Databases and Information Systems Commons^™

A Nwb-Based Dataset And Processing Pipeline Of Human Single-Neuron Activity During A Declarative Memory Task, N. Chandravadia, D. Liang, A. G. P. Schjetnan, A. Carlson, M. Faraut, J. M. Chung, C. M. Reed, B. Dichter, Uri Maoz, S. K. Kalia, T. A. Valiante, A. N. Mamelak, U. Rutishauser

Psychology Faculty Articles and Research

A challenge for data sharing in systems neuroscience is the multitude of different data formats used. Neurodata Without Borders: Neurophysiology 2.0 (NWB:N) has emerged as a standardized data format for the storage of cellular-level data together with meta-data, stimulus information, and behavior. A key next step to facilitate NWB:N adoption is to provide easy to use processing pipelines to import/export data from/to NWB:N. Here, we present a NWB-formatted dataset of 1863 single neurons recorded from the medial temporal lobes of 59 human subjects undergoing intracranial monitoring while they performed a recognition memory task. We provide code to analyze and export/import …

The Search For Optimal Oxygen Saturation Targets In Critically Ill: Patients Observational Data From Large Icu Databases, Willem Van Den Boom, Michael Hoy, Jagadish Sankaran, Mengru Liu, Haroun Chahed, Mengling Feng, Kay Choong See

Research Collection School Of Computing and Information Systems

Background: Although low oxygen saturations are generally regarded as deleterious, recent studies in ICU patients have shown that a liberal oxygen strategy increases mortality. However, the optimal oxygen saturation target remains unclear. The goal of this study was to determine the optimal range by using real-world data. Methods: Replicate retrospective analyses were conducted of two electronic medical record databases: the eICU Collaborative Research Database (eICU-CRD) and the Medical Information Mart for Intensive Care III database (MIMIC). Only patients with at least 48 h of oxygen therapy were included. Nonlinear regression was used to analyze the association between median pulse oximetry-derived …

Cybersecurity Using Risk Management Strategies Of U.S. Government Health Organizations, Ian Cornelius Wilkinson

Walden Dissertations and Doctoral Studies

Seismic data loss attributed to cybersecurity attacks has been an epidemic-level threat currently plaguing the U.S. healthcare system. Addressing cyber attacks is important to information technology (IT) security managers to minimize organizational risks and effectively safeguard data from associated security breaches. Grounded in the protection motivation theory, the purpose of this qualitative multiple case study was to explore risk-based strategies used by IT security managers to safeguard data effectively. Data were derived from interviews of eight IT security managers of four U.S. government health institutions and a review of relevant organizational documentation. The research data were coded and organized to …

Information Security Ambassadors’ Perceptions Of Peer-Led Motivation In Phishing Detection, Kingkane Malmquist

Walden Dissertations and Doctoral Studies

Phishing rates are increasing yearly and continue to compromise data integrity. The need to guard business information is vital for organizations to meet their business objectives and legal obligations. The purpose of this phenomenological study was to explore security ambassadors’ perceptions of motivating their peers to adopt safe internet behaviors in a large medical campus in Minnesota. Hackman and Oldham’s job characteristic motivation theory was used to frame the study. Data were collected from semistructured interviews with 20 security ambassadors. Data coding and analysis yielded 7 themes: rewarding, value, personal interest, limited information security knowledge, increased interest, communication, and topics …

Strategies Used In Ehealth Systems Adoption, Joshua Adams

Walden Dissertations and Doctoral Studies

Failure to adopt an interoperable eHealth system limits the accurate communication exchange of pertinent health-care-related data for diagnosis and treatment. Patient data are located in disparate health information systems, and the adoption of an interoperable eHealth system is complex and requires strategic planning by senior health care IT leaders. Grounded in DeLone and McLean’s information system success model, the purpose of this qualitative case study was to explore strategies used by some senior information technology (IT) health care leaders in the successful adoption of an eHealth system. The participants were 8 senior health care IT leaders in the eastern United …

Strategies For Automating Pharmacovigilance Adverse Event Case Processing, Mythily Easwar

Walden Dissertations and Doctoral Studies

Business leaders who fail to implement innovative technology solutions in their companies face economic distress in these organizations. Guided by the task technology fit model as the conceptual framework, the purpose of this qualitative single case study was to explore strategies used by pharmacovigilance (PV) systems leaders to implement innovative technology solutions. The participants were 4 PV systems managers working in a pharmaceutical company in the Boston area of Massachusetts, United States, who used successful strategies to implement innovative technology solutions to automate adverse events case processing. Data were collected using semistructured interviews and company documents. The collected data were …

Strategies To Implement A Material Management Information System For Medical Device Recalls, Paul Leo Lafrance

Walden Dissertations and Doctoral Studies

Health care business executives lack strategies to implement material management information systems (MMIS) related to medical device recalls. Lacking sufficient MMIS, health care business executives face insufficient product tracking related to medical devices affecting operational efficiency. Grounded in the conceptual frameworks of the technology acceptance model and diffusion of innovation, the purpose of this qualitative single case study was to explore health care business executives’ strategies for implementing an MMIS related to medical device recalls. The participants were 6 health care executives who implemented an MMIS in an urban hospital in the northeast region of the United States. Data were …

Evaluation Of Telehealth Applications For Patients Seeking Hospice Care, Victoria Emma Surujlall

Walden Dissertations and Doctoral Studies

Telehealth (TH) is one of the newest avenues for improving accessibility and healthcare accommodations for patients with chronic health issues and terminal illness. The purpose of a quality improvement (QI) initiative at the project site was to align current evidence-based practice to address the disparities in the admissions process experienced by patients seeking hospice care from remote locations. The health belief model and Roger's diffusion of innovation theory were used to inform this doctor of nursing QI evaluation project to determine whether using a standardized evidence-based intake assessment process delivered by TH would increase accessibility for patients seeking hospice services. …

Exploration Of Ehr Implementation Strategies: A Qualitative Study, Scot Eric Loerch

Walden Dissertations and Doctoral Studies

AbstractElectronic health record system implementations have a high failure rate when properly developed strategies are not used. These implementation failures affect healthcare workers and practitioners core roles through a lack of documentation practices, which decreases the quality of the care of the patients. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore the strategies information technology systems engineers use for the implementation of Health Information Management Systems. The participants were 10 information technology systems engineers from three healthcare organizations in the greater Tennessee area. The data were collected through recorded participant interviews …

Objective Sleep Quality As A Predictor Of Mild Cognitive Impairment In Seniors Living Alone, Brian Chen, Hwee-Pink Tan, Irus Rawtaer, Hwee Xian Tan

Research Collection School Of Computing and Information Systems

Singapore has the fastest ageing population in the Asia Pacific region, with an estimated 82,000 seniors living with dementia. These figures are projected to increase to more than 130,000 by 2030. The challenge is to identify more community dwelling seniors with Mild Cognitive Impairment (MCI), a prodromal state, as it provides an opportunity for evidence-based early intervention to delay the onset of dementia. In this paper, we explore the use of Internet of Things (IoT) systems in detecting MCI symptoms in seniors who are living alone, and accurately grouping them into MCI positive and negative subjects. We present feature extraction …

The Dynamic Impacts Of Online Healthcare Community On Physician Altruism: A Hidden Markov Model, Kai Luo, Qiu-Hong Wang, Hock Hai Teo

Research Collection School Of Computing and Information Systems

Physician altruism is not only a key foundation of modern medical professionalism, but also a critical component in the theoretical health economics study. There is considerable interest in understanding the impacts of contemporary healthcare technology on physician altruism. In this paper, we investigate the dynamic influence of multiple incentive mechanisms developed by an online healthcare community (OHC) on physician altruism. We model physician altruism as the degree of tendency to benefit the patients at the cost of oneself and focus on the incentive mechanisms that give physicians social and economic returns. The dynamics of physician altruism is characterized via a …

Examining The Theoretical Mechanisms Underlying Health Information Exchange Impact On Healthcare Outcomes: A Physician Agency Perspective, Fang Zhou, Qiu-Hong Wang, Hock Hai Teo

Research Collection School Of Computing and Information Systems

Health information exchange (HIE) is presumed to reduce medical costs by facilitating information sharing across healthcare providers. Existing studies focused on different medical costs or one set of costs, and resulted in mixed findings. We examine the effects of patient access to HIE on two of the most important medical costs of a hospitalization episode - test costs and medication costs - through a natural experiment and the discharge data of a hospital. Besides the negative direct effect of access to HIT on tests costs, we also find its positive spillover effect on medication costs, such that more patients having …

Introducing A Mobile Health Care Platform In An Underserved Rural Population: Reducing Assimilations Gaps On Adoption And Use Via Nudges, Joseph Hodges

USF Tampa Graduate Theses and Dissertations

Rural communities are often overlooked when it comes to offering cutting edge consumer healthcare technologies. Mobile applications usually exclude populations in rural demographics due to the infrastructure requirements and available technology in the region. The population studied is a low income rural health plan in southwest Georgia. They are uniquely considered as they have the highest healthcare costs in the U.S. and are compared to healthcare costs among higher income populations like Vail, Colorado. Innovations, such as mobile healthcare applications, have the capacity to offset some of these costs, but even if adoption occurs, this does not guarantee use will …

Estimating Glycemic Impact Of Cooking Recipes Via Online Crowdsourcing And Machine Learning, Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

Research Collection School Of Computing and Information Systems

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this paper, we explore a data-driven approach utilizing online crowdsourcing and machine learning to estimate the glycemic impact of cooking recipes. We show that a commonly used healthiness metric may not always be effective in determining recipes suitable for diabetics, thus emphasizing the importance of the glycemic-impact estimation task. Our best classification model, trained on nutritional and crowdsourced data obtained from Amazon Mechanical Turk (AMT), can …

Characterizing And Predicting Repeat Food Consumption Behavior For Just-In-Time Interventions, Yue Liu, Helena Huey Chong Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin

Research Collection School Of Computing and Information Systems

Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming different types of items when the consumptions become overly monotonous. However, the novel and repeat consumption behaviors have not been studied in food recommendation research. More importantly, the ability to predict daily eating habits of individuals is crucial to improve the effectiveness of food recommender systems in facilitating healthy lifestyle change. In this study, we analyze the patterns of repeat food consumptions using large-scale consumption data from a popular online fitness community …

Smartbfa: A Passive Crowdsourcing System For Point-To-Point Barrier-Free Access, Mohammed Nazir Kamaldin, Susan Kee, Songwei Kong, Chengkai Lee, Huiguang Liang, Alisha Saini, Hwee-Pink Tan, Hwee Xian Tan

Research Collection School Of Computing and Information Systems

At the Bloomberg Live `Sooner Than You Think' forum [1] held in Singapore in 2018, nearly 75% of delegates picked inclusiveness to be the key measure of success for a smart city. An inclusive smart city is a citizen-centered approach that extends the experiences provided by smart city solutions to all citizens, including seniors and persons with disabilities (PwDs).Despite existing regulations on barrier-free accessibility for buildings and public infrastructure, pedestrian infrastructure is generally still inaccessible to PwDs in many parts of the world. In this paper, we present SmartBFA (Smart Mobility and Accessibility for Barrier Free Access) - a publicly-funded …

Foodai: Food Image Recognition Via Deep Learning For Smart Food Logging, Doyen Sahoo, Hao Wang, Ke Shu, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Hoi, Steven C. H.

Research Collection School Of Computing and Information Systems

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. However, food-logging is cumbersome, and requires not only taking additional effort to note down the food item consumed regularly, but also sufficient knowledge of the food item consumed (which is difficult due to the availability of a wide variety of cuisines). With increasing reliance on smart devices, we exploit the convenience offered through the use of smart phones …

Designing The Arriving Refugee Informatics Surveillance And Epidemiology (Arive) System: A Web-Based Electronic Database For Epidemiological Surveillance, William A. Mattingly, Ruth M. Carrico, Timothy L. Wiemken, Robert R. Kelley, Rebecca A. Ford, Rahel Bosson, Kimberley A. Buckner, Julio A. Ramirez

Journal of Refugee & Global Health

Objectives: We design and implement the Arriving Refugee Informatics surVeillance and Epidemiology (ARIVE) system to improve the health of refugees undergoing resettlement and enhance existing health surveillance networks.

Materials and Methods: Using the REDCap electronic data capture software as a basis we create a refugee health database incorporating data from the Center for Disease Control and Prevention’s Electronic Disease Notification (EDN) system and domestic screening data from refugee health care providers.

Results: Domestic screening and EDN refugee health data have been integrated for 13,824 refugees resettled from 35 different countries into the state of Kentucky from the years 2013-2016.

Discussion: …

Social Media Text Mining Framework For Drug Abuse: An Opioid Crisis Case Analysis, Tareq Nasralah

Masters Theses & Doctoral Dissertations

Social media is considered as a promising and viable source of data for gaining insights into various disease conditions, patients’ attitudes and behaviors, and medications. The daily use of social media provides new opportunities for analyzing several aspects of communication. Social media as a big data source can be used to recognize communication and behavioral themes of problematic use of prescription drugs. Mining and analyzing such media have challenges and limitations with respect to topic deduction and data quality. There is a need for a structured approach to efficiently and effectively analyze social media content related to drug abuse in …

Early Information Access To Alleviate Emergency Department Congestion, Anjee Gorkhali

Theses and Dissertations in Business Administration

Alleviating Emergency Department (ED) congestion results in shorter hospital stay which not only reduces the cost of medical procedure but also increase the hospital performance. Length of patient stay is used to determine the hospital performance. Organization Information Processing (OIPT) Theory is used to explain the impact of information access and availability on the information processing need and ability of a hospital. Technical devices such as RFID that works as “Auto Identification tags” is suggested to increase the information availability as well as the information processing capability of the hospitals. This study suggests that the OIPT needs to be further …

Evaluating An Electronic Protocol In A Pediatric Intensive Care Unit, Jeanette Rose

UNO Student Research and Creative Activity Fair

A team of clinicians at Children’s Hospital and Medical Center (CHMC) developed a standardized protocol in 2018 for the care of patients needing sedation. This protocol is ordered through the EPIC electronic health record system for patients in the pediatric intensive care unit (PICU). When used, electronic protocols reduce the variation in clinical decision making which can ultimately improve patient outcomes. The goal of this project is to evaluate this technology, how the protocol is being used, and how it may be improved. Actual users of the EPIC sedation protocol were the subjects of this study, including PICU physicians, physician …

Providers’ Perception Of Alert Fatigue After Implementation Of User-Filtered Warnings, Hina Afaq, Sahaana Mukundan, Sadaf Zia, Alisa K. Escano Dr., Rebecca Lear Dr., Casey Washington Dr.

Pharmacotherapy and Outcomes Science Publications

Alert fatigue is a complex problem that many health institutions face when using an electronic health record (EHR). The addition of user-filtered warnings (UFW) is a physicians’ proposed intervention at Inova Health System (IHS), a large 5-hospital health system in Northern Virginia, that allows prescribers to filter out specific drug-drug interactions and pregnancy and lactation medication alerts for a 30-day period. This study aims to determine the impact of UFW on physicians’ perception of alert fatigue and to calculate the reduction of medication alerts. It was hypothesized that the reduction in alerts will significantly impact physicians’ perception of alert fatigue …

Reducing Errors With Blood Administration Transfusion Systems, Kim D. Stevens

Walden Dissertations and Doctoral Studies

The intention of implementing technology into healthcare practices is to reduce opportunity for errors in the delivery of providing health care. However, errors still occur, and many times are preventable. Configurations of health information technology systems should match clinical workflows to promote usage as intended. The purpose of this quality improvement project was to evaluate the impact of revised system configurations and use of a blood product transfusion system for the administration of blood products after one year of implementation. The method of heuristic evaluation is a usability engineering method for finding problems in a user interface design with the …

Successful Strategies For Implementing Health Information Technology In Primary Care Practice, Samuel O. Otoo

Walden Dissertations and Doctoral Studies

Health information technology (HIT) owner-practitioners who adopt effective strategies for HIT implementation can improve primary facility care delivery and profitability. However, some HIT owner-practitioners have ineffective implementation strategies, so they have not realized the total revenue increases of more than 8%. Grounded in general systems theory, the purpose of this multiple case study was to explore successful strategies primary care practitioners (PCPs) use to implement HIT to improve primary facility care delivery and profitability. The participants included 6 owner-practitioners located in Queens County, NY, who successfully implemented HIT to improve facility care delivery and profitability. Data were collected through face-to-face …

Understanding Diabetes Through Pathway Analysis Evaluation, London Cavaletto

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

Metabolic disorders affect many people and identifying significantly perturbed biological processes in a metabolic disease can provide valuable insight into the disease’s mechanisms. Evaluating the proposed Metabolic Pathway Analysis Method (RAMP) will enable us to reliably use it to identify significantly perturbed metabolic pathways that could help identify disease mechanisms and potential therapy targets or disease bio-markers of a metabolic disorder.

Mobile Technology Deployment Strategies For Improving The Quality Of Healthcare, Won K. Song

Walden Dissertations and Doctoral Studies

Ineffective deployment of mobile technology jeopardizes healthcare quality, cost control, and access, resulting in healthcare organizations losing customers and revenue. A multiple case study was conducted to explore the strategies that chief information officers (CIOs) used for the effective deployment of mobile technology in healthcare organizations. The study population consisted of 3 healthcare CIOs and 2 healthcare information technology consultants who have experience in deploying mobile technology in a healthcare organization in the United States. The conceptual framework that grounded the study was Wallace and Iyer's health information technology value hierarchy. Data were collected using semistructured interviews and document reviews, …

A Delphi Study Analysis Of Best Practices For Data Quality And Management In Healthcare Information Systems, Olivia L. Pollard

Walden Dissertations and Doctoral Studies

Healthcare in the US continues to suffer from the poor data quality practices processes that would ensure accuracy of patient health care records and information. A lack of current scholarly research on best practices in data quality and records management has failed to identify potential flaws within the relatively new electronic health records environment that affect not only patient safety but also cost, reimbursements, services, and most importantly, patient safety. The focus of this study was to current best practices using a panel of 25 health care industry data quality experts. The conceptual lens was developed from the International Monetary …

Doppler Radar-Based Non-Contact Health Monitoring For Obstructive Sleep Apnea Diagnosis: A Comprehensive Review, Vinh Phuc Tran, Adel Ali Al-Jumaily, Syed Mohammed Shamsul Islam

Research outputs 2014 to 2021

Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring …

Phr: Patient Health Record, Quinn Nelson

Theses/Capstones/Creative Projects

The rapid development of information technology systems has expanded into multiple disciplines and results in systems that are limited by initial design and implementation: the Healthcare Information Technology (HIT) space is no different. The introduction of the Electronic Health Record (EHR) system has changed the way healthcare operates. Initial designs of these systems were focused on serving the needs of insurance companies and healthcare billing departments. Research shows that the design of EHR systems negatively impact provider-patient interactions and the care they receive. This capstone project capitalizes on the collaboration efforts between UNO and UNMC – by joining a research …

Better Inpatient Health Quality At Lower Cost: Should I Participate In The Online Healthcare Community First?, Kai Luo, Qiu-Hong Wang, Hock Hai Teo, Xi Chen

Research Collection School Of Computing and Information Systems

As policy makers across the globe look to health information technology (HIT) as a meansof improving the efficiency of the healthcare systems, it has sparked significant interestin understanding how HIT might help achieve that. While researchers have examined anddocumented the efficiency-improving effect of various institution HITs (e.g., electronicclinic pathways and telemedicine), the impacts of consumer HITs such as onlinehealthcare communities have been generally overlooked. Utilizing two unique datasetsfrom both an online healthcare community and a general hospital, we study the impactof online healthcare community on offline inpatient care efficiency. Through rigorousanalysis, we find that communications between physicians and patients on …