of this study was to analyze the spatio-temporal differences in web search trends for dental degrees (DD), medical degrees (MD), and nursing degrees (ND) across 197 countries from 2010 to 2019. Method: A search string was used to initiate a search query using Google Trends. The parameters used were DD, MD, and ND as search terms; worldwide as Location; 2010 to 2019 as time range; health education & medical training as category; and web search as database. Data were downloaded and analyzed. Results: Via one-way ANOVA and post hoc Dunnett test, the searches for DD were found …