An Exploratory Analysis of the Association between Healthcare Associated Infections & Hospital Financial Performance.

Healthcare-associated infections (HAIs) place a significant financial burden on United States hospitals. HAI treatments extend hospital lengths of stay and increase hospital operational costs while significantly reducing hospital profit margins. Given these challenges, the research aim of this study was to explore the association between HAIs and hospital financial performance.

Assessing Risk Literacy Skills: Enhancing Healthcare Management among University Students.

The purpose of this study was to explore the determinants of risk literacy among university students in the United States by utilizing the Berlin Numeracy Test. Risk literacy skills are essential for decision-making and communication of risks, but few studies consider university students. This study aims to evaluate the association of sociodemographic factors with individual risk literacy levels.

Effects of Internal and External Factors on Hospital Data Breaches: Quantitative Study.

Background: Health care data breaches are the most rapidly increasing type of cybercrime; however, the predictors of health care data breaches are uncertain.

Objective: This quantitative study aims to develop a predictive model to explain the number of hospital data breaches at the county level.

Methods: This study evaluated data consolidated at the county level from 1032 short-term acute care hospitals.

An Exploratory Analysis of the Association between Hospital Quality Measures and Financial Performance.

Hospitals are perpetually challenged by concurrently improving the quality of healthcare and maintaining financial solvency. Both issues are among the top concerns for hospital executives across the United States, yet some have questioned if the efforts to enhance quality are financially sustainable. Thus, the aim of this study is to examine if efforts to improve quality in the hospital setting have a corresponding association with hospital profitability.

Social determinants of health literacy: a cross-sectional exploratory study.

Despite the importance of health literacy to health-promoting behaviors, few studies have assessed the social determinants of health literacy in a random sample of individuals from the USA. The study evaluated the association of sociodemographic factors with individual health literacy levels. This cross-sectional web-based observational study utilized the Health Literacy Questionnaire (HLQ), a multidimensional instrument measuring nine areas of literacy.

The Health Status of the US Veterans: A Longitudinal Analysis of Surveillance Data Prior to and during the COVID-19 Pandemic.

Chronic diseases affect a disproportionate number of United States (US) veterans, causing significant long-term health issues and affecting entitlement spending. This longitudinal study examined the health status of US veterans as compared to non-veterans pre- and post-COVID-19, utilizing the annual Center for Disease Control and Prevention (CDC) behavioral risk factor surveillance system (BRFSS) survey data. Age-adjusted descriptive point estimates were generated independently for 2003 through 2021, while complex weighted panel data were generated from 2011 and onward.

Deep Vision for Breast Cancer Classification and Segmentation.

(1) Background: Female breast cancer diagnoses odds have increased from 11:1 in 1975 to 8:1 today. Mammography false positive rates (FPR) are associated with overdiagnoses and overtreatment, while false negative rates (FNR) increase morbidity and mortality. (2) Methods: Deep vision supervised learning classifies 299 × 299 pixel de-noised mammography images as negative or non-negative using models built on 55,890 pre-processed training images and applied to 15,364 unseen test images.

Examining Predictors of Myocardial Infarction.

Cardiovascular diseases are the leading cause of death in the United States. This study analyzed predictors of myocardial infarction (MI) for those aged 35 and older based on demographic, socioeconomic, geographic, behavioral, and risk factors, as well as access to healthcare variables using the Center for Disease (CDC) Control Behavioral Risk Factor Surveillance System (BRFSS) survey for the year 2019. Multiple quasibinomial models were generated on an 80% training set hierarchically and then used to forecast the 20% test set.

Determinants of Diabetes Disease Management, 2011-2019.

This study estimated the effects of Medicaid Expansion, demographics, socioeconomic status (SES), and health status on disease management of diabetes over time. The hypothesis was that the introduction of the ACA and particularly Medicaid Expansion would increase the following dependent variables (all proportions): (1) provider checks of HbA1c, (2) provider checks of feet, (3) provider checks of eyes, (4) patient education, (5) annual physician checks for diabetes, (6) patient self-checks of blood sugar. Data were available from the Behavioral Risk Factor Surveillance System for 2011 to 2019.

Big-Data Skills: Bridging the Data Science Theory-Practice Gap in Healthcare.

Demand for big-data scientists continues to escalate driving a pressing need for new graduates to be more fluent in the big-data skills needed by employers. If a gap exists between the educational knowledge held by graduates and big data workplace skills needed to produce results, workers will be unable to address the big data needs of employers. This survey explores big-data skills in the classroom and those required in the workplace to determine if a skills gap exists for big-data scientists.

Managing Security Risk: Modeling the Root Causes of Data Breaches.

Health care data breaches are occurring at unprecedented rates, but breach causes are challenging to identify. The purpose of this exploratory study was to identify potential root causes associated with health care data breaches and to create a model of potential data breach factors to inform risk assessment and future predictive analysis. We considered organizational factors, business processes, and technological tools that may be associated with health care data breach occurrences.

Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50.

Alzheimer's is a disease for which there is no cure. Diagnosing Alzheimer's disease (AD) early facilitates family planning and cost control. The purpose of this study is to predict the presence of AD using socio-demographic, clinical, and magnetic resonance imaging (MRI) data.

Big Data Analytics in Healthcare: Investigating the Diffusion of Innovation.

The shortage of data scientists has restricted the implementation of big data analytics in healthcare facilities. This survey study explores big data tool and technology usage, examines the gap between the supply and the demand for data scientists through Diffusion of Innovations theory, proposes engaging academics to accelerate knowledge diffusion, and recommends adoption of curriculum-building models. For this study, data were collected through a national survey of healthcare managers.

Cyber-Analytics: Identifying Discriminants of Data Breaches.

In this study, the relationship between data breach characteristics and the number of individuals affected by these violations was considered. Data were acquired from the Department of Health and Human Services breach reporting database and analyzed using SPSS. Regression analyses revealed that the hacking/IT incident breach type and network server breach location were the most significant predictors of the number of individuals affected; however, they were not predictive when combined.

Are college students health literate?

To examine the health literacy of college students. A convenience sample of 245 graduate and undergraduate college students. During February-April of 2018 participants completed the Short Test of Functional Health Literacy which assessed literacy on two passages describing a thyroid scan, and basic healthcare insurance information.

The Odds of Success: Predicting Registered Health Information Administrator Exam Success.

The purpose of this study was to craft a predictive model to examine the relationship between grades in specific academic courses, overall grade point average (GPA), on-campus versus online course delivery, and success in passing the Registered Health Information Administrator (RHIA) exam on the first attempt. Because student success in passing the exam on the first attempt is assessed as part of the accreditation process, this study is important to health information management (HIM) programs. Furthermore, passing the exam greatly expands the graduate's job possibilities because the demand for credentialed graduates far exceeds the supply of credentialed graduates.

Mobile Device Security: Perspectives of Future Healthcare Workers.

Healthcare data breaches on mobile devices continue to increase, yet the healthcare industry has not adopted mobile device security standards. This increase is disturbing because individuals are often accessing patients' protected health information on personal mobile devices, which could lead to a data breach. This deficiency led the researchers to explore the perceptions of future healthcare workers regarding mobile device security.

Usability of Web-based Personal Health Records: An Analysis of Consumers' Perspectives.

Personal health records (PHRs) have many benefits, including the ability to increase involvement of patients in their care, which provides better healthcare outcomes. Although issues related to usability of PHRs are a significant barrier to adoption, there is a paucity of research in this area. Thus, the researchers explored consumers' perspective on the usability of two commercially available web-based PHRs.

Implementing EHRs: An Exploratory Study to Examine Current Practices in Migrating Physician Practice.

Implementation of electronic health record (EHR) systems in physician practices is challenging and complex. In the past, physicians had little incentive to move from paper-based records. With the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009, Medicare and Medicaid incentive payments are now available for physicians who implement EHRs for meaningful use.