Databases and Information Systems Commons^™

Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham

Walden Dissertations and Doctoral Studies

AbstractAfter organizations successfully adopt the internet of things (IoT) technology, many corporate information technology (IT) leaders face challenges during the implementation phase. Corporate IT leaders' potential failures in implementing IoT devices may impede organizations from integrating IoT solutions and promoting business benefits. Grounded in technology-organization-environment (TOE) theory, the purpose of this qualitative, pragmatic inquiry study was to explore strategies that corporate IT leaders use to implement IoT technology in their organizations. The participants were six corporate healthcare IT leaders who successfully used implementation strategies for implementing IoT solutions for their organizations. Data were collected using semistructured interviews and industry security …

Digital Strategies To Improve The Performance Of Pharmaceutical Supply Chains, Manish Shashi

Walden Dissertations and Doctoral Studies

Some supply chain managers at pharmaceutical companies lack strategies to digitalize integrated supply chain systems impacting their profitability. Digitalized supply chain management in a pharmaceutical company can help reduce operation costs, improve assets, enhance shareholders’ value, positively respond to customer demand, and generate profits. Guided by the theory of constraints, the purpose of this qualitative multiple case study was to explore strategies some pharmaceutical managers use to digitalize integrated supply chain systems to increase their profitability. The participants were five managers from four pharmaceutical companies in New Jersey with strategies to digitalize their integrated supply chain systems. Data collection included …

Relationship Between Information System Success Model Dimensions And Electronic Health Records Use, Gloria Oshegbo

Walden Dissertations and Doctoral Studies

The rise in the use of electronic health records (EHRs) in health care facilities necessitates a standardized tool for evaluating their effectiveness. Delone and McLean’s information system success model (ISSM) was the theoretical foundation, which consists of seven dimensions namely system, information, service qualities, user satisfaction, use, system usefulness, and net benefits. The purpose of this study was to examine EHRs’ efficiency and identify ISSM dimensions that influenced net benefits, the dependent variable. The research questions examined the relationship between dimensions of ISSM and the dimensions that affect net benefits. Participants were recruited using purposeful sampling via social media and …

Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham

Walden Dissertations and Doctoral Studies

AbstractAfter organizations successfully adopt the internet of things (IoT) technology, many corporate information technology (IT) leaders face challenges during the implementation phase. Corporate IT leaders' potential failures in implementing IoT devices may impede organizations from integrating IoT solutions and promoting business benefits. Grounded in technology-organization-environment (TOE) theory, the purpose of this qualitative, pragmatic inquiry study was to explore strategies that corporate IT leaders use to implement IoT technology in their organizations. The participants were six corporate healthcare IT leaders who successfully used implementation strategies for implementing IoT solutions for their organizations. Data were collected using semistructured interviews and industry security …

Increasing Nurse Leader Knowledge And Awareness Of Information And Communication Technologies, Cory Stephens

Walden Dissertations and Doctoral Studies

Due to the recent coronavirus disease (COVID-19) pandemic, rapid technological innovation and nursing practice transformation exposed a deepening divide in the knowledge and awareness of information and communication technologies (ICT) among nurses. This technological skills gap undermines the benefits of ICT to nursing practice such as increased nurse satisfaction, improved care quality, and reduced costs. Nurse leaders are positioned to promote the use of ICT among nurses but may suffer from the same knowledge deficit of ICT as their followers. Guided by Locsin’s technological competencies as caring in nursing theory, Staggers and Parks’ nurse-computer interaction framework, and Covell’s nursing intellectual …

Evaluating Technology-Mediated Collaborative Workflows For Telehealth, Christopher Bondy Ph.D., Pengcheng Shi, Pamela Grover Md, Vicki Hanson, Linlin Chen, Rui Li

Articles

Goals: This paper discusses the need for a predictable method to evaluate gains and gaps of collaborative technology-mediated workflows and introduces an evaluation framework to address this need. Methods: The Collaborative Space Analysis Framework (CS-AF), introduced in this research, is a cross-disciplinary evaluation method designed to evaluate technology-mediated collaborative workflows. The 5-step CS-AF approach includes: (1) current-state workflow definition, (2) current-state (baseline) workflow assessment, (3) technology-mediated workflow development and deployment, (4) technology-mediated workflow assessment, (5) analysis, and conclusions. For this research, a comprehensive, empirical study of hypertension exam workflow for telehealth was conducted using the CS-AF approach. Results: The CS-AF …

Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed

The University of Louisville Journal of Respiratory Infections

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), famously known as COVID-19, has quickly become a global pandemic. Chest X-ray (CXR) imaging has proven reliable, fast, and cost-effective for identifying COVID-19 infections, which proceeds to display atypical unilateral patchy infiltration in the lungs like typical pneumonia. We employed the deep convolutional neural network (DCNN) ResNet-34 to detect and classify CXR images from patients with COVID-19 and Viral Pneumonia and Normal Controls.

Methods: We created a single database containing 781 source CXR images from four different international sub-databases: the Società Italiana di Radiologia Medica e Interventistica (SIRM), the GitHub Database, the …

Integration Of Internet Of Things And Health Recommender Systems, Moonkyung Yang

Electronic Theses, Projects, and Dissertations

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch …

Channel Integration Services In Online Healthcare Communities, Anqi Zhao, Qian Tang

Research Collection School Of Computing and Information Systems

In online healthcare communities, channel integration services have become the bridge between online and offline channels, enabling patients to easily migrate across channels. Different from pure online services, online-to-offline (On2Off) and offline-to-online (Off2On) channel integration services involve both channels. This study examines the interrelationships between pure online services and channel integration services. Using a panel dataset composed of data from an online healthcare community, we find that pure online services decrease patients’ demand for On2Off integration services but increase their use of Off2On integration services. Our findings suggest that providing healthcare services online can reduce online patients’ needs to visit …

Managing Incomplete Data In The Patient Discharge Summary To Support Correct Hospital Reimbursements, Fadi Naser Eddin

USF Tampa Graduate Theses and Dissertations

The patient discharge summary is a document that conveys the patient's story to other healthcare practitioners, external users, and, most importantly from a financial perspective, health insurers. A defect or incompleteness in the patient's discharge summary will result in delays in the collection process through denial of the entire or partial reimbursement claim or, in the best-case scenario, delay until the discharge summary issue is resolved. The purpose of this project is to address the issue of the incompleteness of discharge summary from the perspective of healthcare providers, with the goal of understanding, diagnosing, and intervening in the research problem. …

Detection Of Dental Apical Lesions Using Cnns On Periapical Radiograph, Chun-Wei Li, Szu-Yin Lin, He-Sheng Chou, Tsung-Yi Chen, Yu-An Chen, Sheng-Yu Liu, Yu-Lin Liu, Chiung-An Chen, Yen-Cheng Huang, Shih-Lun Chen, Yi-Cheng Mao, Patricia Angela R. Abu, Wei-Yuan Chiang, Wen-Shen Lo

Department of Information Systems & Computer Science Faculty Publications

Apical lesions, the general term for chronic infectious diseases, are very common dental diseases in modern life, and are caused by various factors. The current prevailing endodontic treatment makes use of X-ray photography taken from patients where the lesion area is marked manually, which is therefore time consuming. Additionally, for some images the significant details might not be recognizable due to the different shooting angles or doses. To make the diagnosis process shorter and efficient, repetitive tasks should be performed automatically to allow the dentists to focus more on the technical and medical diagnosis, such as treatment, tooth cleaning, or …

Prediction Of Synthetic Lethal Interactions In Human Cancers Using Multi-View Graph Auto-Encoder, Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li

Research Collection School Of Computing and Information Systems

Synthetic lethality (SL) is a very important concept for the development of targeted anticancer drugs. However, experimental methods for SL detection often suffer from various issues like high cost and low consistency across cell lines. Hence, computational methods for predicting novel SLs have recently emerged as complements for wet-lab experiments. In addition, SL data can be represented as a graph where nodes are genes and edges are the SL interactions. It is thus motivated to design advanced graph-based machine learning algorithms for SL prediction. In this paper, we propose a novel SL prediction method using Multi-view Graph Auto-Encoder (SLMGAE). We …

Managing Health Locus Of Control In Patient-Provider Relationships, James Wallace

USF Tampa Graduate Theses and Dissertations

Patient locus of control is a strong determinant of health outcomes, yet health care professionals do not typically address it in care plans. In fact, management of most medical conditions is hindered because the treating physician has little information about the patient’s locus of control. This research addresses the question “How can locus of control be used to enable health care practitioners to improve medical outcomes?”

Research Methodology. Using an engaged scholarship approach incorporating the Elaborated Action Design Research methodology, the research drives the guided, emergent design of a novel protocol and two separate artifacts for management of health locus …

Precision Public Health Campaign: Delivering Persuasive Messages To Relevant Segments Through Targeted Advertisements On Social Media, Jisun An, Haewoon Kwak, Hanya M. Qureshi, Ingmar Weber

Research Collection School Of Computing and Information Systems

Although established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device use has increased, so have individual digital footprints, creating potential opportunities for targeted digital health interventions. We propose a novel precision public health campaign framework to structure and standardize the process of designing and delivering tailored health messages to target particular population segments using social media–targeted advertising tools. Our framework consists of five stages: defining a campaign goal, priority audience, and evaluation metrics; splitting the target audience …

Multilateration Index., Chip Lynch

Electronic Theses and Dissertations

We present an alternative method for pre-processing and storing point data, particularly for Geospatial points, by storing multilateration distances to fixed points rather than coordinates such as Latitude and Longitude. We explore the use of this data to improve query performance for some distance related queries such as nearest neighbor and query-within-radius (i.e. “find all points in a set P within distance d of query point q”). Further, we discuss the problem of “Network Adequacy” common to medical and communications businesses, to analyze questions such as “are at least 90% of patients living within 50 miles of a covered emergency …

An Automated Method To Enrich And Expand Consumer Health Vocabularies Using Glove Word Embeddings, Mohammed Ibrahim

Graduate Theses and Dissertations

Clear language makes communication easier between any two parties. However, a layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical jargon, which can lead to poor understanding of their condition and/or treatment. To bridge this gap, several professional vocabularies and ontologies have been created to map laymen medical terms to professional medical terms and vice versa. Many of the presented vocabularies are built manually or semi-automatically requiring large investments of time and human effort and consequently the slow …

Knowledge And Anxiety About Covid-19 In The State Of Qatar, And The Middle East And North Africa Region—A Cross Sectional Study, Sathyanarayanan Doraiswamy, Sohaila Cheema, Maisonneuve Patrick, Amit Abraham, Ingmar Weber, Jisun An, Albert B. Lowenfels, Ravinder Mamtani

Research Collection School Of Computing and Information Systems

While the coronavirus disease 2019 (COVID-19) pandemic wreaked havoc across the globe, we have witnessed substantial mis- and disinformation regarding various aspects of the disease. We conducted a cross-sectional study using a self-administered questionnaire for the general public (recruited via social media) and healthcare workers (recruited via email) from the State of Qatar, and the Middle East and North Africa region to understand the knowledge of and anxiety levels around COVID-19 (April–June 2020) during the early stage of the pandemic. The final dataset used for the analysis comprised of 1658 questionnaires (53.0% of 3129 received questionnaires; 1337 [80.6%] from the …

Utility Model And Usability Evaluation Instrument For Elderly’S Pain Management Mobile Applications, Umm-E-Mariya Shah

Student Works (2020-2029)

The elderly population is growing rapidly worldwide. It has turned out to be highly important in many industries to take into account the specific needs of older people. Old age people are more at risk of having chronic illness and pain is amongst their common ailments. Pain is prevalent to involve high societal cost and the most disabling condition among the other major chronic diseases. This highlights the importance of proper pain self-management to improve quality of life via mHealth technology. Nevertheless, the elderly have certain limitations in the use of mobile technology because of physical, perception, cognitive or motivational …

Research Commentary On Is/It Role In Emergency And Pandemic Management: Current And Future Research, W. L. Shiau, Keng Siau, Y. Yu, J. Guo

Research Collection School Of Computing and Information Systems

IS/IT plays an important role in our everyday life, especially in today's Internet era. This article discusses the roles of IS/IT in providing services and support on information gathering, analysis, and management during major public emergencies and pandemic crises such as the battle against the new coronavirus. The five selected papers in this special issue introduce advanced methods on data collection and social media user analysis to deal with the challenges brought by the COVID-19 pandemic. This paper also presents future research directions on the use of IS/IT in emergency and pandemic management such as IS control and governance, intelligent …

Enhancing Healthcare Professional And Caregiving Staff Informedness With Data Analytics For Chronic Disease Management, Na Liu, Robert John Kauffman

Research Collection School Of Computing and Information Systems

An important area in healthcare to which data analytics can be applied is chronic disease management. The chronic care model is mostly patient-centric, so patients have been considered as the end users of data analytics. The information needs of healthcare providers have been overlooked. Drawing upon the theory of informedness and the transtheoretical model of health behavior change, we use a multicase study approach to investigate the information needs of different caregiving stakeholders in the spectrum of chronic diseases, and how data analytics can be designed to meet the varying needs of professionals and staff to support their informedness.

A Theoretical Framework For The Adoption Of Cloud Computing In Hospital Information Systems, Shady Gomaa Abdulaziz

Student Works (2020-2029)

Cloud Computing (CC) is becoming a favourable trend in managing digital data. However, there is a low CC adoption rate in Health-Care Institutions (HCIs) than in other industries due to many reasons like awareness, staff, and costs. This research aims to: (1) investigate the CC adoption in the Saudi Health-Care Institutions (SHCIs), (2) determine the factors that influence the CC adoption in selected SHCIs, (3) develop a theoretical framework for the deployment of CC adoption in selected HCIs based on factors determined earlier, and (4) validate a research framework for the adoption of CC in SHCIs. The purpose of this …

"Who Can Help Me?'': Knowledge Infused Matching Of Support Seekers And Support Providers During Covid-19 On Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth

Publications

During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs). Currently, knowledgeable human moderators match an SS with a user with relevant experience, i.e, an SP on these subreddits. This unscalable process defers timely care. We present a medical knowledge-infused approach to efficient matching of SS and SPs validated by experts for the users affected by anxiety and depression, in the context of with COVID-19. After matching, each SP to …

Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam

Research Collection School Of Computing and Information Systems

The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent months. In this paper, we study the phenomenon of “work-from-home” (WFH) by performing social listening. We propose an analytics pipeline designed to crawl social media data and perform text mining analyzes on textual data from tweets scrapped based on hashtags related to WFH in COVID-19 situation. We apply text mining and NLP techniques to analyze the tweets for extracting the WFH themes and sentiments (positive and negative). Our Twitter theme analysis adds further value by summarizing the common key topics, allowing employers to gain more insights on areas of …

Impact Of Information Breaches On Health Care Records, Anton Antony Arockiasamy

Walden Dissertations and Doctoral Studies

Although there were almost 3.5 million reported information breaches of health care data in the first quarter of 2019, health care providers do not know the extent of digital and nondigital breaches of patient medical records. The purpose of this quantitative, comparative study was to identify the difference between the individual patient records affected by digital versus nondigital breaches for three types of health care entities in the United States, health care providers, health care plans, and health care clearinghouses. Allman’s privacy regulation theory, the National Institute of Standards and Technology Privacy Framework, and ecological systems theory comprised the theoretical …

Meaningful Use Criteria And Staff Accountability In An Office Setting, Marcia Ionie Pender

Walden Dissertations and Doctoral Studies

Proper documentation for meaningful use (MU) criteria within electronic health records (EHRs) was identified as an issue for office staff at a local primary care office in a metropolitan area of Central Florida. The project question addressed the local gap in knowledge about MU standards necessary to ensure correct documentation of EHRs. The purpose of this doctoral project was to provide an educational program for staff to ensure compliance with the HITECH Act of 2009. Lewin’s Change Theory and Knowles Theory of Adult learning were the conceptual foundations for the educational program. The project question was to determine whether a …

Medical Practitioners’ Intention To Use Secure Electronic Medical Records In Healthcare Organizations, Omar Enrique Sangurima

Walden Dissertations and Doctoral Studies

Medical practitioners have difficulty fully implementing secure electronic medical records (EMRs). Clinicians and medical technologists alike need to identify motivational factors behind secure EMR implementation to assure the safety of patient data. Grounded in the unified theory of acceptance and use of technology model, the purpose of this quantitative, correlational study was to examine the relationship between medical practitioners’ perceptions of performance expectancy, effort expectancy, social influence, facilitating conditions, and the intention to use secure EMRs in healthcare organizations. Survey data (N = 126) were collected from medical practitioners from the northeastern United States. The results of the multiple regression …

Eelgrass (Zostera Marina) Population Decline In Morro Bay, Ca: A Meta-Analysis Of Herbicide Application In San Luis Obispo County And Morro Bay Watershed, Tyler King Sinnott

Master's Theses

The endemic eelgrass (Zostera marina) community of Morro Bay Estuary, located on the central coast of California, has experienced an estimated decline of 95% in occupied area (reduction of 344 acres to 20 acres) from 2008 to 2017 for reasons that are not yet definitively clear. One possible driver of degradation that has yet to be investigated is the role of herbicides from agricultural fields in the watershed that feeds into the estuary. Thus, the primary research goal of this project was to better understand temporal and spatial trends of herbicide use within the context of San Luis …

Covid-19: Information And Communication Technologies On Pandemic Management, Linrui Han, Renee Wang, Keng Siau

Research Collection School Of Computing and Information Systems

COVID-19 was discovered in Wuhan, China, in December 2019 (Nah & Siau, 2020; Xie et al. 2020). As of November 2020, globally, there are more than 50 million people infected with COVID-19 and more than 1 million deaths. Different countries have different responses to the COVID-19 pandemic because of different economic developments and different cultures in each country. Information and Communication Technologies (ICT) have an impact on almost every industry (Siau & Long, 2009). This research focuses on understanding the effects of ICT on COVID-19 pandemic management. In this research, we utilize the Human Capital Theory (HCT), which suggests that …

Artificial Intelligence And Covid-19 Pandemic Management, Keng Siau, Linrui Han, Ru Lian, Yitian Luo, Zhihui Ruan

Research Collection School Of Computing and Information Systems

The COVID-19 pandemic started in 2019. The world’s economy is challenged and our daily lives are changed, maybe forever (Xie et al. 2020). Artificial intelligence (AI) has been and can be utilized in COVID-19 pandemic management (Wang & Siau, 2019; Stephanidis et al., 2019; Siau & Wang, 2020; Nah & Siau, 2020). AI can help with tracking and managing the spread of the COVID-19 pandemic (Vaishya, Javaid, Khan, & Haleem, 2020), analyzing and monitoring real-time pandemic data, assisting in medical diagnoses such as helping doctors to simulate the effect of drugs, optimizing the supply chain (Siau & Shen, 2002), and …

Covid-19 Pandemic – Online Education In The New Normal And The Next Normal, X. Xie, Keng Siau, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The development and advancement of information technology provide a technical platform for education reform and opportunities for innovation in education. The global COVID-19 pandemic has created a new normal that further springboards such opportunities to large scale implementation of online education. Because online education has the advantages of flexibility, information accessibility, global reach, equity, innovation, and efficiency, a growing number of educational institutions are offering degree-granting distance and hybrid education programs. However, online education also has its shortcomings, which include technological constraints, the lack of a sense of belonging and connectedness, the presence of distractions, and a lack of engagement. …