Health Information Technology Commons^™

Factors Associated With Hepatitis C-Related Hospitalizations And Inpatient Mortality In The United States, Pre- And Post-Onset Of The Covid-19 Pandemic, Christina R. Samuel

College of Graduate Studies: Theses & Dissertations

Background: Hepatitis C is a significant public health problem in the United States and imposes a substantial burden on the healthcare system. Previous research shows that the COVID-19 pandemic response efforts have overshadowed hepatitis C testing and treatment measures in health care settings across the country. The purpose of this study was to describe and examine the factors associated with hepatitis C-related hospitalizations and inpatient mortality in the United States, pre- and post-onset of the COVID-19 pandemic. Methods: Data were obtained from the 2019-2020 National Inpatient Sample database. The study population included persons aged ≥18 years with hepatitis C-related inpatient …

Post-Covid-19 Cognitive Symptoms In Patients Assisted By A Teleassistance Service: A Retrospective Cohort Study, Lívia Paula Freire Bonfim, Thais Rotsen Correa, Bruno Cabaleiro Cortizo Freire, Thais Marques Pedroso, Daniella Nunes Pereira, Thalita Baptisteli Fernandes, Luciane Kopittke, Clara Rodrigues Alves De Oliveira, Antonio Lucio Teixeira, Milena Soriano Marcolino

Faculty, Staff and Student Publications

INTRODUCTION: Four years after the onset of the COVID-19 pandemic, the frequency of long-term post-COVID-19 cognitive symptoms is a matter of concern given the impact it may have on the work and quality of life of affected people.

OBJECTIVE: To evaluate the incidence of post-acute COVID-19 cognitive symptoms, as well as the associated risk factors.

METHODS: Retrospective cohort, including outpatients with laboratory-confirmed COVID-19 and who were assisted by a public telehealth service provided by the Telehealth Network of Minas Gerais (TNMG), during the acute phase of the disease, between December/2020 and March/2022. Data were collected through a structured questionnaire, applied …

Selecting Patient-Reported Outcome Measures For A Patient-Facing Technology, Priyank Raj, Youmin Cho, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

OBJECTIVE: This article provides insight into our process and considerations for selecting patient-reported outcome measures (PROMs) designed for self-reporting symptoms and quality-of-life among breast cancer (BCA) patients undergoing oral anticancer agent treatment via a patient-facing technology (PFT) platform.

METHODS: Following established guidelines, we conducted a thorough assessment of a specific set of PROMs, comparing their content to identify the most suitable options for studying BCA patients.

RESULTS: We recommend utilizing the combination of EORTC QLQ-C30 + EORTC QLQ-BR45 as the preferred instrument, especially when developing a dedicated "breast cancer-only" application.

DISCUSSION: When developing and maintaining a dashboard for a PFT …

Exploration Of The Implementation Of An Integrated Electronic Laboratory Information Management System On Quality Diagnostics Service Indicators At A County Level Public Hospital In Western Kenya., Kelly Allen

Capstone Collection

Underinvestment in pathology and laboratory capacity caused by low visibility in research and in prioritization by public health leaders results in limited effective healthcare coverage and an estimated 1.1 million premature deaths annually in Low-and-Middle-Income Countries. Kenya’s public health laboratories provide a median 41% of the Essential Diagnostic List to their patients and in Kisumu County, as much as 44.2% of the population has little to no access to essential diagnostics. The government of Kisumu implemented the county Health Laboratory Strategic Plan 2018-2022 to address this public health challenge. Little information exists on the effectiveness of these initiatives and the …

Innovation Process And Industrial System Of Us Food And Drug Administration-Approved Software As A Medical Device: Review And Content Analysis, Jiakan Yu, Jiajie Zhang, Shintaro Sengoku

Faculty, Staff and Student Publications

BACKGROUND: There has been a surge in academic and business interest in software as a medical device (SaMD). SaMD enables medical professionals to streamline existing medical practices and make innovative medical processes such as digital therapeutics a reality. Furthermore, SaMD is a billion-dollar market. However, SaMD is not clearly understood as a technological change and emerging industry.

OBJECTIVE: This study aims to review the landscape of SaMD in response to increasing interest in SaMD within health systems and regulation. The objectives of the study are to (1) clarify the innovation process of SaMD, (2) identify the prevailing typology of such …

Cancer Patients' Preferences And Perceptions Of Advantages And Disadvantages Of Telehealth Visits During The Covid-19 Pandemic, Deepika Kumar, Nancy Gordon, Constanza Zamani, Tammy Sheehan, Ernesto Martin, Olga Egorova, Jessica Payne, Tatjana Kolevska, Elad Neeman, Raymond Liu

Faculty, Staff and Student Publications

PURPOSE: We aimed to ascertain oncology patients' perceptions of telehealth versus in-person (IP) visits for different types of clinical encounters.

METHODS: We surveyed adults undergoing cancer treatment at Kaiser Permanente Northern California infusion centers between November 2021 and May 2022 using a self-administered questionnaire. Patients were asked about visit modality preferences (video, phone, and IP) for six types of clinical discussions, overall advantages and disadvantages of telehealth (video or phone) versus IP modalities, and barriers to video visit use.

RESULTS: The 839 patients who completed surveys in English were 63% female; median age 63 years; 64% White; and 73% college-educated …

Neurocomputing And Interfacing Digital Tasting System: Research, Design, And Evaluation, Amira J. Zaylaa, Ahmad El Hajj

BAU Journal - Science and Technology

The continuous evolution in computing and interfacing has been extended to develop multi-sensory experiences in many domains such as neurological, auditory, vision, and haptic domains. So far, only a few remarkable system approaches have been approved to be serving the taste sensation digitally. Although taste sensation is linked to the brain, there is a lack of optimal neurocomputing digital taste sensation systems. Our study provides a new neurocomputing method to digitally stimulate the sense of taste by electrical stimulation on the human tongue. We aim to link chemical stimulation and electrical stimulation in order to design an electronic interface for …

Non-Melanoma Skin Cancer Detection In The Age Of Advanced Technology: A Review, Haleigh Stafford, Jane Buell, Elizabeth Chiang, Uma Ramesh, Michael Migden, Priyadharsini Nagarajan, Moran Amit, Dan Yaniv

Faculty, Staff and Student Publications

Skin cancer is the most common cancer diagnosis in the United States, with approximately one in five Americans expected to be diagnosed within their lifetime. Non-melanoma skin cancer is the most prevalent type of skin cancer, and as cases rise globally, physicians need reliable tools for early detection. Artificial intelligence has gained substantial interest as a decision support tool in medicine, particularly in image analysis, where deep learning has proven to be an effective tool. Because specialties such as dermatology rely primarily on visual diagnoses, deep learning could have many diagnostic applications, including the diagnosis of skin cancer. Furthermore, with …

A New Method Using Deep Transfer Learning On Ecg To Predict The Response To Cardiac Resynchronization Therapy, Zhuo He, Hongjin Si, Xinwei Zhang, Qing-Hui Chen, Jiangang Zou, Weihua Zhou

Michigan Tech Publications

Background: Cardiac resynchronization therapy (CRT) has emerged as an effective treatment for heart failure patients with electrical dyssynchrony. However, accurately predicting which patients will respond to CRT remains a challenge. This study explores the application of deep transfer learning techniques to train a predictive model for CRT response. Methods: In this study, the short-time Fourier transform (STFT) technique was employed to transform ECG signals into two-dimensional images. A transfer learning approach was then applied on the MIT-BIT ECG database to pre-train a convolutional neural network (CNN) model. The model was fine-tuned to extract relevant features from the ECG images, and …

Predictive Ability Of A 3d Body Scanning Mobile Application For Metabolic Health Risk, Caleb Brandner

Master's Theses

There is an increasing prevalence of obesity within the US and rising rates of metabolic syndrome among those aged 20-39 concurrent with a decrease in the reception of primary care. Limitations to healthcare including access, cost, and availability, highlighting the need for simple, efficient, and accessible cardiometabolic health risk screening. Given the surge in smartphone ownership over the last decade, this study sought to determine the predictive ability of a mobile 3D-optical (3DO) body composition assessment application in determining metabolic health risk. A total of 62 participants (female: 36) underwent traditional anthropometric measurements, 3DO body scanning using a smartphone application, …

Deep Single-Cell Rna-Seq Data Clustering With Graph Prototypical Contrastive Learning, Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park

Faculty, Staff and Student Publications

MOTIVATION: Single-cell RNA sequencing enables researchers to study cellular heterogeneity at single-cell level. To this end, identifying cell types of cells with clustering techniques becomes an important task for downstream analysis. However, challenges of scRNA-seq data such as pervasive dropout phenomena hinder obtaining robust clustering outputs. Although existing studies try to alleviate these problems, they fall short of fully leveraging the relationship information and mainly rely on reconstruction-based losses that highly depend on the data quality, which is sometimes noisy.

RESULTS: This work proposes a graph-based prototypical contrastive learning method, named scGPCL. Specifically, scGPCL encodes the cell representations using Graph …

Quehry: A Question Answering System To Query Electronic Health Records, Sarvesh Soni, Surabhi Datta, Kirk Roberts

Faculty, Staff and Student Publications

OBJECTIVE: We propose a system, quEHRy, to retrieve precise, interpretable answers to natural language questions from structured data in electronic health records (EHRs).

MATERIALS AND METHODS: We develop/synthesize the main components of quEHRy: concept normalization (MetaMap), time frame classification (new), semantic parsing (existing), visualization with question understanding (new), and query module for FHIR mapping/processing (new). We evaluate quEHRy on 2 clinical question answering (QA) datasets. We evaluate each component separately as well as holistically to gain deeper insights. We also conduct a thorough error analysis for a crucial subcomponent, medical concept normalization.

RESULTS: Using gold concepts, the precision of quEHRy …

Using Critical Incident Debriefing After Code Blue Events To Support Registered Nurses, David L. Boyd

Doctor of Nursing Practice (DNP) Projects

Using Critical Incident Debriefing after Code Blue Events to Support Registered Nurses

Section I: Abstract

Background: During a code blue event (CBE), the environment becomes highly stressful and intense. Nurses rapidly transition from performing life-saving procedures on their patients to carrying out their usual duties. Without proper debriefing, nurses cannot properly process their emotions leading to increased burnout and secondary traumatic stress (Stamm, 2010).

Local Problem: In 2021, the nurses at Providence Saint John’s Health Center (2021a) responded to 110 CBEs, a 43% increase from 2020. Without a process for critical incident debriefing (CID), these nurses were exposed to trauma …

The Ethics Of Governance Of Data Analytics In Healthcare, Andrew Harrington

Electronic Theses and Dissertations

Recent literature and studies on data governance usually focus on data ethics and governance from a specific country or industry, which has been mostly business, without considering the larger global impact that is affected. Data is a worldwide asset; thus, its implications and considerations should be viewed as such. Hence, this dissertation attempts to incorporate this view by weaving together topics in healthcare, such as the blending of finance and delivery, data governance at the micro and macro levels, data analytics in healthcare, ethics of AI and information management, and technology’s impact on end-of-life practices. Through highlighting these areas of …

Prediction Of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu, Antonio Dono, Xiaoqian Jiang, Hua Xu, Yoshua Esquenazi, W Jim Zheng

Faculty, Staff and Student Publications

PURPOSE: Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately.

MATERIALS AND METHODS: We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention …

A Scoping Review Of Digital Health Interventions For Combating Covid-19 Misinformation And Disinformation, Katarzyna Czerniak, Raji Pillai, Abhi Parmar, Kavita Ramnath, Joseph Krocker, Sahiti Myneni

Faculty, Staff and Student Publications

OBJECTIVE: We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.

MATERIALS AND METHODS: We applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.

RESULTS: The majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. …

The Current Status And Future Prospects For Conversion Therapy In The Treatment Of Hepatocellular Carcinoma, Jinfeng Bai, Ming Huang, Bohan Song, Wei Luo, Rong Ding

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related deaths worldwide. In China, most HCC patients are diagnosed with advanced disease and in these cases surgery is challenging. Conversion therapy can be used to change unresectable HCC into resectable disease and is a potential breakthrough treatment strategy. The resection rate for unresectable advanced HCC has recently improved as a growing number of patients have benefited from conversion therapy. While conversion therapy is at an early stage of development, progress in patient selection, optimum treatment methods, and the timing of surgery have the potential to deliver significant benefits. In …

Assessing The Most Vulnerable Subgroup To Type Ii Diabetes Associated With Statin Usage: Evidence From Electronic Health Record Data, Xinzhou Guo, Waverly Wei, Molei Liu, Tianxi Cai, Chong Wu, Jingshen Wang

Faculty, Staff and Student Publications

There have been increased concerns that the use of statins, one of the most commonly prescribed drugs for treating coronary artery disease, is potentially associated with the increased risk of new-onset Type II diabetes (T2D). Nevertheless, to date, there is no robust evidence supporting as to whether and what kind of populations are indeed vulnerable for developing T2D after taking statins. In this case study, leveraging the biobank and electronic health record data in the Partner Health System, we introduce a new data analysis pipeline and a novel statistical methodology that address existing limitations by (i) designing a rigorous causal …

A Novel Use Of Bar Code Medication Administration Data To Assess Nurse Staffing And Workload, Melissa K Knox, Paras D Mehta, Lynette E Dorsey, Christine Yang, Laura A Petersen

Faculty, Staff and Students Publications

OBJECTIVE: The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow.

METHODS: Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, …

Respire: A Technological Tool To Navigate Mechanical Ventilation In Patient Care And Educational Settings, Swara Chokshi

Undergraduate Research Posters

Around the world, more than 20 million patients rely on mechanical ventilators annually; however, not enough individuals understand how to operate ventilators, posing a risk to the health of many. Moreover, it is increasingly difficult to determine optimal mechanical ventilator settings in a timely fashion, especially in low-resource countries and critical care areas. Respire is a mobile application that bridges this gap in a twofold manner: it is designed to assist healthcare workers around the world navigate and use mechanical ventilators effectively as well as educate the general public about mechanical ventilation. Respire offers a user-friendly yet educational interface that …

A Text-Based Smoking Cessation Intervention For Sexual And Gender Minority Groups: Protocol For A Feasibility Trial, Irene Tami-Maury, Rebecca Klaff, Allison Hussin, Nathan Grant Smith, Shine Chang, Lorna Mcneill, Lorraine R Reitzel, Sanjay Shete, Lorien C Abroms

Faculty, Staff and Student Publications

BACKGROUND: Smoking among sexual and gender minority (SGM) groups, which include lesbian, gay, bisexual, transgender, and queer individuals, has been reported to be highly prevalent. This is attributed to several factors, including minority-specific stress and targeted tobacco marketing. Therefore, this population is at an increased risk for tobacco-related diseases. SMS text messaging programs have been found to be effective for smoking cessation and appeal to traditionally hard-to-reach populations over other interventions. It has also been suggested that targeted and tailored interventions could be more effective among SGM smokers because they can be designed to assure a safe, validating health care …

Low Rates Of Structured Advance Care Planning Documentation In Electronic Health Records: Results Of A Single-Center Observational Study, Adela Wu, Robert J Huang, Gabriela Ruiz Colón, Chris Zembrzuski, Chirag B Patel

Faculty, Staff and Student Publications

BACKGROUND: Proper advance care planning (ACP) documentation both improves patient care and is increasingly seen as a marker of high quality by governmental payers. The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. At the same time, the complexity and heterogeneity of the EHR, as well as the multiple potential storage locations for documentation, may lead to confusion and inaccessibility. There has been movement to promote structured ACP (S-ACP) documentation within the EHR.

METHODS: We performed a retrospective cohort study at a single, large university …

Prevalence Of Prediabetes And Diabetes Vary By Ethnicity Among Us Asian Adults At Healthy Weight, Overweight, And Obesity Ranges: An Electronic Health Record Study, William S Vicks, Joan C Lo, Lynn Guo, Jamal S Rana, Sherry Zhang, Nirmala D Ramalingam, Nancy P Gordon

Faculty, Staff and Student Publications

BACKGROUND: Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system.

METHODS: Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were …

Application In Medicine: Has Artificial Intelligence Stood The Test Of Time, Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigar, Samira Shabbir Balouch, Sajid Abaidullah

Medical College Documents

Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers …

The Effectiveness Of Facebook As A Social Network Intervention To Increase Physical Activity In Chinese Young Adults, Patrick W.C. Lau, J. J. Wang, Lynda B. Ransdell, Lei Shi

Kinesiology Faculty Publications and Presentations

Introduction: Facebook, one of the worlds' most popular online social networks, is easy to access and cost-effective. Its use to enhance individual's physical activity (PA) participation should be examined. This research reviews the effectiveness and successful features of Facebook for influencing PA behaviors in young adults (Study 1), and empirically examines the efficacy of the features purported in increase PA via a Facebook intervention (Study 2).

Methods: In Study 1, PubMed, Medline, SPORT Discus, ERIC, and Embase were searched for articles that identified successful features and effectiveness of Facebook PA interventions published between January 2005 and February 2022. In Study …

Aligning The American Health Information Management Association Entry-Level Curricula Competencies And Career Map With Industry Job Postings: Cross-Sectional Study, Susan H Fenton, David T Marc, Angela Kennedy, Debra Hamada, Robert Hoyt, Karima Lalani, Connie Renda, Rebecca B Reynolds

Faculty, Staff and Student Publications

BACKGROUND: The field of health information management (HIM) focuses on the protection and management of health information from a variety of sources. The American Health Information Management Association (AHIMA) Council for Excellence in Education (CEE) determines the needed skills and competencies for this field. AHIMA's HIM curricula competencies are divided into several domains among the associate, undergraduate, and graduate levels. Moreover, AHIMA's career map displays career paths for HIM professionals. What is not known is whether these competencies and the career map align with industry demands.

OBJECTIVE: The primary aim of this study is to analyze HIM job postings on …

Mobile Health Applications For Postpartum Depression Management: A Theory-Informed Analysis Of Change-Use-Engagement (Cue) Criteria In The Digital Environment, Alexandra Zingg, Laura Carter, Deevakar Rogith, Sudhakar Selvaraj, Amy Franklin, Sahiti Myneni

Faculty, Staff and Student Publications

Postpartum Depression (PPD) is the most common childbirth complication, with approximately 15% of postpartum women experiencing depression symptoms. Mobile applications have potential to expand delivery of mental health interventions. However, our understanding of how these tools engage women with PPD and facilitate positive behavioral changes is limited. In our paper, we analyze 15 commercial PPD applications to understand their role as facilitators of change, engagement, and sustained use. Applications reviewed contained an average of four theory-based behavioral change techniques, and highest patient engagement level reached was to empower patients through patient-generated data. Heuristic violations were identified in areas including user …

The Technical Landscape For Patient-Centered Cds: Progress, Gaps, And Challenges, Prashila Dullabh, Krysta Heaney-Huls, David F Lobach, Lauren S Hovey, Shana F Sandberg, Priyanka J Desai, Edwin Lomotan, James Swiger, Michael I Harrison, Chris Dymek, Dean F Sittig, Aziz Boxwala

Faculty, Staff and Student Publications

Supporting healthcare decision-making that is patient-centered and evidence-based requires investments in the development of tools and techniques for dissemination of patient-centered outcomes research findings via methods such as clinical decision support (CDS). This article explores the technical landscape for patient-centered CDS (PC CDS) and the gaps in making PC CDS more shareable, standards-based, and publicly available, with the goal of improving patient care and clinical outcomes. This landscape assessment used: (1) a technical expert panel; (2) a literature review; and (3) interviews with 18 CDS stakeholders. We identified 7 salient technical considerations that span 5 phases of PC CDS development. …

Benefits Of, Barriers To, And Needs For An Artificial Intelligence-Powered Medication Information Voice Chatbot For Older Adults: Interview Study With Geriatrics Experts, Meghana Gudala, Mary Ellen Trail Ross, Sunitha Mogalla, Mandi Lyons, Padmavathy Ramaswamy, Kirk Roberts

Faculty, Staff and Student Publications

BACKGROUND: One of the most complicated medical needs of older adults is managing their complex medication regimens. However, the use of technology to aid older adults in this endeavor is impeded by the fact that their technological capabilities are lower than those of much of the rest of the population. What is needed to help manage medications is a technology that seamlessly integrates within their comfort levels, such as artificial intelligence agents.

OBJECTIVE: This study aimed to assess the benefits, barriers, and information needs that can be provided by an artificial intelligence-powered medication information voice chatbot for older adults.

METHODS: …

Implementation Of A Drive-Through Covid-19 Mass Vaccination Site: Experiences From Louvax–Broadbent In Louisville, Kentucky, Ruth Carrico, Sarah Beth Hartlage, Valenchia Brown Msn, Aprn, Fnp-C, Sarah M. Bishop, Luanne Didelot, William Hayden, Beverly Williams Coleman, Sarah Tan, Delanor Manson, Kellie Kane, Dawn Balcom, Paul Kern

The University of Louisville Journal of Respiratory Infections

Background: Response to the COVID-19 pandemic has required innovative approaches to vaccination, including methods to rapidly and safely immunize communities. A major challenge to such a response involved access to untapped healthcare worker resources. The Louisville, Kentucky, response involved the use of a large volunteer workforce to supplement local public health employees in planning and implementing a large-scale drive-through vaccination event. The objective of this manuscript was to outline processes involved in training a mass immunization workforce and implementating a large-scale COVID-19 community vaccination.

Approach: Competency-based and standardized training was provided for every volunteer before working their shift. Volunteers worked …