Health Information Technology Commons^™

Business Process Redesign In The Perioperative Process: A Case Perspective For Digital Transformation, Jim Ryan, Barbara Doster, Sandra Daily, Carmen Lewis

Transactions of the International Conference on Health Information Technology Advancement

This case study investigates business process redesign within the perioperative process as a method to achieve digital transformation. Specific perioperative sub-processes are targeted for re-design and digitalization, which yield improvement. Based on a 184-month longitudinal study of a large 1,157 registered-bed academic medical center, the observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy to yield a digital transformation framework that supports patient-centric improvement across perioperative sub-processes. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved …

Does It Spending Matter On Hospital Financial Performance And Quality?, C. Christopher Lee, Christopher Chagnon, Robert Marfia

Transactions of the International Conference on Health Information Technology Advancement

This research explored impacts of IT spending on hospital financial performance and hospital quality. We developed two research hypotheses accordingly. The first hypothesis was that IT spending would be positively related to the hospital financial performance, and the second hypothesis was that hospitals with higher IT spending would have better quality metrics. We used the 2017 American Hospital Association Survey data and the HCAHPS dataset from Medicare website. We tested three hospital financials and three quality measures. We employed T-Tests and ANOVA models to test the hypotheses. Results were inconclusive for both hypotheses. Evidence showed statistical significance on two out …

Communication Style In Medical Crowdfunding: Effect Of Emotional Framing And Updates Frequency On Funding And Emotional Support, Onochie Fan-Osuala

Transactions of the International Conference on Health Information Technology Advancement

Despite the rise of medical crowdfunding and its benefits to patients including reducing financial hardships and providing emotional social support, limited attention has been paid to how a campaign organizer can drive performance. In this study, we investigate how the communication style used in a medical crowdfunding campaign can affect both the funding performance and emotional support received. We find that emotional framing and frequent updates have a positive effect on funding and emotional support and discuss the implications.

Hsp: A Tool For Heat Stress Prevention For Farm Workers, Juan C. Lavariega-Jarquín, Marc Schenker, Alfonso Ávila, Lorena G. Gomez

Transactions of the International Conference on Health Information Technology Advancement

We present the initial development of an integrated application for heat stress and heat related illness prevention in farm workers. In developing the application we have follow the OSHA guidelines and an extended project includes the social, cultural and economic factors of farm workers. Even though, our development focus is on workers in the California fields, we believe our project will be useful in multiple situations where individuals are exposed to extreme heat working conditions. This paper describes the motivation for our development, the overall approach we are following, and the first version of our application.

Pressure Injury And Restraint Prevalence Surveys: Saving Time And Dollars For Patient Care By Automating Manual Chart Abstraction, Jefton Knight, Melinda Gevaart, Stephanie Wagner, Shellie Bush, Jeanann Miller

Transactions of the International Conference on Health Information Technology Advancement

Bronson Healthcare Group performs quarterly pressure injury and restraint audits as part of the National Database of Nursing Quality Indicators (NDNQI). The chart abstraction portion of the audit previously required nurses to manually abstract 31 data points. To save time and cost, we used Lean and PDSA process improvement tools to automate the chart abstraction portion of the audit, reducing the number of data points requiring manual abstraction to 2. We validated the automated abstraction by comparing it to abstractions done manually by the audit nurses. We found that an automated process has the potential to reduce the impact of …

Patient Trust And Resistance Towards Patient Portals, Ashley Spivak, Michael Dohan, Shikui Wu, Wenyao Zhao

Transactions of the International Conference on Health Information Technology Advancement

Health information technologies (HITs) as facilitators of chronic disease self-management remains an ongoing topic for information system researchers. This research addresses a gap in knowledge surrounding patient trust and resistance towards using these technologies, specifically patient portals. The method used to accomplish this study is through the dispersion of a quantitative survey to participants in Ontario, Canada. This survey focused on questions related to the four variables that have been identified through the literature to be important in determining patient resistance of HITs. The results indicate the importance of patient trust in mitigating their resistance to using these technologies.

“Real World” Research Using Practice Based Research Networks (Pbrn): A Systematic Review, Elmon Oliver Iii, Robert Brown

Transactions of the International Conference on Health Information Technology Advancement

Objective: While the randomized control clinical trial (RCT) has long been viewed as the “gold standard” for evidence based medicine, researchers and clinicians have also recognized limitations of RCTs when applied to clinical practice. These limitations arise from the fact that the results of interventions and procedures of RCTs conducted in controlled institutional settings often differ significantly from results obtained when the same interventions are applied in clinical practice. Consequently, there are increasing calls for more research to be carried out in the “real world” setting of clinical practices treating heterogeneous groups of patients. Studies conducted in clinical practices are …

Modeling Big Medical Survival Data Using Decision Tree Analysis With Apache Spark, Abdalrahman Alsaedi, Alvis Fong, Ikhlas Abdelqader, Mohammed Niaz Delano, Khulud Altaie

Transactions of the International Conference on Health Information Technology Advancement

In many medical studies, an outcome of interest is not only whether an event occurred, but when an event occurred; and an example of this is Alzheimer’s disease (AD). Identifying patients with Mild Cognitive Impairment (MCI) who are likely to develop Alzheimer’s disease (AD) is highly important for AD treatment. Previous studies suggest that not all MCI patients will convert to AD. Massive amounts of data from longitudinal and extensive studies on thousands of Alzheimer’s patients have been generated. Building a computational model that can predict conversion form MCI to AD can be highly beneficial for early intervention and treatment …

The Effects Of Outdoor Air Pollutants On The Costs Of Stroke Hospitalizations In China, Siyu Zeng, Luo Li, Fang Chen

Transactions of the International Conference on Health Information Technology Advancement

Stroke, the most frequent cause of severe disability and the second cause of death among adults in the world, brings tremendous mental and economic burden to patients and their families. Emerging evidence indicates that the air pollution mixture contributes to strokes. Knowing the relationship between the air pollution and the hospital costs of stroke can help us predict the costs due to air pollution, provide grounds for the allocation of medical insurance funds, and provide better working arrangements for CDC. However, few studies have examined this connection. We used time series analysis with a generalized additive model to estimate the …

360 Degree Virtual Reality Increases Student’S Confidence In Clinical Skills In Simulation, Ronda Christman, Barbara James, Kerry Allen

Faculty Works

No abstract provided.

Telehealth In Critical Care: Quality And Cost Outcomes, Stephanie Cole, Michael Robie, Bukola Abodunde, Alberto Coustasse

Management Faculty Research

As the population of the United States has continued to age, there has been an increase in usage and Hospital Length of Stay (LOS) costs of Intensive Care Unit (ICU) beds. In the early 2000s, it was determined there would be a shortage of all ICU providers within the next decade due to the increased need for critical care for the aging generation. Around this time, the Leapfrog Group was formed to demand that hospitals improve quality and decrease cost. Utilization of telehealth in the ICU was a possible alternative, which had a positive impact on both clinical and financial …

It-Based Patient Interventions For Opioid Abuse: Evaluation Using Analytical Model, Neetu Singh, Upkar Varshney

Transactions of the International Conference on Health Information Technology Advancement

The number of people in the US with opioid abuse exceeds 2 million and the total cost is approximately $100B per year. In this study, we focus on patient-level interventions and present three IT-based interventions: (a) mobile reminders, (b) electronic monitoring, and (c) composite intervention. We have developed an analytical model for evaluating interventions using Return-on-Investment (ROI). The interventions are cost-effective for higher values of intervention effectiveness, hospital, and emergency room cost. However, with QoL improvement, cost-effectiveness improves significantly. We also explored the use of financial incentives for increasing the adoption of interventions. These results will help patients, healthcare professionals, …

The Dynamics Of Real-Time Online Information And Disease Progression: Understanding Spatial Heterogeneity In The Relationship, Blake Tindol, Utkarsh Shrivastava, Kuanchin Chen

Transactions of the International Conference on Health Information Technology Advancement

The re-emergence of infectious diseases such as measles and polio is creating logistics challenges for the state authorities to curb their spread and contain them. (CL, 2015) Real-time surveillance of infectious diseases is important to detect possible epidemics in advance to prevent shortages of medications (FDA, 2018). The outbreak of an infectious disease creates panic in the community and is accompanied by a sudden increase in the online interest in knowing more about the disease and its symptoms. Prior studies have found a strong relationship between web-based information and disease outbreak but the influence of dynamics of web-based information in …

Impact Of Ehr Usability On Provider Efficiency And Patient Safety In Non-Hospital Settings, Guenter Tusch, Raymond J. Higbea, Marie Vanderkooi, Larry Warkoczeski, Wanda Sankey, Jamie Cole

Transactions of the International Conference on Health Information Technology Advancement

Healthcare organizations may reap benefits transitioning to electronic health records (EHRs), such as decreased healthcare costs and better care. However, severe unintended consequences from implementation and design of these systems have emerged. Poorly implemented EHR systems may endanger the integrity of clinical or administrative data. That, in turn, can lead to errors jeopardizing patient safety or quality of care. A literature review of 40 sources identified how EHR implementation and design can impact provider centric, patient centric, and outcomes. These categories provided the basis for a comprehensive EHR impact model that was evaluated in non-hospital settings through focus groups interviews.

Impact Of Integrating A Neonatal Early-Onset Sepsis Risk Calculator Into The Electronic Health Record., Nyles T Fowler, Michael Garcia, Cynthia Hankins

Articles, Abstracts, and Reports

Investigators from Kaiser Permanente developed a risk-assessment calculator as a tool for evaluation of early-onset sepsis (EOS) to narrow antibiotic use for the treatment of EOS. The integration of the EOS risk calculator into an electronic health record will minimize manual calculations and data entry and improve compliance and accuracy through automation.

Methods: We performed a retrospective chart review for neonates ≥34 weeks and 0 days gestational age. We collected data pre-integration and post-integration of the EOS risk calculator. The primary outcome measure is the accuracy of user input into the calculator. Secondary outcomes include compliance with using the EOS …

Radical Technological Innovation And Perception: A Non-Physician Practitioners’ Perspective, Mercedes Maarup, Michael Dohan, Wenyao Zhao, Shikui Wu

Transactions of the International Conference on Health Information Technology Advancement

Radical technological innovations, such as chatbots, fundamentally alter many aspects of healthcare organizations. For example, they transform how clinicians care for their patients. Despite the potential benefits, they cannot be integrated into practice without the support of the clinicians whose jobs are affected. While previous research shed important light on physicians’ perceptions, little is known on nonphysician practitioners view said innovations. This paper reports on a qualitative study, involving 10 nonphysician clinicians from Ontario, Canada, conducted to determine the perceptions and cognitions of clinicians regarding radical innovation and their previous experiences with technological change. Results indicate that clinicians as semi-autonomous …

Transactions Of 2019 International Conference On Health Information Technology Advancement Vol. 4 No. 1, Center For Health Information Technology Advancement

Transactions of the International Conference on Health Information Technology Advancement

The Fourth International Conference on Health Information Technology Advancement Kalamazoo, Michigan, October 31 - Nov. 1, 2019.

Conference Co-Chairs Bernard T. Han and Muhammad Razi, Department of Business Information Systems, Haworth College of Business, Western Michigan University Kalamazoo, MI 49008

Transaction Editor Dr. Huei Lee, Professor, Department of Computer Information Systems, Eastern Michigan University Ypsilanti, MI 48197

Volume 4, No. 1

Hosted by The Center for Health Information Technology Advancement, WMU

November 2019, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

National Diabetes Awareness Month Diabetes is one of the leading causes of disability and death in the United States. One in 10 Americans have diabetes — that’s more than 30 million people. There are also 84 million adults in the United States are at high risk of developing type 2 diabetes.

Depending on your age, weight, and other factors, you may be at higher risk of developing type 2 diabetes. The good news is that making healthy changes can greatly lower your risk. To help prevent type 2 diabetes:

• Watch your weight
• Eat healthy
• Get more physical activity

Community-Acquired Pneumonia Pathogenesis In Patients With Chronic Obstructive Pulmonary Disease, Julio A. Ramirez, Rodrigo Cavallazzi

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Smrtfridge: Iot-Based, User Interaction-Driven Food Item & Quantity Sensing, Amit Sharma, Archan Misra, Vengateswaran Subramaniam, Youngki Lee

Research Collection School Of Computing and Information Systems

We present SmrtFridge, a consumer-grade smart fridge prototype that demonstrates two key capabilities: (a) identify the individual food items that users place in or remove from a fridge, and (b) estimate the residual quantity of food items inside a refrigerated container (opaque or transparent). Notably, both of these inferences are performed unobtrusively, without requiring any explicit user action or tagging of food objects. To achieve these capabilities, SmrtFridge uses a novel interaction-driven, multi-modal sensing pipeline, where Infrared (IR) and RGB video sensing, triggered whenever a user interacts naturally with the fridge, is used to extract a foreground visual image of …

Vitamon: Measuring Heart Rate Variability Using Smartphone Front Camera, Sinh Huynh, Rajesh Krishna Balan, Jeonggil Ko, Youngki Lee

Research Collection School Of Computing and Information Systems

We present VitaMon, a mobile sensing system that can measure the inter-heartbeat interval (IBI) from the facial video captured by a commodity smartphone's front camera. The continuous IBI measurement is used to compute heart rate variability (HRV), one of the most important markers of the autonomic nervous system (ANS) regulation. The underlying idea of VitaMon is that video recording of human face contains multiple cardiovascular pulse signals with different phase shift. Our measurement on 10 participants shows the significant time delay (36.79 ms) between the pulse signals measured at the jaw region and forehead region. VitaMon leverages deep neural network …

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 …

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 …

Connecting Aces To In-Patient Behavioral Health Treatment Associated With Bullying/Cyberbullying, Rachel Pfafman, Jessica Pater, Lauren Reining, Michelle Drouin, Connie Kerrigan, Kelley Kardys

Health Services and Informatics Research

Depression, Smart Phone Dependence, and Social Media Cyberbullying Among Youth and Young Adults Wyatt Meriwether, PhD, Quality, Safety, & Value, Kansas City VA Medical Center, Independence, MO APHA's 2019 Annual Meeting and Expo (Nov. 2 - Nov. 6)

Abstract: Connecting ACEs to in-patient behavioral health treatment associated with bullying/cyberbullying.

Bullying/cyberbullying are pervasive for today’s youth – 28% report being bullied and 30% report having been a bully themselves. Involvement with cyberbullying is linked to depression, suicidal ideation, and attempted or completed suicide. In addition to bullying/cyberbullying, adverse childhood experiences (ACEs) impact future violence victimization and perpetration. The CDC estimates that …

Artificial Intelligence And The Challenge For Rural Medicine, James Denvir

Marshall Journal of Medicine

Recent advances in artificial intelligence, machine learning, and deep learning are beginning to have an impact on everyday experiences, from natural language processing used in automated telephone call centers to semi-autonomous vehicles. These techniques have also been applied to medical care. In this editorial we discuss applications of AI to medicine and argue for a proactive approach to include rural medicine in this paradigm shift.

What’S New In Civic Tech: Watech Launches Gis Data Portal, Zack Quaintance

Innovation and SimLab

Plus, a data competition aims to reduce Indiana’s infant mortality rate; Code for America’s GetCalFresh program works to reach eligible self-employed residents; and Louisiana has a new Medicaid enrollment app.

Original online article link

Population Health Management, Data And Technology, Helena Ladd, Cody Hepp, Anna Mccloud, Hannah Granger, Mary Ellen Hethcox, Samuel Calabrese

Pharmacy and Wellness Review

No abstract provided.

October 2019, Randy Curry, Cindy Brooks

RURAL ROCKS

Rural Rocks, the Rural Health Network newsletter by the SWOSU College of Pharmacy

What Do Faculties Specializing In Brain And Neural Sciences Think About, And How Do They Approach, Brain-Friendly Teaching-Learning In Iran?, Sahar Ghanbari, Fariba Haghani, Malahat Akbarfahimi

Journal of Mind and Medical Sciences

Objective: to investigate the perspectives and experiences of the faculties specializing in brain and neural sciences regarding brain-friendly teaching-learning in Iran. Methods: 17 faculties from 5 universities were selected by purposive sampling (2018). In-depth semi-structured interviews with directed content analysis were used. Results: 31 sub-subcategories, 10 subcategories, and 4 categories were formed according to the “General teaching model”. “Mentorship” was a newly added category. Conclusions: A neuro-educational approach that consider the roles of the learner’s brain uniqueness, executive function facilitation, and the valence system are important to learning. Such learning can be facilitated through cognitive load considerations, repetition, deep questioning, …

Association Of Urine Levels Of C-Reactive Protein With Clinical Outcomes In Patients With Pneumonia: A Pilot Study, Subathra Marimuthu, Vidyulata Salunkhe, Stephen P. Furmanek, Leslie A Wolf

The University of Louisville Journal of Respiratory Infections

Finding relevant biomarkers as a potential predictor of severity for patients hospitalized with community acquired pneumonia (CAP), in addition to the clinical scoring system, could advance progress towards more effective patient management. The inflammatory marker, C-reactive protein (CRP), which is elevated in the pathogenesis of many infectious diseases, may be a key biomarker target for CAP. Previous studies have shown that serum CRP may be a useful diagnostic marker for pneumonia in hospitalized patients with acute respiratory symptoms. The main aims of this study were to determine the correlation between serum and urine CRP levels in hospitalized patients with CAP, …