Health Information Technology Commons^™

An Investigation On Non-Invasive Brain-Computer Interfaces: Emotiv Epoc+ Neuroheadset And Its Effectiveness, Md Jobair Hossain Faruk

Symposium of Student Scholars

Neurotechnology describes as one of the focal points of today’s research around the domain of Brain-Computer Interfaces (BCI). The primary attempts of BCI research are to decoding human speech from brain signals and controlling neuro-psychological patterns that would benefit people suffering from neurological disorders. In this study, we illustrate the progress of BCI research and present scores of unveiled contemporary approaches. First, we explore a decoding natural speech approach that is designed to decode human speech directly from the human brain onto a digital screen introduced by Facebook Reality Laband University of California San Francisco. Then, we study a recently …

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

Night Flight: Online Literary 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 …

Ion Pairing And Dielectric Decrement In Glycosaminoglycan Brushes, James D. Sterling, Wenjuan Jiang, Wesley M. Botello-Smith, Yun L. Luo

Business and Information Technology Faculty Research & Creative Works

Cell−surface polysaccharides are essential to many aspects of physiology, serving as a highly conserved evolutionary feature of life and as an important part of the innate immune system in mammals. Here, as simplified biophysical models of these sugar coatings, we present results of molecular dynamics simulations of hyaluronic acid and heparin brushes that show important effects of ion pairing, water dielectric decrease, and coion exclusion. As in prior studies of macromolecular crowding under physiologically relevant salt concentrations, our results show equilibria with electroneutrality attained through screening and pairing of brush anionic charges by monovalent cations at the atomistic detail. Most …

Physicians And Their Patience: Redefining Healthcare Relationships Through Readability Optimization, Rachel V. Ball

Honors Undergraduate Theses

The present study takes legibility research and extends it to the medical setting. Internal Medicine Physicians from UCF developed six passages of medical text detailing a History of Present Illness (HPI) Report from an emergency department as well as comprehension questions for the purpose of our study. In our study, we first presented non-medical passages and comprehension questions in six common fonts to identify participants' individual fastest and slowest fonts. We then gave participants medical passages in both their best and worst fonts while measuring reading speed and comprehension. This study was delivered to a population of Amazon Mechanical Turk …

Future Implications Of Telehealth In Post-Covid World, Sujatha Alla, Vijay Kumar Chattu

Engineering Management & Systems Engineering Faculty Publications

[Introduction] The recent global pandemic forced telehealth to play a greater role in global healthcare delivery due to limited healthcare accessibility. The advent of innovative communication technologies has made it easier for patients to get services like health assessment, diagnosis, interventions, supervision, and information remotely. Digital imaging, decision support software, virtual reality, machine learning for error reduction, Internet of Things (IoT) such as wearable sensors, assistive robots, advances in data management (tracking, transmission, and storage), real-time analytics or store-and-forward, are some of the dynamic technologies that provide strong evidence-based support to scalable and sustainable telehealth programs.

Bibliometric Survey On Effect Of Climate Factors On Spread Of Coronavirus (Covid-19), Seema Patil, Jay Makwana, Manish Attri

Library Philosophy and Practice (e-journal)

The new SARS-CoV-2 COVID-19 has spread quickly around the globe since it was first reported in Wuhan city of China, in December 2019 subsequent to being contracted from a zoonotic source. The main focus of this bibliometric survey is to recognize the few studies which have upheld the epidemiological hypothesis that the effect of climatic factors is playing a crucial role in the spreading of COVID-19. The analysis is done on the basis of 412 documents such as journals, articles, editorials, short surveys and some review papers. The United States contributes to the maximum number of publications followed by the …

Bibliometric Survey On Effects Of Climate Change On Incidences Of Infectious Diseases, Seema Harshad Patil, Yatharth Jain, Vedant Marathe

Library Philosophy and Practice (e-journal)

^{For understanding the influx of Infectious Diseases, research of climate change and its effects pertaining to the diseases is important. The motive of this bibliometric survey is to understand the research which has been carried out regarding the aforementioned topics. This paper summarizes the research in the 21st Century from 2001 to present. We conducted this analysis using tools such as Gephi, Researchgate, Scopus, ScienceScape, Google Scholar and Mapchart. This Bibliometric Survey on “Effects of Climate Change on Infectious Diseases” showed that maximum publications are articles. These publications are from conferences and journals related to Environmental Science. The United States …}

Docs_On_Blocks – A Defense In Depth Strategy For E-Healthcare, Saad Mohammed

Electronic Theses, Projects, and Dissertations

With the increase in the data breaches and cyber hacks, organizations have come to realize that cyber security alone would not help as the attacks are becoming more sophisticated and complex than ever. E-Healthcare industry has shown a promising improvement in terms of security over the past, but the threat remains. Thus, the E-Healthcare industries are aiming towards a Defense in Depth Strategy approach.

The project here describes how a Defense in Depth Strategy for E-Healthcare system can provide an environment for better security of the data and peer-to-peer interaction with stakeholders. The legacy systems have at some point failed …

Dictionary-Based Diabetes Distress Detection Mechanism Using Facebook Reactions, Marian Cynthia Martin

Student Works (2020-2029)

Over the last decade, the internet has paved the way for Facebook to become the digital hub for social networking transforming the ways of sharing information carrying rich and valuable information of users’ perspectives. Facebook support groups compromised of online diabetes communities facilitates users to connect to different people with similar conditions and share information wrapped in their own sentiments and emotions. Diabetes being a major life threatening health issue, results in diabetes distress among the online diabetes community. However, the detection of diabetes distress had been carried out manually using surveys and questionnaires, accentuating the lack of studies in …

It Governance For Balancing Evolveability And Standardization In Health Information System Implementation In Ethiopian Context, Birkinesh Lagebo, Birkinesh Lagebo, Mark Gaynor Prof., Temtim Assefa Dr

African Conference on Information Systems and Technology

Failing to balance standardization and evolveability in IS design and implementation process results sustainability failure which is common in developing country. IS research provides various IS design solution including layered modular architecture to address both evolveability and standardization simultaneously. However, this design solution requires appropriate IT governance mechanisms which lacks both theoretical and empirical explanation in IS research. The core of this research is understanding IT governance mechanism design that can balance standardization and evolveability in the course of IS design and implementation. The research uses the case of District Health Information System-2 (DHIS-2), layered modular architecture, design and implementation …

Mining User-Generated Content Of Mobile Patient Portal: Dimensions Of User Experience, Mohammad Al-Ramahi, Cherie Noteboom

Research & Publications

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic’s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted …

Ml-Medic: A Preliminary Study Of An Interactive Visual Analysis Tool Facilitating Clinical Applications Of Machine Learning For Precision Medicine, Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo, Erik Linstead

Engineering Faculty Articles and Research

Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Care (ML-MEDIC), a point-and-click, interactive tool with a visual interface for facilitating machine learning and statistical analyses in clinical research. We deployed ML-MEDIC in the American Heart Association (AHA) Precision Medicine Platform to provide secure internet access and facilitate collaboration. ML-MEDIC’s efficacy for facilitating the adoption of machine learning was evaluated through two case studies in collaboration with clinical domain experts. A domain expert review was also …

Barn-Raising On The Digital Frontier: The L.A.U.N.C.H. Collaborative, Bradford W. Hesse, David Ahern, Michele Ellison, Eliah Aronoff-Spencer, Robin C. Vanderpool, Karen Onyeije, Michael C. Gibbons, Timothy W. Mullett, Ming-Yuan Chih, Victoria Attencio, Grant Patterson, Jessica Boten, Christopher Hartshorn, Ben Bartolome, Katie Gorscak, Melanie Mccomsey, Alexandra Hubenko, Bin Huang, Corey Baker, Don Norman

Journal of Appalachian Health

A meta-analysis of oncology papers from around the world revealed that cancer patients who lived more than 50 miles away from hospital centers routinely presented with more advanced stages of disease at diagnosis, exhibited lower adherence to prescribed treatments, presented with poorer diagnoses, and reported a lower quality of life than patients who lived nearer to care facilities. Connected health approaches—or the use of broadband and telecommunications technologies to evaluate, diagnose, and monitor patients beyond the clinic—are becoming an indispensable tool in medicine to overcome the obstacle of distance.

Retrospective Study Of Fmol Health System Utilization Using Geospatial Information, Deekshith Mandala

LSU Master's Theses

Medicaid Expansion and closing of Emergency Departments (ED) like Earl K. Long, Baton Rouge General Mid-City ED, and Champion Medical Center changed the health care landscape in East Baton Rouge Parish (EBRP). In this research study, a Geographical Information System (GIS) is used to analyze the impact of the expansion of Medicaid and the inauguration of Our Lady of the Lake North Baton Rouge ED (OLOL NBR ED) over the utilization of Franciscan Missionaries of our Lady Health System (FMOLHS) for both emergency and non-emergency health care services. This study is performed across the 58 neighborhoods of EBRP. Overutilization of …

Mobile Health Technology To Enhance Healthcare Service Delivery In Developing Nations (Saudi Arabia), Nawaf Khan

Electronic Theses and Dissertations, 2020-2023

Saudi Arabia is among the countries that have very high prevalence rates of diabetes and hypertension, with prevalence rates of almost 18% and 25%, respectively. The majority of patients with diabetes and hypertension fail to manage their diseases and to show up for their follow up appointments. Mhealth technology is among the interventions that have been recently adopted to overcome these issues and improve the quality of healthcare services. This study aims to evaluate the effectiveness of a mobile phone application named diabetes and hypertension application (DHA Tracking) to promote adherence for patients with diabetes and hypertension in Mecca, Saudi …

Internet Of Things For Sustainable Human Health, Abdul Salam

Faculty Publications

The sustainable health IoT has the strong potential to bring tremendous improvements in human health and well-being through sensing, and monitoring of health impacts across the whole spectrum of climate change. The sustainable health IoT enables development of a systems approach in the area of human health and ecosystem. It allows integration of broader health sub-areas in a bigger archetype for improving sustainability in health in the realm of social, economic, and environmental sectors. This integration provides a powerful health IoT framework for sustainable health and community goals in the wake of changing climate. In this chapter, a detailed description …

Design And Development Of A Comprehensive And Interactive Diabetic Parameter Monitoring System - Betictrack, Nusrat Chowdhury

Electronic Theses and Dissertations

A novel, interactive Android app has been developed that monitors the health of type 2 diabetic patients in real-time, providing patients and their physicians with real-time feedback on all relevant parameters of diabetes. The app includes modules for recording carbohydrate intake and blood glucose; for reminding patients about the need to take medications on schedule; and for tracking physical activity, using movement data via Bluetooth from a pair of wearable insole devices. Two machine learning models were developed to detect seven physical activities: sitting, standing, walking, running, stair ascent, stair descent and use of elliptical trainers. The SVM and decision …

Systems, Apparatus And Method For Material Preparations And / Or Handling, Robert Doebler, Ali Nadim, James D. Sterling, Anna Hickerson, Barbara Erwin, Denice Woyski, Ryan P. Talbot, Bruce Irvine

Business and Information Technology Faculty Research & Creative Works

Oscillating angularly rotating a container containing a mate rial may cause the material to be separate. Denser or heavier material may unexpectedly tend to be collected relatively close to the axis of rotation, while less dense or light material may tend to collect relatively away from the axis of rotation. Oscillation along an arcuate path provides high lysing efficiency. Alternatively, a micromotor may drive an impeller removably received in a container. Lysing may be implemented in batch mode, flow - through stop or semi-batch mode, or flow - through continuous mode. Lysing particulate material may exceed material to be lysed …

Forecasting Model For Disease Propensity Using Ehr Data, Soodabeh Sarafrazi, Omar Sharif, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, Anil Kemisetti

Creative Activity and Research Day - CARD

Many diseases such as diabetes and cardiovascular diseases are actionable, i.e. they are preventable by early intervention. One to two years of early warning would represent a huge advance in dealing with these conditions and could help prevent further complications such as heart disease, stroke, kidney failure, blindness, and amputation. In this project, we are developing an extensible condition forecasting model to assess the risk of diabetes and heart problems in patients in advance. Using TensorFlow, Elastic MapReduce (EMR), and AWS Sagemaker, we are training a Wide and Deep Neural Network on a dataset of more than 170 million electronic …

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 …

Towards Multi-Lingual Pneumonia Research Data Collection Using The Community-Acquired Pneumonia International Cohort Study Database, William A. Mattingly, Kimberley A. Buckner, Senen Pena

The University of Louisville Journal of Respiratory Infections

Background: Although multilingual interfaces are preferred by most users when they have a choice, organizations are often unable to support and troubleshoot problems involving multiple user languages. Software that has been structured with multiple languages and data interlinking considerations early in its development is more likely to be easily maintained. We describe the process of adding multilingual support to the CAPO international Cohort study database using REDCap.

Methods: Using Google Translate API we extend the supported Spanish language version of REDCap to the most recent version used by CAPO, 8.1.4. We then translate the English data dictionary for CAPO to …

Clinical Research In Pneumonia: Role Of Artificial Intelligence, Timothy L. Wiemken, Robert R. Kelley, William A. Mattingly, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Shaping The Future Of Trusted Digital Identity: The Idef Registry With Health Information Use Cases, Noreen Y. Whysel

Publications and Research

No abstract provided.

Mobile Iot Adoption As Antecedent To Care-Service Efficiency And Improvement: Empirical Study In Healthcare-Context, Samyadip Chakraborty, Vaidik Bhatt

Journal of International Technology and Information Management

Internet of things (IoT) is the buzzword and pioneering breakthrough approach highlighted in today’s industry 4.0, where the devices are seamlessly integrated with each other, sharing vital information in real-time sync. With the wearable IoT devices, the diagnostic readings and physical measurements of the patients can be shared with the physician on the go and suitable diagnosis can as well be shared with patient in the real-time on their own mobile devices through IoT applications. This study empirically examines the importance of m-IoT adoption on the information pervasiveness across the network and patient stakeholders and in turn investigating how efficiency …

Exploring Structure-Property Relationships Of Gags To Tailor Ecm-Mimicking Hydrogels, Ralf Zimmermann, Carsten Werner, James Sterling

Business and Information Technology Faculty Research & Creative Works

Glycosaminoglycans (GAGs) are a class of linear polysaccharides that are ubiquitous in the extracellular matrix (ECM) and on cell surfaces. Due to their key role in development, homeostasis, pathogenesis, and regeneration, GAGs are increasingly used in the design of ECM-mimicking hydrogels to stimulate tissue formation and regenerative processes via specifically orchestrated cell-instructive signals. These applications first and foremost build on the ability of GAGs to effectively bind, protect, and release morphogens. The specificity and strength of morphogen-GAG interactions are largely governed by the number and spatial distribution of negatively charged sulfate groups carried by GAGs. Herein, we summarize a mean-field …

Arrayed Lyser And Homogenizer Systems With Multiple Agitator Devices, Robert W. Doebler, Mark Brown, Tanya Ferguson, Bruce Irvine, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Systems and methods for the efficient agitation of tissue samples. A device may include a plurality of chambers that each receives samples therein. The plurality of chambers may be uniformly spaced with respect to a least one dimension, to form a one dimensional or two-dimensional array. Each of the chambers may include an opening and an agitator device in fluid contact with the sample disposed within the chamber. The agitator devices may include a micromotor which provides rotational motion to a shaft and an impeller fixed to the shaft such that the impeller and the shaft rotate together upon provision …

Surgical And Medical Applications Of Drones: A Comprehensive Review, James C. Rosser, Vudatha Vignesh, Brent A. Terwilliger, Brett C. Parker

Publications

Background: Drones have the ability to gather real time data cost effectively, to deliver payloads and have initiated the rapid evolution of many industrial, commercial, and recreational applications. Unfortunately, there has been a slower expansion in the field of medicine. This article provides a comprehensive review of current and future drone applications in medicine, in hopes of empowering and inspiring more aggressive investigation. Database: A literature search was performed by EBSCO (Elton B. Stephens Company) Discovery Service, searching the phrases "drones," "UAV," "unmanned aerial vehicles," "UAS," and "unmanned aerial systems." A second search was used to identify sources that contained …

Surgical And Medical Applications Of Drones: A Comprehensive Review, Brent Terwilliger, James C. Rosser Jr., Vudatha Vignesh, Brett C. Parker

Publications

Drones have the ability to gather real time data cost effectively, to deliver payloads and have initiated the rapid evolution of many industrial, commercial, and recreational applications. Unfortunately, there has been a slower expansion in the field of medicine. This article provides a comprehensive review of current and future drone applications in medicine, in hopes of empowering and inspiring more aggressive investigation.

A Continuum Model Of Mucosa With Glycan-Ion Pairing, James D. Sterling, Shenda M. Baker

Business and Information Technology Faculty Research & Creative Works

Advances in the study of glycosoaminoglycan biohydrogels, label-free electrokinetic analysis of soft-diffuse layers in contact with saline solutions, and elucidation of ion-specific behavior in many biochemical systems offer the opportunity to marry these principal features in a new mathematical model of the mucosal glycocalyx. The model is based on the electroquasistatic subset of Maxwell's equations in the form of the steady-state continuum Poisson–Boltzmann equation for electrostatics with explicit incorporation of pairwise binding of ions to fixed charged-groups in the hydrogel. The pairwise association is modeled using reversible bimolecular reactions via stoichiometric dissociation constants that represent the rule of matching water …

Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha

Electronic Theses and Dissertations

Individuals with chronic conditions are the ones who use health care most frequently and more than 50% of top ten causes of death are chronic diseases in United States and these members always have health high risk scores. In the field of population health management, identifying high risk members is very important in terms of patient health care, disease management and cost management. Disease management program is very effective way of monitoring and preventing chronic disease and health related complications and risk management allows physicians and healthcare companies to reduce patient’s health risk, help identifying members for care/disease management along …